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{"Situation Recognition: Visual Semantic Role Labeling for Image Understanding ": ["Yatskar, Mark and Zettlemoyer, Luke and Farhadi, Ali", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yatskar_Situation_Recognition_Visual_CVPR_2016_paper.pdf"], "DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed With Deep Features": ["Sinha, Ayan and Choi, Chiho and Ramani, Karthik", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sinha_DeepHand_Robust_Hand_CVPR_2016_paper.pdf"], "Structured Feature Similarity With Explicit Feature Map": ["Kobayashi, Takumi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kobayashi_Structured_Feature_Similarity_CVPR_2016_paper.pdf"], "Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks": ["Yu, Haonan and Wang, Jiang and Huang, Zhiheng and Yang, Yi and Xu, Wei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Video_Paragraph_Captioning_CVPR_2016_paper.pdf"], "A Continuous Occlusion Model for Road Scene Understanding": ["Dhiman, Vikas and Tran, Quoc-Huy and Corso, Jason J. and Chandraker, Manmohan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dhiman_A_Continuous_Occlusion_CVPR_2016_paper.pdf"], "Mirror Surface Reconstruction Under an Uncalibrated Camera": ["Han, Kai and Wong, Kwan-Yee K. and Schnieders, Dirk and Liu, Miaomiao", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Han_Mirror_Surface_Reconstruction_CVPR_2016_paper.pdf"], "A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis": ["Banerjee, Monami and Chakraborty, Rudrasis and Ofori, Edward and Okun, Michael S. and Viallancourt, David E. and Vemuri, Baba C.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Banerjee_A_Nonlinear_Regression_CVPR_2016_paper.pdf"], "Learning Activity Progression in LSTMs for Activity Detection and Early Detection": ["Ma, Shugao and Sigal, Leonid and Sclaroff, Stan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ma_Learning_Activity_Progression_CVPR_2016_paper.pdf"], "A Consensus-Based Framework for Distributed Bundle Adjustment": ["Eriksson, Anders and Bastian, John and Chin, Tat-Jun and Isaksson, Mats", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Eriksson_A_Consensus-Based_Framework_CVPR_2016_paper.pdf"], "A 3D Morphable Model Learnt From 10,000 Faces": ["Booth, James and Roussos, Anastasios and Zafeiriou, Stefanos and Ponniah, Allan and Dunaway, David", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Booth_A_3D_Morphable_CVPR_2016_paper.pdf"], "iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning": ["Borji, Ali and Izadi, Saeed and Itti, Laurent", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Borji_iLab-20M_A_Large-Scale_CVPR_2016_paper.pdf"], "Multi-Cue Zero-Shot Learning With Strong Supervision": ["Akata, Zeynep and Malinowski, Mateusz and Fritz, Mario and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Akata_Multi-Cue_Zero-Shot_Learning_CVPR_2016_paper.pdf"], "Force From Motion: Decoding Physical Sensation in a First Person Video": ["Soo Park, Hyun and Hwang, jyh-Jing and Shi, Jianbo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Park_Force_From_Motion_CVPR_2016_paper.pdf"], "Modality and Component Aware Feature Fusion For RGB-D Scene Classification": ["Wang, Anran and Cai, Jianfei and Lu, Jiwen and Cham, Tat-Jen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Modality_and_Component_CVPR_2016_paper.pdf"], "Using Spatial Order to Boost the Elimination of Incorrect Feature Matches": ["Talker, Lior and Moses, Yael and Shimshoni, Ilan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Talker_Using_Spatial_Order_CVPR_2016_paper.pdf"], "Gaussian Conditional Random Field Network for Semantic Segmentation": ["Vemulapalli, Raviteja and Tuzel, Oncel and Liu, Ming-Yu and Chellapa, Rama", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vemulapalli_Gaussian_Conditional_Random_CVPR_2016_paper.pdf"], "Isometric Non-Rigid Shape-From-Motion in Linear Time": ["Parashar, Shaifali and Pizarro, Daniel and Bartoli, Adrien", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Parashar_Isometric_Non-Rigid_Shape-From-Motion_CVPR_2016_paper.pdf"], "EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild": ["Fabian Benitez-Quiroz, C. and Srinivasan, Ramprakash and Martinez, Aleix M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Benitez-Quiroz_EmotioNet_An_Accurate_CVPR_2016_paper.pdf"], "HyperDepth: Learning Depth From Structured Light Without Matching": ["Ryan Fanello, Sean and Rhemann, Christoph and Tankovich, Vladimir and Kowdle, Adarsh and Orts Escolano, Sergio and Kim, David and Izadi, Shahram", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fanello_HyperDepth_Learning_Depth_CVPR_2016_paper.pdf"], "A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets": ["Lillo, Ivan and Carlos Niebles, Juan and Soto, Alvaro", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lillo_A_Hierarchical_Pose-Based_CVPR_2016_paper.pdf"], "Fast Algorithms for Convolutional Neural Networks": ["Lavin, Andrew and Gray, Scott", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lavin_Fast_Algorithms_for_CVPR_2016_paper.pdf"], "Conformal Surface Alignment With Optimal Mobius Search": ["Le, Huu and Chin, Tat-Jun and Suter, David", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Le_Conformal_Surface_Alignment_CVPR_2016_paper.pdf"], "PPP: Joint Pointwise and Pairwise Image Label Prediction": ["Wang, Yilin and Wang, Suhang and Tang, Jiliang and Liu, Huan and Li, Baoxin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_PPP_Joint_Pointwise_CVPR_2016_paper.pdf"], "Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling": ["Blaha, Maros and Vogel, Christoph and Richard, Audrey and Wegner, Jan D. and Pock, Thomas and Schindler, Konrad", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Blaha_Large-Scale_Semantic_3D_CVPR_2016_paper.pdf"], "Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer": ["Frigo, Oriel and Sabater, Neus and Delon, Julie and Hellier, Pierre", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Frigo_Split_and_Match_CVPR_2016_paper.pdf"], "Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework": ["Kim, Yong-Deok and Jang, Taewoong and Han, Bohyung and Choi, Seungjin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kim_Learning_to_Select_CVPR_2016_paper.pdf"], "Automating Carotid Intima-Media Thickness Video Interpretation With Convolutional Neural Networks": ["Shin, Jae and Tajbakhsh, Nima and Todd Hurst, R. and Kendall, Christopher B. and Liang, Jianming", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shin_Automating_Carotid_Intima-Media_CVPR_2016_paper.pdf"], "Group MAD Competition - A New Methodology to Compare Objective Image Quality Models": ["Ma, Kede and Wu, Qingbo and Wang, Zhou and Duanmu, Zhengfang and Yong, Hongwei and Li, Hongliang and Zhang, Lei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ma_Group_MAD_Competition_CVPR_2016_paper.pdf"], "Detecting Migrating Birds at Night": ["Huang, Jia-Bin and Caruana, Rich and Farnsworth, Andrew and Kelling, Steve and Ahuja, Narendra", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Detecting_Migrating_Birds_CVPR_2016_paper.pdf"], "Proposal Flow": ["Ham, Bumsub and Cho, Minsu and Schmid, Cordelia and Ponce, Jean", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ham_Proposal_Flow_CVPR_2016_paper.pdf"], "Robust Visual Place Recognition With Graph Kernels": ["Stumm, Elena and Mei, Christopher and Lacroix, Simon and Nieto, Juan and Hutter, Marco and Siegwart, Roland", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Stumm_Robust_Visual_Place_CVPR_2016_paper.pdf"], "We Are Humor Beings: Understanding and Predicting Visual Humor": ["Chandrasekaran, Arjun and Vijayakumar, Ashwin K. and Antol, Stanislaw and Bansal, Mohit and Batra, Dhruv and Lawrence Zitnick, C. and Parikh, Devi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chandrasekaran_We_Are_Humor_CVPR_2016_paper.pdf"], "Top-Push Video-Based Person Re-Identification": ["You, Jinjie and Wu, Ancong and Li, Xiang and Zheng, Wei-Shi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/You_Top-Push_Video-Based_Person_CVPR_2016_paper.pdf"], "CNN-RNN: A Unified Framework for Multi-Label Image Classification": ["Wang, Jiang and Yang, Yi and Mao, Junhua and Huang, Zhiheng and Huang, Chang and Xu, Wei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_CNN-RNN_A_Unified_CVPR_2016_paper.pdf"], "Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency": ["Cholakkal, Hisham and Johnson, Jubin and Rajan, Deepu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cholakkal_Backtracking_ScSPM_Image_CVPR_2016_paper.pdf"], "ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation": ["Lin, Di and Dai, Jifeng and Jia, Jiaya and He, Kaiming and Sun, Jian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lin_ScribbleSup_Scribble-Supervised_Convolutional_CVPR_2016_paper.pdf"], "Efficient and Robust Color Consistency for Community Photo Collections": ["Park, Jaesik and Tai, Yu-Wing and Sinha, Sudipta N. and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Park_Efficient_and_Robust_CVPR_2016_paper.pdf"], "What Sparse Light Field Coding Reveals About Scene Structure": ["Johannsen, Ole and Sulc, Antonin and Goldluecke, Bastian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Johannsen_What_Sparse_Light_CVPR_2016_paper.pdf"], "Recovering Transparent Shape From Time-Of-Flight Distortion": ["Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Kubo, Hiroyuki and Matsushita, Yasuyuki and Yagi, Yasushi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tanaka_Recovering_Transparent_Shape_CVPR_2016_paper.pdf"], "An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds": ["Chakraborty, Rudrasis and Seo, Dohyung and Vemuri, Baba C.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chakraborty_An_Efficient_Exact-PGA_CVPR_2016_paper.pdf"], "Noisy Label Recovery for Shadow Detection in Unfamiliar Domains": ["Yago Vicente, Tomas F. and Hoai, Minh and Samaras, Dimitris", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vicente_Noisy_Label_Recovery_CVPR_2016_paper.pdf"], "Using Self-Contradiction to Learn Confidence Measures in Stereo Vision": ["Mostegel, Christian and Rumpler, Markus and Fraundorfer, Friedrich and Bischof, Horst", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mostegel_Using_Self-Contradiction_to_CVPR_2016_paper.pdf"], "Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent": ["Volokitin, Anna and Gygli, Michael and Boix, Xavier", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Volokitin_Predicting_When_Saliency_CVPR_2016_paper.pdf"], "Stacked Attention Networks for Image Question Answering": ["Yang, Zichao and He, Xiaodong and Gao, Jianfeng and Deng, Li and Smola, Alex", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Stacked_Attention_Networks_CVPR_2016_paper.pdf"], "Efficient Indexing of Billion-Scale Datasets of Deep Descriptors": ["Babenko, Artem and Lempitsky, Victor", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Babenko_Efficient_Indexing_of_CVPR_2016_paper.pdf"], "Learning Relaxed Deep Supervision for Better Edge Detection": ["Liu, Yu and Lew, Michael S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Learning_Relaxed_Deep_CVPR_2016_paper.pdf"], "Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding": ["Maire, Michael and Narihira, Takuya and Yu, Stella X.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Maire_Affinity_CNN_Learning_CVPR_2016_paper.pdf"], "Learning to Co-Generate Object Proposals With a Deep Structured Network": ["Hayder, Zeeshan and He, Xuming and Salzmann, Mathieu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hayder_Learning_to_Co-Generate_CVPR_2016_paper.pdf"], "Traffic-Sign Detection and Classification in the Wild": ["Zhu, Zhe and Liang, Dun and Zhang, Songhai and Huang, Xiaolei and Li, Baoli and Hu, Shimin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Traffic-Sign_Detection_and_CVPR_2016_paper.pdf"], "Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation": ["Liu, Shu and Qi, Xiaojuan and Shi, Jianping and Zhang, Hong and Jia, Jiaya", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Multi-Scale_Patch_Aggregation_CVPR_2016_paper.pdf"], "Depth From Semi-Calibrated Stereo and Defocus": ["Wang, Ting-Chun and Srikanth, Manohar and Ramamoorthi, Ravi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Depth_From_Semi-Calibrated_CVPR_2016_paper.pdf"], "Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach": ["Queau, Yvain and Mecca, Roberto and Durou, Jean-Denis", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Queau_Unbiased_Photometric_Stereo_CVPR_2016_paper.pdf"], "Robust Scene Text Recognition With Automatic Rectification": ["Shi, Baoguang and Wang, Xinggang and Lyu, Pengyuan and Yao, Cong and Bai, Xiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shi_Robust_Scene_Text_CVPR_2016_paper.pdf"], "Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation": ["Hubert Tsai, Yao-Hung and Yeh, Yi-Ren and Frank Wang, Yu-Chiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tsai_Learning_Cross-Domain_Landmarks_CVPR_2016_paper.pdf"], "Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC": ["Oskarsson, Magnus and Batstone, Kenneth and Astrom, Kalle", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Oskarsson_Trust_No_One_CVPR_2016_paper.pdf"], "Unconstrained Salient Object Detection via Proposal Subset Optimization": ["Zhang, Jianming and Sclaroff, Stan and Lin, Zhe and Shen, Xiaohui and Price, Brian and Mech, Radomir", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Unconstrained_Salient_Object_CVPR_2016_paper.pdf"], "Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images": ["Song, Shuran and Xiao, Jianxiong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Song_Deep_Sliding_Shapes_CVPR_2016_paper.pdf"], "Staple: Complementary Learners for Real-Time Tracking": ["Bertinetto, Luca and Valmadre, Jack and Golodetz, Stuart and Miksik, Ondrej and Torr, Philip H. S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bertinetto_Staple_Complementary_Learners_CVPR_2016_paper.pdf"], "Robust Tensor Factorization With Unknown Noise": ["Chen, Xi'ai and Han, Zhi and Wang, Yao and Zhao, Qian and Meng, Deyu and Tang, Yandong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Robust_Tensor_Factorization_CVPR_2016_paper.pdf"], "Pairwise Decomposition of Image Sequences for Active Multi-View Recognition": ["Johns, Edward and Leutenegger, Stefan and Davison, Andrew J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Johns_Pairwise_Decomposition_of_CVPR_2016_paper.pdf"], "TenSR: Multi-Dimensional Tensor Sparse Representation": ["Qi, Na and Shi, Yunhui and Sun, Xiaoyan and Yin, Baocai", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Qi_TenSR_Multi-Dimensional_Tensor_CVPR_2016_paper.pdf"], "CoMaL: Good Features to Match on Object Boundaries": ["Ravindran, Swarna K. and Mittal, Anurag", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ravindran_CoMaL_Good_Features_CVPR_2016_paper.pdf"], "Composition-Preserving Deep Photo Aesthetics Assessment": ["Mai, Long and Jin, Hailin and Liu, Feng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mai_Composition-Preserving_Deep_Photo_CVPR_2016_paper.pdf"], "Semantic 3D Reconstruction With Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint": ["Savinov, Nikolay and Hane, Christian and Ladicky, Lubor and Pollefeys, Marc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Savinov_Semantic_3D_Reconstruction_CVPR_2016_paper.pdf"], "Analyzing Classifiers: Fisher Vectors and Deep Neural Networks": ["Lapuschkin, Sebastian and Binder, Alexander and Montavon, Gregoire and Muller, Klaus-Robert and Samek, Wojciech", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bach_Analyzing_Classifiers_Fisher_CVPR_2016_paper.pdf"], "Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs": ["Ge, Liuhao and Liang, Hui and Yuan, Junsong and Thalmann, Daniel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ge_Robust_3D_Hand_CVPR_2016_paper.pdf"], "Semi-Supervised Vocabulary-Informed Learning": ["Fu, Yanwei and Sigal, Leonid", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fu_Semi-Supervised_Vocabulary-Informed_Learning_CVPR_2016_paper.pdf"], "Weakly Supervised Deep Detection Networks": ["Bilen, Hakan and Vedaldi, Andrea", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bilen_Weakly_Supervised_Deep_CVPR_2016_paper.pdf"], "Image Style Transfer Using Convolutional Neural Networks": ["Gatys, Leon A. and Ecker, Alexander S. and Bethge, Matthias", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf"], "What Value Do Explicit High Level Concepts Have in Vision to Language Problems?": ["Wu, Qi and Shen, Chunhua and Liu, Lingqiao and Dick, Anthony and van den Hengel, Anton", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wu_What_Value_Do_CVPR_2016_paper.pdf"], "Exemplar-Driven Top-Down Saliency Detection via Deep Association": ["He, Shengfeng and Lau, Rynson W.H. and Yang, Qingxiong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/He_Exemplar-Driven_Top-Down_Saliency_CVPR_2016_paper.pdf"], "GOGMA: Globally-Optimal Gaussian Mixture Alignment": ["Campbell, Dylan and Petersson, Lars", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Campbell_GOGMA_Globally-Optimal_Gaussian_CVPR_2016_paper.pdf"], "Amplitude Modulated Video Camera - Light Separation in Dynamic Scenes": ["Kolaman, Amir and Lvov, Maxim and Hagege, Rami and Guterman, Hugo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kolaman_Amplitude_Modulated_Video_CVPR_2016_paper.pdf"], "Latent Embeddings for Zero-Shot Classification": ["Xian, Yongqin and Akata, Zeynep and Sharma, Gaurav and Nguyen, Quynh and Hein, Matthias and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xian_Latent_Embeddings_for_CVPR_2016_paper.pdf"], "Scene Recognition With CNNs: Objects, Scales and Dataset Bias": ["Herranz, Luis and Jiang, Shuqiang and Li, Xiangyang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Herranz_Scene_Recognition_With_CVPR_2016_paper.pdf"], "Coordinating Multiple Disparity Proposals for Stereo Computation": ["Li, Ang and Chen, Dapeng and Liu, Yuanliu and Yuan, Zejian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Coordinating_Multiple_Disparity_CVPR_2016_paper.pdf"], "Unsupervised Learning of Discriminative Attributes and Visual Representations": ["Huang, Chen and Change Loy, Chen and Tang, Xiaoou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Unsupervised_Learning_of_CVPR_2016_paper.pdf"], "Visual Tracking Using Attention-Modulated Disintegration and Integration": ["Choi, Jongwon and Jin Chang, Hyung and Jeong, Jiyeoup and Demiris, Yiannis and Young Choi, Jin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Choi_Visual_Tracking_Using_CVPR_2016_paper.pdf"], "Object-Proposal Evaluation Protocol is 'Gameable'": ["Chavali, Neelima and Agrawal, Harsh and Mahendru, Aroma and Batra, Dhruv", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chavali_Object-Proposal_Evaluation_Protocol_CVPR_2016_paper.pdf"], "MDL-CW: A Multimodal Deep Learning Framework With Cross Weights": ["Rastegar, Sarah and Soleymani, Mahdieh and Rabiee, Hamid R. and Mohsen Shojaee, Seyed", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rastegar_MDL-CW_A_Multimodal_CVPR_2016_paper.pdf"], "Functional Faces: Groupwise Dense Correspondence Using Functional Maps": ["Zhang, Chao and Smith, William A. P. and Dessein, Arnaud and Pears, Nick and Dai, Hang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Functional_Faces_Groupwise_CVPR_2016_paper.pdf"], "Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions": ["Jeon, Hae-Gon and Lee, Joon-Young and Im, Sunghoon and Ha, Hyowon and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jeon_Stereo_Matching_With_CVPR_2016_paper.pdf"], "Moral Lineage Tracing": ["Jug, Florian and Levinkov, Evgeny and Blasse, Corinna and Myers, Eugene W. and Andres, Bjoern", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jug_Moral_Lineage_Tracing_CVPR_2016_paper.pdf"], "Structural-RNN: Deep Learning on Spatio-Temporal Graphs": ["Jain, Ashesh and Zamir, Amir R. and Savarese, Silvio and Saxena, Ashutosh", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jain_Structural-RNN_Deep_Learning_CVPR_2016_paper.pdf"], "Rolling Rotations for Recognizing Human Actions From 3D Skeletal Data": ["Vemulapalli, Raviteja and Chellapa, Rama", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vemulapalli_Rolling_Rotations_for_CVPR_2016_paper.pdf"], "Refining Architectures of Deep Convolutional Neural Networks": ["Shankar, Sukrit and Robertson, Duncan and Ioannou, Yani and Criminisi, Antonio and Cipolla, Roberto", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shankar_Refining_Architectures_of_CVPR_2016_paper.pdf"], "Temporal Multimodal Learning in Audiovisual Speech Recognition": ["Hu, Di and Li, Xuelong and lu, Xiaoqiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Temporal_Multimodal_Learning_CVPR_2016_paper.pdf"], "Groupwise Tracking of Crowded Similar-Appearance Targets From Low-Continuity Image Sequences": ["Yu, Hongkai and Zhou, Youjie and Simmons, Jeff and Przybyla, Craig P. and Lin, Yuewei and Fan, Xiaochuan and Mi, Yang and Wang, Song", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Groupwise_Tracking_of_CVPR_2016_paper.pdf"], "RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image With Only 64 KB Overhead": ["Nguyen, Rang M. H. and Brown, Michael S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Nguyen_RAW_Image_Reconstruction_CVPR_2016_paper.pdf"], "Learning a Discriminative Null Space for Person Re-Identification": ["Zhang, Li and Xiang, Tao and Gong, Shaogang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Learning_a_Discriminative_CVPR_2016_paper.pdf"], "Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees": ["Wegner, Jan D. and Branson, Steven and Hall, David and Schindler, Konrad and Perona, Pietro", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wegner_Cataloging_Public_Objects_CVPR_2016_paper.pdf"], "Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks": ["Jampani, Varun and Kiefel, Martin and Gehler, Peter V.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jampani_Learning_Sparse_High_CVPR_2016_paper.pdf"], "DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection": ["Liu, Nian and Han, Junwei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_DHSNet_Deep_Hierarchical_CVPR_2016_paper.pdf"], "Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network": ["Hong, Seunghoon and Oh, Junhyuk and Lee, Honglak and Han, Bohyung", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hong_Learning_Transferrable_Knowledge_CVPR_2016_paper.pdf"], "Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints": ["Shibata, Takashi and Tanaka, Masayuki and Okutomi, Masatoshi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shibata_Gradient-Domain_Image_Reconstruction_CVPR_2016_paper.pdf"], "Single-Image Crowd Counting via Multi-Column Convolutional Neural Network": ["Zhang, Yingying and Zhou, Desen and Chen, Siqin and Gao, Shenghua and Ma, Yi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Single-Image_Crowd_Counting_CVPR_2016_paper.pdf"], "Direct Prediction of 3D Body Poses From Motion Compensated Sequences": ["Tekin, Bugra and Rozantsev, Artem and Lepetit, Vincent and Fua, Pascal", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tekin_Direct_Prediction_of_CVPR_2016_paper.pdf"], "Simultaneous Clustering and Model Selection for Tensor Affinities": ["Li, Zhuwen and Yang, Shuoguang and Cheong, Loong-Fah and Toh, Kim-Chuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Simultaneous_Clustering_and_CVPR_2016_paper.pdf"], "Pose-Aware Face Recognition in the Wild": ["Masi, Iacopo and Rawls, Stephen and Medioni, Gerard and Natarajan, Prem", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Masi_Pose-Aware_Face_Recognition_CVPR_2016_paper.pdf"], "Real-Time Action Recognition With Enhanced Motion Vector CNNs": ["Zhang, Bowen and Wang, Limin and Wang, Zhe and Qiao, Yu and Wang, Hanli", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Real-Time_Action_Recognition_CVPR_2016_paper.pdf"], "WIDER FACE: A 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["Zhuang, Bohan and Lin, Guosheng and Shen, Chunhua and Reid, Ian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhuang_Fast_Training_of_CVPR_2016_paper.pdf"], "From Noise Modeling to Blind Image Denoising": ["Zhu, Fengyuan and Chen, Guangyong and Heng, Pheng-Ann", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_From_Noise_Modeling_CVPR_2016_paper.pdf"], "Recurrent Attention Models for Depth-Based Person Identification": ["Haque, Albert and Alahi, Alexandre and Fei-Fei, Li", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Haque_Recurrent_Attention_Models_CVPR_2016_paper.pdf"], "Unsupervised Learning of Edges": ["Li, Yin and Paluri, Manohar and Rehg, James M. and Dollar, Piotr", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Unsupervised_Learning_of_CVPR_2016_paper.pdf"], "Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach": ["Nasihatkon, Behrooz and Fejne, Frida and Kahl, Fredrik", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Nasihatkon_Globally_Optimal_Rigid_CVPR_2016_paper.pdf"], "Efficient Deep Learning for Stereo Matching": ["Luo, Wenjie and Schwing, Alexander G. and Urtasun, Raquel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Luo_Efficient_Deep_Learning_CVPR_2016_paper.pdf"], "Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop": ["Cui, Yin and Zhou, Feng and Lin, Yuanqing and Belongie, Serge", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cui_Fine-Grained_Categorization_and_CVPR_2016_paper.pdf"], "Sparsifying Neural Network Connections for Face Recognition": ["Sun, Yi and Wang, Xiaogang and Tang, Xiaoou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sun_Sparsifying_Neural_Network_CVPR_2016_paper.pdf"], "Joint Training of Cascaded CNN for Face Detection": ["Qin, Hongwei and Yan, Junjie and Li, Xiu and Hu, Xiaolin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Qin_Joint_Training_of_CVPR_2016_paper.pdf"], "Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video": ["Jayaraman, Dinesh and Grauman, Kristen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jayaraman_Slow_and_Steady_CVPR_2016_paper.pdf"], "An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability": ["Karianakis, Nikolaos and Dong, Jingming and Soatto, Stefano", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Karianakis_An_Empirical_Evaluation_CVPR_2016_paper.pdf"], "From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection": ["Meng, Jingjing and Wang, Hongxing and Yuan, Junsong and Tan, Yap-Peng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Meng_From_Keyframes_to_CVPR_2016_paper.pdf"], "Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence": ["Xie, Jin and Wang, Meng 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"http://openaccess.thecvf.com/content_cvpr_2016/papers/Vemulapalli_Deep_Gaussian_Conditional_CVPR_2016_paper.pdf"], "Semantic Segmentation With Boundary Neural Fields": ["Bertasius, Gedas and Shi, Jianbo and Torresani, Lorenzo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bertasius_Semantic_Segmentation_With_CVPR_2016_paper.pdf"], "Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization": ["Xie, Qi and Zhao, Qian and Meng, Deyu and Xu, Zongben and Gu, Shuhang and Zuo, Wangmeng and Zhang, Lei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xie_Multispectral_Images_Denoising_CVPR_2016_paper.pdf"], "Improving Person Re-Identification via Pose-Aware Multi-Shot Matching": ["Cho, Yeong-Jun and Yoon, Kuk-Jin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Improving_Person_Re-Identification_CVPR_2016_paper.pdf"], "Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction": ["Vo, Minh and Narasimhan, Srinivasa G. and Sheikh, Yaser", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vo_Spatiotemporal_Bundle_Adjustment_CVPR_2016_paper.pdf"], "Recognizing Activities of Daily Living With a Wrist-Mounted Camera": ["Ohnishi, Katsunori and Kanehira, Atsushi and Kanezaki, Asako and Harada, Tatsuya", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ohnishi_Recognizing_Activities_of_CVPR_2016_paper.pdf"], "Anticipating Visual Representations From Unlabeled Video": ["Vondrick, Carl and Pirsiavash, Hamed and Torralba, Antonio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vondrick_Anticipating_Visual_Representations_CVPR_2016_paper.pdf"], "Guaranteed Outlier Removal With Mixed Integer Linear Programs": ["Chin, Tat-Jun and Heng Kee, Yang and Eriksson, Anders and Neumann, Frank", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chin_Guaranteed_Outlier_Removal_CVPR_2016_paper.pdf"], "DAG-Recurrent Neural Networks For Scene Labeling": ["Shuai, Bing and Zuo, Zhen and Wang, Bing and Wang, Gang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shuai_DAG-Recurrent_Neural_Networks_CVPR_2016_paper.pdf"], "Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses": ["Huang, Haifei and Zhang, Hui and Cheung, Yiu-ming", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Homography_Estimation_From_CVPR_2016_paper.pdf"], "Online Collaborative Learning for Open-Vocabulary Visual Classifiers": ["Zhang, Hanwang and Shang, Xindi and Yang, Wenzhuo and Xu, Huan and Luan, Huanbo and Chua, Tat-Seng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Online_Collaborative_Learning_CVPR_2016_paper.pdf"], "Zero-Shot Learning via Joint Latent Similarity Embedding": ["Zhang, Ziming and Saligrama, Venkatesh", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Zero-Shot_Learning_via_CVPR_2016_paper.pdf"], "Virtual Worlds as Proxy for Multi-Object Tracking Analysis": ["Gaidon, Adrien and Wang, Qiao and Cabon, Yohann and Vig, Eleonora", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gaidon_Virtual_Worlds_as_CVPR_2016_paper.pdf"], "Gravitational Approach for Point Set Registration": ["Golyanik, Vladislav and Aziz Ali, Sk and Stricker, Didier", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Golyanik_Gravitational_Approach_for_CVPR_2016_paper.pdf"], "Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency": ["Zhang, Chi and Li, Zhiwei and Cai, Rui and Chao, Hongyang and Rui, Yong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Joint_Multiview_Segmentation_CVPR_2016_paper.pdf"], "Sparse Coding for Classification via Discrimination Ensemble": ["Quan, Yuhui and Xu, Yong and Sun, Yuping and Huang, Yan and Ji, Hui", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Quan_Sparse_Coding_for_CVPR_2016_paper.pdf"], "Visual7W: Grounded Question Answering in Images": ["Zhu, Yuke and Groth, Oliver and Bernstein, Michael and Fei-Fei, Li", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Visual7W_Grounded_Question_CVPR_2016_paper.pdf"], "Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation": ["Honari, Sina and Yosinski, Jason and Vincent, Pascal and Pal, Christopher", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Honari_Recombinator_Networks_Learning_CVPR_2016_paper.pdf"], "Learning Aligned Cross-Modal Representations From Weakly Aligned Data": ["Castrejon, Lluis and Aytar, Yusuf and Vondrick, Carl and Pirsiavash, Hamed and Torralba, Antonio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Castrejon_Learning_Aligned_Cross-Modal_CVPR_2016_paper.pdf"], "Sublabel-Accurate Relaxation of Nonconvex Energies": ["Mollenhoff, Thomas and Laude, Emanuel and Moeller, Michael and Lellmann, Jan and Cremers, Daniel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mollenhoff_Sublabel-Accurate_Relaxation_of_CVPR_2016_paper.pdf"], "The Solution Path Algorithm for Identity-Aware Multi-Object Tracking": ["Yu, Shoou-I and Meng, Deyu and Zuo, Wangmeng and Hauptmann, Alexander", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_The_Solution_Path_CVPR_2016_paper.pdf"], "Consensus of Non-Rigid Reconstructions": ["Lee, Minsik and Cho, Jungchan and Oh, Songhwai", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lee_Consensus_of_Non-Rigid_CVPR_2016_paper.pdf"], "Determining Occlusions From Space and Time Image Reconstructions": ["Perez-Rua, Juan-Manuel and Crivelli, Tomas and Bouthemy, Patrick and Perez, Patrick", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Perez-Rua_Determining_Occlusions_From_CVPR_2016_paper.pdf"], "Multi-Oriented Text Detection With Fully Convolutional Networks": ["Zhang, Zheng and Zhang, Chengquan and Shen, Wei and Yao, Cong and Liu, Wenyu and Bai, Xiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Multi-Oriented_Text_Detection_CVPR_2016_paper.pdf"], "Semantic Object Parsing With Local-Global Long Short-Term Memory": ["Liang, Xiaodan and Shen, Xiaohui and Xiang, Donglai and Feng, Jiashi and Lin, Liang and Yan, Shuicheng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liang_Semantic_Object_Parsing_CVPR_2016_paper.pdf"], "Yin and Yang: Balancing and Answering Binary Visual Questions": ["Zhang, Peng and Goyal, Yash and Summers-Stay, Douglas and Batra, Dhruv and Parikh, Devi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Yin_and_Yang_CVPR_2016_paper.pdf"], "GraB: Visual Saliency via Novel Graph Model and Background Priors": ["Wang, Qiaosong and Zheng, Wen and Piramuthu, Robinson", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_GraB_Visual_Saliency_CVPR_2016_paper.pdf"], "Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction": ["Simo-Serra, Edgar and Ishikawa, Hiroshi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Simo-Serra_Fashion_Style_in_CVPR_2016_paper.pdf"], "Visual Path Prediction in Complex Scenes With 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M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jacobsen_Structured_Receptive_Fields_CVPR_2016_paper.pdf"], "VLAD3: Encoding Dynamics of Deep Features for Action Recognition": ["Li, Yingwei and Li, Weixin and Mahadevan, Vijay and Vasconcelos, Nuno", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_VLAD3_Encoding_Dynamics_CVPR_2016_paper.pdf"], "Highlight Detection With Pairwise Deep Ranking for First-Person Video Summarization": ["Yao, Ting and Mei, Tao and Rui, Yong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yao_Highlight_Detection_With_CVPR_2016_paper.pdf"], "Structured Feature Learning for Pose Estimation": ["Chu, Xiao and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chu_Structured_Feature_Learning_CVPR_2016_paper.pdf"], "Temporal Action Localization in Untrimmed Videos via Multi-Stage CNNs": ["Shou, Zheng and Wang, Dongang and Chang, Shih-Fu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shou_Temporal_Action_Localization_CVPR_2016_paper.pdf"], "Canny Text Detector: Fast and Robust Scene Text Localization Algorithm": ["Cho, Hojin and Sung, Myungchul and Jun, Bongjin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cho_Canny_Text_Detector_CVPR_2016_paper.pdf"], "Deep Metric Learning via Lifted Structured Feature Embedding": ["Oh Song, Hyun and Xiang, Yu and Jegelka, Stefanie and Savarese, Silvio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Song_Deep_Metric_Learning_CVPR_2016_paper.pdf"], "Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales": ["Yang, Tsun-Yi and Lin, Yen-Yu and Chuang, Yung-Yu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Accumulated_Stability_Voting_CVPR_2016_paper.pdf"], "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis": ["Li, Chuan and Wand, Michael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Combining_Markov_Random_CVPR_2016_paper.pdf"], "Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer": ["Tang, Yuxing and Wang, Josiah and Gao, Boyang and Dellandrea, Emmanuel and Gaizauskas, Robert and Chen, Liming", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tang_Large_Scale_Semi-Supervised_CVPR_2016_paper.pdf"], "Single Image Camera Calibration With Lenticular Arrays for Augmented Reality": ["Schillebeeckx, Ian and Pless, Robert", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Schillebeeckx_Single_Image_Camera_CVPR_2016_paper.pdf"], "A New Finsler Minimal Path Model With Curvature Penalization for Image Segmentation and Closed Contour Detection": ["Chen, Da and Mirebeau, Jean-Marie and Cohen, Laurent D.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_A_New_Finsler_CVPR_2016_paper.pdf"], "Mining Discriminative Triplets of Patches for Fine-Grained 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Wang, Gang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shahroudy_NTU_RGBD_A_CVPR_2016_paper.pdf"], "RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian With Application to Material Recognition": ["Wang, Qilong and Li, Peihua and Zuo, Wangmeng and Zhang, Lei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_RAID-G_Robust_Estimation_CVPR_2016_paper.pdf"], "Multi-Label Ranking From Positive and Unlabeled Data": ["Kanehira, Atsushi and Harada, Tatsuya", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kanehira_Multi-Label_Ranking_From_CVPR_2016_paper.pdf"], "TI-Pooling: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks": ["Laptev, Dmitry and Savinov, Nikolay and Buhmann, Joachim M. and Pollefeys, Marc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Laptev_TI-Pooling_Transformation-Invariant_Pooling_CVPR_2016_paper.pdf"], "A Multi-Level Contextual Model For Person Recognition in Photo Albums": ["Li, Haoxiang and Brandt, Jonathan and Lin, Zhe and Shen, Xiaohui and Hua, Gang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_A_Multi-Level_Contextual_CVPR_2016_paper.pdf"], "DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes": ["Dasgupta, Saumitro and Fang, Kuan and Chen, Kevin and Savarese, Silvio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dasgupta_DeLay_Robust_Spatial_CVPR_2016_paper.pdf"], "Deep Structured Scene Parsing by Learning With Image Descriptions": ["Lin, Liang and Wang, Guangrun and Zhang, Rui and Zhang, Ruimao and Liang, Xiaodan and Zuo, Wangmeng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lin_Deep_Structured_Scene_CVPR_2016_paper.pdf"], "Convexity Shape Constraints for Image Segmentation": ["Royer, Loic A. and Richmond, David L. and Rother, Carsten and Andres, Bjoern and Kainmueller, Dagmar", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Royer_Convexity_Shape_Constraints_CVPR_2016_paper.pdf"], "Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis": ["Quan, Yuhui and Bao, Chenglong and Ji, Hui", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Quan_Equiangular_Kernel_Dictionary_CVPR_2016_paper.pdf"], "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions": ["Kumar B G, Vijay and Carneiro, Gustavo and Reid, Ian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/G_Learning_Local_Image_CVPR_2016_paper.pdf"], "6D Dynamic Camera Relocalization From Single Reference Image": ["Feng, Wei and Tian, Fei-Peng and Zhang, Qian and Sun, Jizhou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Feng_6D_Dynamic_Camera_CVPR_2016_paper.pdf"], "A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation": ["Perazzi, Federico and Pont-Tuset, Jordi and McWilliams, Brian and Van Gool, Luc and Gross, Markus and Sorkine-Hornung, Alexander", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Perazzi_A_Benchmark_Dataset_CVPR_2016_paper.pdf"], "Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff": ["Chang, Julie and Kauvar, Isaac and Hu, Xuemei and Wetzstein, Gordon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_Variable_Aperture_Light_CVPR_2016_paper.pdf"], "Person Re-Identification by Multi-Channel Parts-Based CNN With Improved Triplet Loss Function": ["Cheng, De and Gong, Yihong and Zhou, Sanping and Wang, Jinjun and Zheng, Nanning", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Person_Re-Identification_by_CVPR_2016_paper.pdf"], "Layered Scene Decomposition via the Occlusion-CRF": ["Liu, Chen and Kohli, Pushmeet and Furukawa, Yasutaka", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Layered_Scene_Decomposition_CVPR_2016_paper.pdf"], "Joint Probabilistic Matching Using m-Best Solutions": ["Hamid Rezatofighi, Seyed and Milan, Anton and Zhang, Zhen and Shi, Qinfeng and Dick, Anthony and Reid, Ian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rezatofighi_Joint_Probabilistic_Matching_CVPR_2016_paper.pdf"], "Actions ~ Transformations": ["Wang, Xiaolong and Farhadi, Ali and Gupta, Abhinav", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Actions__Transformations_CVPR_2016_paper.pdf"], "SketchNet: Sketch Classification With Web Images": ["Zhang, Hua and Liu, Si and Zhang, Changqing and Ren, Wenqi and Wang, Rui and Cao, Xiaochun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_SketchNet_Sketch_Classification_CVPR_2016_paper.pdf"], "Principled Parallel Mean-Field Inference for Discrete Random Fields": ["Baque, Pierre and Bagautdinov, Timur and Fleuret, Francois and Fua, Pascal", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Baque_Principled_Parallel_Mean-Field_CVPR_2016_paper.pdf"], "Non-Local Image Dehazing": ["Berman, Dana and treibitz, Tali and Avidan, Shai", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Berman_Non-Local_Image_Dehazing_CVPR_2016_paper.pdf"], "A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation": ["Fu, Xueyang and Zeng, Delu and Huang, Yue and Zhang, Xiao-Ping and Ding, Xinghao", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fu_A_Weighted_Variational_CVPR_2016_paper.pdf"], "Panoramic Stereo Videos With a Single Camera": ["Aggarwal, Rajat and Vohra, Amrisha and Namboodiri, Anoop M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Aggarwal_Panoramic_Stereo_Videos_CVPR_2016_paper.pdf"], "Learning to Match Aerial Images With Deep Attentive Architectures": ["Altwaijry, Hani and Trulls, Eduard and Hays, James and Fua, Pascal and Belongie, Serge", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Altwaijry_Learning_to_Match_CVPR_2016_paper.pdf"], "SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition": ["Zhang, Han and Xu, Tao and Elhoseiny, Mohamed and Huang, Xiaolei and Zhang, Shaoting and Elgammal, Ahmed and Metaxas, Dimitris", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_SPDA-CNN_Unifying_Semantic_CVPR_2016_paper.pdf"], "Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes": ["Kottur, Satwik and Vedantam, Ramakrishna and Moura, Jose M. F. and Parikh, Devi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kottur_Visual_Word2Vec_vis-w2v_CVPR_2016_paper.pdf"], "Aggregating Image and Text Quantized Correlated Components": ["Quynh Nhi Tran, Thi and Le Borgne, Herve and Crucianu, Michel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tran_Aggregating_Image_and_CVPR_2016_paper.pdf"], "Object Detection From Video Tubelets With Convolutional Neural Networks": ["Kang, Kai and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kang_Object_Detection_From_CVPR_2016_paper.pdf"], "Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation": ["Kruthiventi, Srinivas S. S. and Gudisa, Vennela and Dholakiya, Jaley H. and Venkatesh Babu, R.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kruthiventi_Saliency_Unified_A_CVPR_2016_paper.pdf"], "Progressively Parsing Interactional Objects for Fine Grained Action Detection": ["Ni, Bingbing and Yang, Xiaokang and Gao, Shenghua", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ni_Progressively_Parsing_Interactional_CVPR_2016_paper.pdf"], "Seven Ways to Improve Example-Based Single Image Super Resolution": ["Timofte, Radu and Rothe, Rasmus and Van Gool, Luc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Timofte_Seven_Ways_to_CVPR_2016_paper.pdf"], "Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning": ["Pan, Pingbo and Xu, Zhongwen and Yang, Yi and Wu, Fei and Zhuang, Yueting", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pan_Hierarchical_Recurrent_Neural_CVPR_2016_paper.pdf"], "Face2Face: Real-Time Face Capture and Reenactment of RGB Videos": ["Thies, Justus and Zollhofer, Michael and Stamminger, Marc and Theobalt, Christian and Niessner, Matthias", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Thies_Face2Face_Real-Time_Face_CVPR_2016_paper.pdf"], "Learning Deep Representation for Imbalanced Classification": ["Huang, Chen and Li, Yining and Change Loy, Chen and Tang, Xiaoou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Learning_Deep_Representation_CVPR_2016_paper.pdf"], "Prior-Less Compressible Structure From Motion": ["Kong, Chen and Lucey, Simon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kong_Prior-Less_Compressible_Structure_CVPR_2016_paper.pdf"], "Efficient Globally Optimal 2D-To-3D Deformable Shape Matching": ["Lahner, Zorah and Rodola, Emanuele and Schmidt, Frank R. and Bronstein, Michael M. and Cremers, Daniel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lahner_Efficient_Globally_Optimal_CVPR_2016_paper.pdf"], "Hedged Deep Tracking": ["Qi, Yuankai and Zhang, Shengping and Qin, Lei and Yao, Hongxun and Huang, Qingming and Lim, Jongwoo and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Qi_Hedged_Deep_Tracking_CVPR_2016_paper.pdf"], "Region Ranking SVM for Image Classification": ["Wei, Zijun and Hoai, Minh", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wei_Region_Ranking_SVM_CVPR_2016_paper.pdf"], "Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation": ["Kwak, Suha and Cho, Minsu and Laptev, Ivan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwak_Thin-Slicing_for_Pose_CVPR_2016_paper.pdf"], "Beyond F-Formations: Determining Social Involvement in Free Standing Conversing Groups From Static Images": ["Zhang, Lu and Hung, Hayley", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Beyond_F-Formations_Determining_CVPR_2016_paper.pdf"], "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation": ["Mayer, Nikolaus and Ilg, Eddy and Hausser, Philip and Fischer, Philipp and Cremers, Daniel and Dosovitskiy, Alexey and Brox, Thomas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mayer_A_Large_Dataset_CVPR_2016_paper.pdf"], "Sample-Specific SVM Learning for Person Re-Identification": ["Zhang, Ying and Li, Baohua and Lu, Huchuan and Irie, Atshushi and Ruan, Xiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Sample-Specific_SVM_Learning_CVPR_2016_paper.pdf"], "Active Image Segmentation Propagation": ["Dutt Jain, Suyog and Grauman, Kristen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jain_Active_Image_Segmentation_CVPR_2016_paper.pdf"], "Robust, Real-Time 3D Tracking of Multiple Objects With Similar Appearances": ["Sekii, Taiki", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sekii_Robust_Real-Time_3D_CVPR_2016_paper.pdf"], "Joint Recovery of Dense Correspondence and Cosegmentation in Two Images": ["Taniai, Tatsunori and Sinha, Sudipta N. and Sato, Yoichi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Taniai_Joint_Recovery_of_CVPR_2016_paper.pdf"], "Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions": ["Jang, Won-Dong and Lee, Chulwoo and Kim, Chang-Su", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jang_Primary_Object_Segmentation_CVPR_2016_paper.pdf"], "Rotational Crossed-Slit Light Field": ["Li, Nianyi and Lin, Haiting and Sun, Bilin and Zhou, Mingyuan and Yu, Jingyi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Rotational_Crossed-Slit_Light_CVPR_2016_paper.pdf"], "MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors": ["Erdil, Ertunc and Yildirim, Sinan and Cetin, Mujdat and Tasdizen, Tolga", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Erdil_MCMC_Shape_Sampling_CVPR_2016_paper.pdf"], "Seeing Behind the Camera: Identifying the Authorship of a Photograph": ["Thomas, Christopher and Kovashka, Adriana", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Thomas_Seeing_Behind_the_CVPR_2016_paper.pdf"], "Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming": ["Chhatkuli, Ajad and Pizarro, Daniel and Collins, Toby and Bartoli, Adrien", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chhatkuli_Inextensible_Non-Rigid_Shape-From-Motion_CVPR_2016_paper.pdf"], "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network": ["Shi, Wenzhe and Caballero, Jose and Huszar, Ferenc and Totz, Johannes and Aitken, Andrew P. and Bishop, Rob and Rueckert, Daniel and Wang, Zehan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shi_Real-Time_Single_Image_CVPR_2016_paper.pdf"], "STCT: Sequentially Training Convolutional Networks for Visual Tracking": ["Wang, Lijun and Ouyang, Wanli and Wang, Xiaogang and Lu, Huchuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_STCT_Sequentially_Training_CVPR_2016_paper.pdf"], "Coherent Parametric Contours for Interactive Video Object Segmentation": ["Lu, Yao and Bai, Xue and Shapiro, Linda and Wang, Jue", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lu_Coherent_Parametric_Contours_CVPR_2016_paper.pdf"], "We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification": ["Papadopoulos, Dim P. and Uijlings, Jasper R. R. and Keller, Frank and Ferrari, Vittorio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Papadopoulos_We_Dont_Need_CVPR_2016_paper.pdf"], "DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation": ["Pishchulin, Leonid and Insafutdinov, Eldar and Tang, Siyu and Andres, Bjoern and Andriluka, Mykhaylo and Gehler, Peter V. and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pishchulin_DeepCut_Joint_Subset_CVPR_2016_paper.pdf"], "Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction": ["Osman Ulusoy, Ali and Black, Michael J. and Geiger, Andreas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ulusoy_Patches_Planes_and_CVPR_2016_paper.pdf"], "Detection and Accurate Localization of Circular Fiducials Under Highly Challenging Conditions": ["Calvet, Lilian and Gurdjos, Pierre and Griwodz, Carsten and Gasparini, Simone", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Calvet_Detection_and_Accurate_CVPR_2016_paper.pdf"], "Multicamera Calibration From Visible and Mirrored Epipoles": ["Bushnevskiy, Andrey and Sorgi, Lorenzo and Rosenhahn, Bodo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bushnevskiy_Multicamera_Calibration_From_CVPR_2016_paper.pdf"], "Learning to Assign Orientations to Feature Points": ["Moo Yi, Kwang and Verdie, Yannick and Fua, Pascal and Lepetit, Vincent", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yi_Learning_to_Assign_CVPR_2016_paper.pdf"], "Answer-Type Prediction for Visual Question Answering": ["Kafle, Kushal and Kanan, Christopher", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kafle_Answer-Type_Prediction_for_CVPR_2016_paper.pdf"], "DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation": ["Chen, Hao and Qi, Xiaojuan and Yu, Lequan and Heng, Pheng-Ann", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_DCAN_Deep_Contour-Aware_CVPR_2016_paper.pdf"], "Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization": ["Tan, Mingkui and Xiao, Shijie and Gao, Junbin and Xu, Dong and van den Hengel, Anton and Shi, Qinfeng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tan_Proximal_Riemannian_Pursuit_CVPR_2016_paper.pdf"], "Egocentric Future Localization": ["Soo Park, Hyun and Hwang, Jyh-Jing and Niu, Yedong and Shi, Jianbo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Park_Egocentric_Future_Localization_CVPR_2016_paper.pdf"], "Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition": ["Deng, Zhiwei and Vahdat, Arash and Hu, Hexiang and Mori, Greg", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Deng_Structure_Inference_Machines_CVPR_2016_paper.pdf"], "UAV Sensor Fusion With Latent-Dynamic Conditional Random Fields in Coronal Plane Estimation": ["Rahimi, Amir M. and Ruschel, Raphael and Manjunath, B.S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rahimi_UAV_Sensor_Fusion_CVPR_2016_paper.pdf"], "ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks": ["Sun, Chen and Paluri, Manohar and Collobert, Ronan and Nevatia, Ram and Bourdev, Lubomir", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sun_ProNet_Learning_to_CVPR_2016_paper.pdf"], "Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids": ["Chen, Qifeng and Koltun, Vladlen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Full_Flow_Optical_CVPR_2016_paper.pdf"], "Loss Functions for Top-k Error: Analysis and Insights": ["Lapin, Maksim and Hein, Matthias and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lapin_Loss_Functions_for_CVPR_2016_paper.pdf"], "Improving Human Action Recognition by Non-Action Classification": ["Wang, Yang and Hoai, Minh", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Improving_Human_Action_CVPR_2016_paper.pdf"], "Deep Reflectance Maps": ["Rematas, Konstantinos and Ritschel, Tobias and Fritz, Mario and Gavves, Efstratios and Tuytelaars, Tinne", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rematas_Deep_Reflectance_Maps_CVPR_2016_paper.pdf"], "Collaborative Quantization for Cross-Modal Similarity Search": ["Zhang, Ting and Wang, Jingdong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Collaborative_Quantization_for_CVPR_2016_paper.pdf"], "InterActive: Inter-Layer Activeness Propagation": ["Xie, Lingxi and Zheng, Liang and Wang, Jingdong and Yuille, Alan L. and Tian, Qi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xie_InterActive_Inter-Layer_Activeness_CVPR_2016_paper.pdf"], "Deep Interactive Object Selection": ["Xu, Ning and Price, Brian and Cohen, Scott and Yang, Jimei and Huang, Thomas S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Deep_Interactive_Object_CVPR_2016_paper.pdf"], "Joint Unsupervised Learning of Deep Representations and Image Clusters": ["Yang, Jianwei and Parikh, Devi and Batra, Dhruv", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Joint_Unsupervised_Learning_CVPR_2016_paper.pdf"], "Information-Driven Adaptive Structured-Light Scanners": ["Rosman, Guy and Rus, Daniela and Fisher, III, John W.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rosman_Information-Driven_Adaptive_Structured-Light_CVPR_2016_paper.pdf"], "Deep SimNets": ["Cohen, Nadav and Sharir, Or and Shashua, Amnon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cohen_Deep_SimNets_CVPR_2016_paper.pdf"], "Learning to Localize Little Landmarks": ["Singh, Saurabh and Hoiem, Derek and Forsyth, David", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Learning_to_Localize_CVPR_2016_paper.pdf"], "Linear Shape Deformation Models With Local 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"http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Highway_Vehicle_Counting_CVPR_2016_paper.pdf"], "Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection": ["Wu, Yue and Ji, Qiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wu_Constrained_Joint_Cascade_CVPR_2016_paper.pdf"], "Fast Detection of Curved Edges at Low SNR": ["Ofir, Nati and Galun, Meirav and Nadler, Boaz and Basri, Ronen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ofir_Fast_Detection_of_CVPR_2016_paper.pdf"], "Online Multi-Object Tracking via Structural Constraint Event Aggregation": ["Hong Yoon, Ju and Lee, Chang-Ryeol and Yang, Ming-Hsuan and Yoon, Kuk-Jin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "Relaxation-Based Preprocessing Techniques for Markov Random Field Inference": ["Wang, Chen and Zabih, Ramin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Relaxation-Based_Preprocessing_Techniques_CVPR_2016_paper.pdf"], "Discriminative Hierarchical Rank Pooling for Activity Recognition": ["Fernando, Basura and Anderson, Peter and Hutter, Marcus and Gould, Stephen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fernando_Discriminative_Hierarchical_Rank_CVPR_2016_paper.pdf"], "When VLAD Met Hilbert": ["Harandi, Mehrtash and Salzmann, Mathieu and Porikli, Fatih", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Harandi_When_VLAD_Met_CVPR_2016_paper.pdf"], "Deep Decision Network for Multi-Class Image Classification": ["Murthy, Venkatesh N. and Singh, Vivek and Chen, Terrence and Manmatha, R. and Comaniciu, Dorin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Murthy_Deep_Decision_Network_CVPR_2016_paper.pdf"], "Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation": ["Lin, Guosheng and Shen, Chunhua and van den Hengel, Anton and Reid, Ian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lin_Efficient_Piecewise_Training_CVPR_2016_paper.pdf"], "Recognizing Emotions From Abstract Paintings Using Non-Linear Matrix Completion": ["Alameda-Pineda, Xavier and Ricci, Elisa and Yan, Yan and Sebe, Nicu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Alameda-Pineda_Recognizing_Emotions_From_CVPR_2016_paper.pdf"], "A Key Volume Mining Deep Framework for Action Recognition": ["Zhu, Wangjiang and Hu, Jie and Sun, Gang and Cao, Xudong and Qiao, Yu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_A_Key_Volume_CVPR_2016_paper.pdf"], "Actionness Estimation Using Hybrid Fully Convolutional Networks": ["Wang, Limin and Qiao, Yu and Tang, Xiaoou and Van Gool, Luc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Actionness_Estimation_Using_CVPR_2016_paper.pdf"], "Learning Deep Representations of Fine-Grained Visual Descriptions": ["Reed, Scott and Akata, Zeynep and Lee, Honglak and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Reed_Learning_Deep_Representations_CVPR_2016_paper.pdf"], "Siamese Instance Search for Tracking": ["Tao, Ran and Gavves, Efstratios and Smeulders, Arnold W.M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tao_Siamese_Instance_Search_CVPR_2016_paper.pdf"], "Automatic Image Cropping : A Computational Complexity Study": ["Chen, Jiansheng and Bai, Gaocheng and Liang, Shaoheng and Li, Zhengqin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Automatic_Image_Cropping_CVPR_2016_paper.pdf"], "Structured Prediction of Unobserved Voxels From a Single Depth Image": ["Firman, Michael and Mac Aodha, Oisin and Julier, Simon and Brostow, Gabriel J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Firman_Structured_Prediction_of_CVPR_2016_paper.pdf"], "Reconstructing Shapes and Appearances of Thin Film Objects Using RGB Images": ["Kobayashi, Yoshie and Morimoto, Tetsuro and Sato, Imari and Mukaigawa, Yasuhiro and Tomono, Takao and Ikeuchi, Katsushi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kobayashi_Reconstructing_Shapes_and_CVPR_2016_paper.pdf"], "Inferring Forces and Learning Human Utilities From Videos": ["Zhu, Yixin and Jiang, Chenfanfu and Zhao, Yibiao and Terzopoulos, Demetri and Zhu, Song-Chun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Inferring_Forces_and_CVPR_2016_paper.pdf"], "What Players Do With the Ball: A Physically Constrained Interaction Modeling": ["Maksai, Andrii and Wang, Xinchao and Fua, Pascal", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Maksai_What_Players_Do_CVPR_2016_paper.pdf"], "Unsupervised Learning From Narrated Instruction Videos": ["Alayrac, Jean-Baptiste and Bojanowski, Piotr and Agrawal, Nishant and Sivic, Josef and Laptev, Ivan and Lacoste-Julien, Simon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Alayrac_Unsupervised_Learning_From_CVPR_2016_paper.pdf"], "Dense Monocular Depth Estimation in Complex Dynamic Scenes": ["Ranftl, Rene and Vineet, Vibhav and Chen, Qifeng and Koltun, Vladlen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ranftl_Dense_Monocular_Depth_CVPR_2016_paper.pdf"], "Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity": ["Walecki, Robert and Rudovic, Ognjen and Pavlovic, Vladimir and Pantic, Maja", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Walecki_Copula_Ordinal_Regression_CVPR_2016_paper.pdf"], "Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis": ["Zhang, Zheng and Girard, Jeff M. and Wu, Yue and Zhang, Xing and Liu, Peng and Ciftci, Umur and Canavan, Shaun and Reale, Michael and Horowitz, Andy and Yang, Huiyuan and Cohn, Jeffrey F. and Ji, Qiang and Yin, Lijun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Multimodal_Spontaneous_Emotion_CVPR_2016_paper.pdf"], "Identifying Good Training Data for Self-Supervised Free Space Estimation": ["Harakeh, Ali and Asmar, Daniel and Shammas, Elie", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Harakeh_Identifying_Good_Training_CVPR_2016_paper.pdf"], "Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations": ["Sharmanska, Viktoriia and Hernandez-Lobato, Daniel and Miguel Hernandez-Lobato, Jose and Quadrianto, Novi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sharmanska_Ambiguity_Helps_Classification_CVPR_2016_paper.pdf"], "Pairwise Matching Through Max-Weight Bipartite Belief Propagation": ["Zhang, Zhen and Shi, Qinfeng and McAuley, Julian and Wei, Wei and Zhang, Yanning and van den Hengel, Anton", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Pairwise_Matching_Through_CVPR_2016_paper.pdf"], "Multi-View People Tracking via Hierarchical Trajectory Composition": ["Xu, Yuanlu and Liu, Xiaobai and Liu, Yang and Zhu, Song-Chun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Multi-View_People_Tracking_CVPR_2016_paper.pdf"], "Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity": ["Shah, Sohil and Goldstein, Tom and Studer, Christoph", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shah_Estimating_Sparse_Signals_CVPR_2016_paper.pdf"], "Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning": ["Mukuta, Yusuke and Harada, Tatsuya", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mukuta_Kernel_Approximation_via_CVPR_2016_paper.pdf"], "Context Encoders: Feature Learning by Inpainting": ["Pathak, Deepak and Krahenbuhl, Philipp and Donahue, Jeff and Darrell, Trevor and Efros, Alexei A.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pathak_Context_Encoders_Feature_CVPR_2016_paper.pdf"], "Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles": ["Liu, Hongye and Tian, Yonghong and Yang, Yaowei and Pang, Lu and Huang, Tiejun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Relative_Distance_CVPR_2016_paper.pdf"], "Learning Attributes Equals Multi-Source Domain Generalization": ["Gan, Chuang and Yang, Tianbao and Gong, Boqing", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gan_Learning_Attributes_Equals_CVPR_2016_paper.pdf"], "Memory Efficient Max Flow for Multi-Label Submodular MRFs": ["Ajanthan, Thalaiyasingam and Hartley, Richard and Salzmann, Mathieu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ajanthan_Memory_Efficient_Max_CVPR_2016_paper.pdf"], "Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation": ["Shin, Hoo-Chang and Roberts, Kirk and Lu, Le and Demner-Fushman, Dina and Yao, Jianhua and Summers, Ronald M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shin_Learning_to_Read_CVPR_2016_paper.pdf"], "Accelerated Generative Models for 3D Point Cloud Data": ["Eckart, Benjamin and Kim, Kihwan and Troccoli, Alejandro and Kelly, Alonzo and Kautz, Jan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Eckart_Accelerated_Generative_Models_CVPR_2016_paper.pdf"], "CRAFT Objects From Images": ["Yang, Bin and Yan, Junjie and Lei, Zhen and Li, Stan Z.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_CRAFT_Objects_From_CVPR_2016_paper.pdf"], "Dense Human Body Correspondences Using Convolutional Networks": ["Wei, Lingyu and Huang, Qixing and Ceylan, Duygu and Vouga, Etienne and Li, Hao", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wei_Dense_Human_Body_CVPR_2016_paper.pdf"], "Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification": ["Li, Chunyuan and Stevens, Andrew and Chen, Changyou and Pu, Yunchen and Gan, Zhe and Carin, Lawrence", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Learning_Weight_Uncertainty_CVPR_2016_paper.pdf"], "Optical Flow With Semantic Segmentation and Localized Layers": ["Sevilla-Lara, Laura and Sun, Deqing and Jampani, Varun and Black, Michael J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sevilla-Lara_Optical_Flow_With_CVPR_2016_paper.pdf"], "Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold": ["Zhang, Xikang and Wang, Yin and Gou, Mengran and Sznaier, Mario and Camps, Octavia", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Efficient_Temporal_Sequence_CVPR_2016_paper.pdf"], "BORDER: An Oriented Rectangles Approach to Texture-Less Object Recognition": ["Chan, Jacob and Addison Lee, Jimmy and Kemao, Qian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chan_BORDER_An_Oriented_CVPR_2016_paper.pdf"], "Weakly Supervised Object Localization With Progressive Domain Adaptation": ["Li, Dong and Huang, Jia-Bin and Li, Yali and Wang, Shengjin and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Weakly_Supervised_Object_CVPR_2016_paper.pdf"], "Sparse to Dense 3D Reconstruction From Rolling Shutter Images": ["Saurer, Olivier and Pollefeys, Marc and Hee Lee, Gim", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Saurer_Sparse_to_Dense_CVPR_2016_paper.pdf"], "An Egocentric Look at Video Photographer Identity": ["Hoshen, Yedid and Peleg, Shmuel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hoshen_An_Egocentric_Look_CVPR_2016_paper.pdf"], "Automatic Fence Segmentation in Videos of Dynamic Scenes": ["Yi, Renjiao and Wang, Jue and Tan, Ping", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yi_Automatic_Fence_Segmentation_CVPR_2016_paper.pdf"], "Robust Optical Flow Estimation of Double-Layer Images Under Transparency or Reflection": ["Yang, Jiaolong and Li, Hongdong and Dai, Yuchao and Tan, Robby T.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Robust_Optical_Flow_CVPR_2016_paper.pdf"], "Facial Expression Intensity Estimation Using Ordinal Information": ["Zhao, Rui and Gan, Quan and Wang, Shangfei and Ji, Qiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhao_Facial_Expression_Intensity_CVPR_2016_paper.pdf"], "Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment": ["Trigeorgis, George and Snape, Patrick and Nicolaou, Mihalis A. and Antonakos, Epameinondas and Zafeiriou, Stefanos", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Mnemonic_Descent_Method_CVPR_2016_paper.pdf"], "Slicing Convolutional Neural Network for Crowd Video Understanding": ["Shao, Jing and Loy, Chen-Change and Kang, Kai and Wang, Xiaogang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shao_Slicing_Convolutional_Neural_CVPR_2016_paper.pdf"], "Natural Language Object Retrieval": ["Hu, Ronghang and Xu, Huazhe and Rohrbach, Marcus and Feng, Jiashi and Saenko, Kate and Darrell, Trevor", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Natural_Language_Object_CVPR_2016_paper.pdf"], "From Dusk Till Dawn: Modeling in the Dark": ["Radenovic, Filip and Schonberger, Johannes L. and Ji, Dinghuang and Frahm, Jan-Michael and Chum, Ondrej and Matas, Jiri", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Radenovic_From_Dusk_Till_CVPR_2016_paper.pdf"], "3D Shape Attributes": ["Fouhey, David F. and Gupta, Abhinav and Zisserman, Andrew", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fouhey_3D_Shape_Attributes_CVPR_2016_paper.pdf"], "Temporal Epipolar Regions": ["Dar, Mor and Moses, Yael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dar_Temporal_Epipolar_Regions_CVPR_2016_paper.pdf"], "Improved Hamming Distance Search Using Variable Length Substrings": ["Ong, Eng-Jon and Bober, Miroslaw", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ong_Improved_Hamming_Distance_CVPR_2016_paper.pdf"], "Newtonian Scene Understanding: Unfolding the Dynamics of Objects in Static Images": ["Mottaghi, Roozbeh and Bagherinezhad, Hessam and Rastegari, Mohammad and Farhadi, Ali", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mottaghi_Newtonian_Scene_Understanding_CVPR_2016_paper.pdf"], "Attention to Scale: Scale-Aware Semantic Image Segmentation": ["Chen, Liang-Chieh and Yang, Yi and Wang, Jiang and Xu, Wei and Yuille, Alan L.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Attention_to_Scale_CVPR_2016_paper.pdf"], "Comparative Deep Learning of Hybrid Representations for Image Recommendations": ["Lei, Chenyi and Liu, Dong and Li, Weiping and Zha, Zheng-Jun and Li, Houqiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lei_Comparative_Deep_Learning_CVPR_2016_paper.pdf"], "Inverting Visual Representations With Convolutional Networks": ["Dosovitskiy, Alexey and Brox, Thomas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dosovitskiy_Inverting_Visual_Representations_CVPR_2016_paper.pdf"], "HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection": ["Kong, Tao and Yao, Anbang and Chen, Yurong and Sun, Fuchun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kong_HyperNet_Towards_Accurate_CVPR_2016_paper.pdf"], "Weakly Supervised Object Boundaries": ["Khoreva, Anna and Benenson, Rodrigo and Omran, Mohamed and Hein, Matthias and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Khoreva_Weakly_Supervised_Object_CVPR_2016_paper.pdf"], "Object Contour Detection With a Fully Convolutional Encoder-Decoder Network": ["Yang, Jimei and Price, Brian and Cohen, Scott and Lee, Honglak and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Object_Contour_Detection_CVPR_2016_paper.pdf"], "One-Shot Learning of Scene Locations via Feature Trajectory Transfer": ["Kwitt, Roland and Hegenbart, Sebastian and Niethammer, Marc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kwitt_One-Shot_Learning_of_CVPR_2016_paper.pdf"], "Sparseness Meets Deepness: 3D Human Pose Estimation From Monocular Video": ["Zhou, Xiaowei and Zhu, Menglong and Leonardos, Spyridon and Derpanis, Konstantinos G. and Daniilidis, Kostas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Sparseness_Meets_Deepness_CVPR_2016_paper.pdf"], "Pairwise Linear Regression Classification for Image Set Retrieval": ["Feng, Qingxiang and Zhou, Yicong and Lan, Rushi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Feng_Pairwise_Linear_Regression_CVPR_2016_paper.pdf"], "3D Action Recognition From Novel Viewpoints": ["Rahmani, Hossein and Mian, Ajmal", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rahmani_3D_Action_Recognition_CVPR_2016_paper.pdf"], "DenseCap: Fully Convolutional Localization Networks for Dense Captioning": ["Johnson, Justin and Karpathy, Andrej and Fei-Fei, Li", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Johnson_DenseCap_Fully_Convolutional_CVPR_2016_paper.pdf"], "On Benefits of Selection Diversity via Bilevel Exclusive Sparsity": ["Yang, Haichuan and Huang, Yijun and Tran, Lam and Liu, Ji and Huang, Shuai", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_On_Benefits_of_CVPR_2016_paper.pdf"], "Occlusion Boundary Detection via Deep Exploration of Context": ["Fu, Huan and Wang, Chaohui and Tao, Dacheng and Black, Michael J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fu_Occlusion_Boundary_Detection_CVPR_2016_paper.pdf"], "Action Recognition in Video Using Sparse Coding and Relative Features": ["Alfaro, Anali and Mery, Domingo and Soto, Alvaro", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Alfaro_Action_Recognition_in_CVPR_2016_paper.pdf"], "A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion": ["Fan, Shaojing and Ng, Tian-Tsong and Koenig, Bryan L. and Jiang, Ming and Zhao, Qi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fan_A_Paradigm_for_CVPR_2016_paper.pdf"], "ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements": ["Kulkarni, Kuldeep and Lohit, Suhas and Turaga, Pavan and Kerviche, Ronan and Ashok, Amit", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kulkarni_ReconNet_Non-Iterative_Reconstruction_CVPR_2016_paper.pdf"], "Structural Correlation Filter for Robust Visual Tracking": ["Liu, Si and Zhang, Tianzhu and Cao, Xiaochun and Xu, Changsheng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Structural_Correlation_Filter_CVPR_2016_paper.pdf"], "Random Features for Sparse Signal Classification": ["Rick Chang, Jen-Hao and Sankaranarayanan, Aswin C. and Vijaya Kumar, B. V. K.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_Random_Features_for_CVPR_2016_paper.pdf"], "Motion From Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories": ["Vongkulbhisal, Jayakorn and Cabral, Ricardo and De la Torre, Fernando and Costeira, Joao P.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vongkulbhisal_Motion_From_Structure_CVPR_2016_paper.pdf"], "Learning With Side Information Through Modality Hallucination": ["Hoffman, Judy and Gupta, Saurabh and Darrell, Trevor", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hoffman_Learning_With_Side_CVPR_2016_paper.pdf"], "Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals": ["Xiao, Fanyi and Jae Lee, Yong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xiao_Track_and_Segment_CVPR_2016_paper.pdf"], "Training Region-Based Object Detectors With Online Hard Example Mining": ["Shrivastava, Abhinav and Gupta, Abhinav and Girshick, Ross", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shrivastava_Training_Region-Based_Object_CVPR_2016_paper.pdf"], "Deep Region and Multi-Label Learning for Facial Action Unit Detection": ["Zhao, Kaili and Chu, Wen-Sheng and Zhang, Honggang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhao_Deep_Region_and_CVPR_2016_paper.pdf"], "Object Co-Segmentation via Graph Optimized-Flexible Manifold Ranking": ["Quan, Rong and Han, Junwei and Zhang, Dingwen and Nie, Feiping", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Quan_Object_Co-Segmentation_via_CVPR_2016_paper.pdf"], "Heterogeneous Light Fields": ["Diebold, Maximilian and Jahne, Bernd and Gatto, Alexander", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Diebold_Heterogeneous_Light_Fields_CVPR_2016_paper.pdf"], "Regularity-Driven Facade Matching Between Aerial and Street Views": ["Wolff, Mark and Collins, Robert T. and Liu, Yanxi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wolff_Regularity-Driven_Facade_Matching_CVPR_2016_paper.pdf"], "Fine-Grained Image Classification by Exploring Bipartite-Graph Labels": ["Zhou, Feng and Lin, Yuanqing", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Fine-Grained_Image_Classification_CVPR_2016_paper.pdf"], "Monocular 3D Object Detection for Autonomous Driving": ["Chen, Xiaozhi and Kundu, Kaustav and Zhang, Ziyu and Ma, Huimin and Fidler, Sanja and Urtasun, Raquel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Monocular_3D_Object_CVPR_2016_paper.pdf"], "HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images": ["Mattyus, Gellert and Wang, Shenlong and Fidler, Sanja and Urtasun, Raquel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mattyus_HD_Maps_Fine-Grained_CVPR_2016_paper.pdf"], "Recognizing Car Fluents From Video": ["Li, Bo and Wu, Tianfu and Xiong, Caiming and Zhu, Song-Chun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Recognizing_Car_Fluents_CVPR_2016_paper.pdf"], "Efficient 3D Room Shape Recovery From a Single Panorama": ["Yang, Hao and Zhang, Hui", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Efficient_3D_Room_CVPR_2016_paper.pdf"], "Robust Multi-Body Feature Tracker: A Segmentation-Free Approach": ["Ji, Pan and Li, Hongdong and Salzmann, Mathieu and Zhong, Yiran", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ji_Robust_Multi-Body_Feature_CVPR_2016_paper.pdf"], "Real-Time Depth Refinement for Specular Objects": ["Or-El, Roy and Hershkovitz, Rom and Wetzler, Aaron and Rosman, Guy and Bruckstein, Alfred M. and Kimmel, Ron", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Or-El_Real-Time_Depth_Refinement_CVPR_2016_paper.pdf"], "A Dual-Source Approach for 3D Pose Estimation From a Single Image": ["Yasin, Hashim and Iqbal, Umar and Kruger, Bjorn and Weber, Andreas and Gall, Juergen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yasin_A_Dual-Source_Approach_CVPR_2016_paper.pdf"], "Spatially Binned ROC: A Comprehensive Saliency Metric": ["Wloka, Calden and Tsotsos, John", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wloka_Spatially_Binned_ROC_CVPR_2016_paper.pdf"], "Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition": ["Koniusz, Piotr and Cherian, Anoop", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Koniusz_Sparse_Coding_for_CVPR_2016_paper.pdf"], "From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes": ["Rengarajan, Vijay and Rajagopalan, Ambasamudram N. and Aravind, Rangarajan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rengarajan_From_Bows_to_CVPR_2016_paper.pdf"], "Convolutional Pose Machines": ["Wei, Shih-En and Ramakrishna, Varun and Kanade, Takeo and Sheikh, Yaser", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wei_Convolutional_Pose_Machines_CVPR_2016_paper.pdf"], "Recurrent Convolutional Network for Video-Based Person Re-Identification": ["McLaughlin, Niall and Martinez del Rincon, Jesus and Miller, Paul", "http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf"], "Online Learning With Bayesian Classification Trees": ["Rota Bulo, Samuel and Kontschieder, Peter", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bulo_Online_Learning_With_CVPR_2016_paper.pdf"], "Kinematic Structure Correspondences via Hypergraph Matching": ["Jin Chang, Hyung and Fischer, Tobias and Petit, Maxime and Zambelli, Martina and Demiris, Yiannis", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_Kinematic_Structure_Correspondences_CVPR_2016_paper.pdf"], "Human Pose Estimation With Iterative Error Feedback": ["Carreira, Joao and Agrawal, Pulkit and Fragkiadaki, Katerina and Malik, Jitendra", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Carreira_Human_Pose_Estimation_CVPR_2016_paper.pdf"], "Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data": ["Wang, Jing and Cheng, Yu and Schmidt Feris, Rogerio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Walk_and_Learn_CVPR_2016_paper.pdf"], "ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching": ["Ouyang, Shuxin and Hospedales, Timothy M. and Song, Yi-Zhe and Li, Xueming", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ouyang_ForgetMeNot_Memory-Aware_Forensic_CVPR_2016_paper.pdf"], "A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo": ["Shi, Boxin and Wu, Zhe and Mo, Zhipeng and Duan, Dinglong and Yeung, Sai-Kit and Tan, Ping", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shi_A_Benchmark_Dataset_CVPR_2016_paper.pdf"], "Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network": ["Molchanov, Pavlo and Yang, Xiaodong and Gupta, Shalini and Kim, Kihwan and Tyree, Stephen and Kautz, Jan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Molchanov_Online_Detection_and_CVPR_2016_paper.pdf"], "Joint Learning of Single-Image and Cross-Image Representations for Person Re-Identification": ["Wang, Faqiang and Zuo, Wangmeng and Lin, Liang and Zhang, David and Zhang, Lei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Joint_Learning_of_CVPR_2016_paper.pdf"], "Embedding Label Structures for Fine-Grained Feature Representation": ["Zhang, Xiaofan and Zhou, Feng and Lin, Yuanqing and Zhang, Shaoting", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Embedding_Label_Structures_CVPR_2016_paper.pdf"], "Visually Indicated Sounds": ["Owens, Andrew and Isola, Phillip and McDermott, Josh and Torralba, Antonio and Adelson, Edward H. and Freeman, William T.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Owens_Visually_Indicated_Sounds_CVPR_2016_paper.pdf"], "Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection": ["Wang, Keze and Lin, Liang and Zuo, Wangmeng and Gu, Shuhang and Zhang, Lei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Dictionary_Pair_Classifier_CVPR_2016_paper.pdf"], "Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs": ["Midorikawa, Keisuke and Yamasaki, Toshihiko and Aizawa, Kiyoharu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Midorikawa_Uncalibrated_Photometric_Stereo_CVPR_2016_paper.pdf"], "How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image": ["Tudor Ionescu, Radu and Alexe, Bogdan and Leordeanu, Marius and Popescu, Marius and Papadopoulos, Dim P. and Ferrari, Vittorio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ionescu_How_Hard_Can_CVPR_2016_paper.pdf"], "Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition": ["Mahasseni, Behrooz and Todorovic, Sinisa", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mahasseni_Regularizing_Long_Short_CVPR_2016_paper.pdf"], "Video Segmentation via Object Flow": ["Tsai, Yi-Hsuan and Yang, Ming-Hsuan and Black, Michael J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tsai_Video_Segmentation_via_CVPR_2016_paper.pdf"], "Convolutional Networks for Shape From Light Field": ["Heber, Stefan and Pock, Thomas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Heber_Convolutional_Networks_for_CVPR_2016_paper.pdf"], "Rolling Shutter Absolute Pose Problem With Known Vertical Direction": ["Albl, Cenek and Kukelova, Zuzana and Pajdla, Tomas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Albl_Rolling_Shutter_Absolute_CVPR_2016_paper.pdf"], "PSyCo: Manifold Span Reduction for Super Resolution": ["Perez-Pellitero, Eduardo and Salvador, Jordi and Ruiz-Hidalgo, Javier and Rosenhahn, Bodo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Perez-Pellitero_PSyCo_Manifold_Span_CVPR_2016_paper.pdf"], "Sketch Me That Shoe": ["Yu, Qian and Liu, Feng and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M. and Loy, Chen-Change", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yu_Sketch_Me_That_CVPR_2016_paper.pdf"], "Fast Zero-Shot Image Tagging": ["Zhang, Yang and Gong, Boqing and Shah, Mubarak", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Fast_Zero-Shot_Image_CVPR_2016_paper.pdf"], "Context-Aware Gaussian Fields for Non-Rigid Point Set Registration": ["Wang, Gang and Wang, Zhicheng and Chen, Yufei and Zhou, Qiangqiang and Zhao, Weidong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Context-Aware_Gaussian_Fields_CVPR_2016_paper.pdf"], "Neural Module Networks": ["Andreas, Jacob and Rohrbach, Marcus and Darrell, Trevor and Klein, Dan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Andreas_Neural_Module_Networks_CVPR_2016_paper.pdf"], "Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs": ["Shen, Wei and Zhao, Kai and Jiang, Yuan and Wang, Yan and Zhang, Zhijiang and Bai, Xiang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shen_Object_Skeleton_Extraction_CVPR_2016_paper.pdf"], "Multivariate Regression on the Grassmannian for Predicting Novel Domains": ["Yang, Yongxin and Hospedales, Timothy M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Multivariate_Regression_on_CVPR_2016_paper.pdf"], "Cross-Stitch Networks for Multi-Task Learning": ["Misra, Ishan and Shrivastava, Abhinav and Gupta, Abhinav and Hebert, Martial", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Misra_Cross-Stitch_Networks_for_CVPR_2016_paper.pdf"], "Feature Space Optimization for Semantic Video Segmentation": ["Kundu, Abhijit and Vineet, Vibhav and Koltun, Vladlen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kundu_Feature_Space_Optimization_CVPR_2016_paper.pdf"], "A Hierarchical Deep Temporal Model for Group Activity Recognition": ["Ibrahim, Mostafa S. and Muralidharan, Srikanth and Deng, Zhiwei and Vahdat, Arash and Mori, Greg", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ibrahim_A_Hierarchical_Deep_CVPR_2016_paper.pdf"], "Estimating Correspondences of Deformable Objects \"In-The-Wild\"": ["Zhou, Yuxiang and Antonakos, Epameinondas and Alabort-i-Medina, Joan and Roussos, Anastasios and Zafeiriou, Stefanos", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Estimating_Correspondences_of_CVPR_2016_paper.pdf"], "Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning": ["Sharmanska, Viktoriia and Quadrianto, Novi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sharmanska_Learning_From_the_CVPR_2016_paper.pdf"], "The Multiverse Loss for Robust Transfer Learning": ["Littwin, Etai and Wolf, Lior", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Littwin_The_Multiverse_Loss_CVPR_2016_paper.pdf"], "Shallow and Deep Convolutional Networks for Saliency Prediction": ["Pan, Junting and Sayrol, Elisa and Giro-i-Nieto, Xavier and McGuinness, Kevin and O'Connor, Noel E.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pan_Shallow_and_Deep_CVPR_2016_paper.pdf"], "Scene Labeling Using Sparse Precision Matrix": ["Souly, Nasim and Shah, Mubarak", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Souly_Scene_Labeling_Using_CVPR_2016_paper.pdf"], "Iterative Instance Segmentation": ["Li, Ke and Hariharan, Bharath and Malik, Jitendra", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Iterative_Instance_Segmentation_CVPR_2016_paper.pdf"], "MovieQA: Understanding Stories in Movies Through Question-Answering": ["Tapaswi, Makarand and Zhu, Yukun and Stiefelhagen, Rainer and Torralba, Antonio and Urtasun, Raquel and Fidler, Sanja", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tapaswi_MovieQA_Understanding_Stories_CVPR_2016_paper.pdf"], "Dynamic Image Networks for Action Recognition": ["Bilen, Hakan and Fernando, Basura and Gavves, Efstratios and Vedaldi, Andrea and Gould, Stephen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bilen_Dynamic_Image_Networks_CVPR_2016_paper.pdf"], "Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces": ["Arandjelovic, Ognjen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Arandjelovic_Learnt_Quasi-Transitive_Similarity_CVPR_2016_paper.pdf"], "Robust Light Field Depth Estimation for Noisy Scene With Occlusion": ["Williem, W. and Kyu Park, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Williem_Robust_Light_Field_CVPR_2016_paper.pdf"], "Hedgehog Shape Priors for Multi-Object Segmentation": ["Isack, Hossam and Veksler, Olga and Sonka, Milan and Boykov, Yuri", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Isack_Hedgehog_Shape_Priors_CVPR_2016_paper.pdf"], "Exploit Bounding Box Annotations for Multi-Label Object Recognition": ["Yang, Hao and Tianyi Zhou, Joey and Zhang, Yu and Gao, Bin-Bin and Wu, Jianxin and Cai, Jianfei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Exploit_Bounding_Box_CVPR_2016_paper.pdf"], "Temporally Coherent 4D Reconstruction of Complex Dynamic Scenes": ["Mustafa, Armin and Kim, Hansung and Guillemaut, Jean-Yves and Hilton, Adrian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mustafa_Temporally_Coherent_4D_CVPR_2016_paper.pdf"], "The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes": ["Ros, German and Sellart, Laura and Materzynska, Joanna and Vazquez, David and Lopez, Antonio M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ros_The_SYNTHIA_Dataset_CVPR_2016_paper.pdf"], "DisturbLabel: Regularizing CNN on the Loss Layer": ["Xie, Lingxi and Wang, Jingdong and Wei, Zhen and Wang, Meng and Tian, Qi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xie_DisturbLabel_Regularizing_CNN_CVPR_2016_paper.pdf"], "Minimizing the Maximal Rank": ["Bylow, Erik and Olsson, Carl and Kahl, Fredrik and Nilsson, Mikael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bylow_Minimizing_the_Maximal_CVPR_2016_paper.pdf"], "TGIF: A New Dataset and Benchmark on Animated GIF Description": ["Li, Yuncheng and Song, Yale and Cao, Liangliang and Tetreault, Joel and Goldberg, Larry and Jaimes, Alejandro and Luo, Jiebo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_TGIF_A_New_CVPR_2016_paper.pdf"], "WarpNet: Weakly Supervised Matching for Single-View Reconstruction": ["Kanazawa, Angjoo and Jacobs, David W. and Chandraker, Manmohan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kanazawa_WarpNet_Weakly_Supervised_CVPR_2016_paper.pdf"], "Adaptive Object Detection Using Adjacency and Zoom Prediction": ["Lu, Yongxi and Javidi, Tara and Lazebnik, Svetlana", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lu_Adaptive_Object_Detection_CVPR_2016_paper.pdf"], "Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification": ["Peng, Peixi and Xiang, Tao and Wang, Yaowei and Pontil, Massimiliano and Gong, Shaogang and Huang, Tiejun and Tian, Yonghong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Peng_Unsupervised_Cross-Dataset_Transfer_CVPR_2016_paper.pdf"], "End-To-End Saliency Mapping via Probability Distribution Prediction": ["Jetley, Saumya and Murray, Naila and Vig, Eleonora", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jetley_End-To-End_Saliency_Mapping_CVPR_2016_paper.pdf"], "SVBRDF-Invariant Shape and Reflectance Estimation From Light-Field Cameras": ["Wang, Ting-Chun and Chandraker, Manmohan and Efros, Alexei A. and Ramamoorthi, Ravi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_SVBRDF-Invariant_Shape_and_CVPR_2016_paper.pdf"], "Ordinal Regression With Multiple Output CNN for Age Estimation": ["Niu, Zhenxing and Zhou, Mo and Wang, Le and Gao, Xinbo and Hua, Gang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf"], "Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification": ["Xiao, Tong and Li, Hongsheng and Ouyang, Wanli and Wang, Xiaogang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xiao_Learning_Deep_Feature_CVPR_2016_paper.pdf"], "Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis": ["Ju, Fujiao and Sun, Yanfeng and Gao, Junbin and Liu, Simeng and Hu, Yongli and Yin, Baocai", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ju_Mixture_of_Bilateral-Projection_CVPR_2016_paper.pdf"], "Compact Bilinear Pooling": ["Gao, Yang and Beijbom, Oscar and Zhang, Ning and Darrell, Trevor", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gao_Compact_Bilinear_Pooling_CVPR_2016_paper.pdf"], "Real-Time Salient Object Detection With a Minimum Spanning Tree": ["Tu, Wei-Chih and He, Shengfeng and Yang, Qingxiong and Chien, Shao-Yi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tu_Real-Time_Salient_Object_CVPR_2016_paper.pdf"], "Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction": ["Noh, Hyeonwoo and Hongsuck Seo, Paul and Han, Bohyung", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Noh_Image_Question_Answering_CVPR_2016_paper.pdf"], "FANNG: Fast Approximate Nearest Neighbour Graphs": ["Harwood, Ben and Drummond, Tom", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Harwood_FANNG_Fast_Approximate_CVPR_2016_paper.pdf"], "Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification": ["Quang Minh, Ha and San Biagio, Marco and Bazzani, Loris and Murino, Vittorio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Minh_Approximate_Log-Hilbert-Schmidt_Distances_CVPR_2016_paper.pdf"], "Deep Canonical Time Warping": ["Trigeorgis, George and Nicolaou, Mihalis A. and Zafeiriou, Stefanos and Schuller, Bjorn W.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trigeorgis_Deep_Canonical_Time_CVPR_2016_paper.pdf"], "NetVLAD: CNN Architecture for Weakly Supervised Place Recognition": ["Arandjelovic, Relja and Gronat, Petr and Torii, Akihiko and Pajdla, Tomas and Sivic, Josef", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Arandjelovic_NetVLAD_CNN_Architecture_CVPR_2016_paper.pdf"], "CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval": ["Bhattarai, Binod and Sharma, Gaurav and Jurie, Frederic", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bhattarai_CP-mtML_Coupled_Projection_CVPR_2016_paper.pdf"], "Conditional Graphical Lasso for Multi-Label Image Classification": ["Li, Qiang and Qiao, Maoying and Bian, Wei and Tao, Dacheng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Conditional_Graphical_Lasso_CVPR_2016_paper.pdf"], "Learning Multi-Domain Convolutional Neural Networks for Visual Tracking": ["Nam, Hyeonseob and Han, Bohyung", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Nam_Learning_Multi-Domain_Convolutional_CVPR_2016_paper.pdf"], "Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs": ["Zhang, Ziyu and Fidler, Sanja and Urtasun, Raquel", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Instance-Level_Segmentation_for_CVPR_2016_paper.pdf"], "Recursive Recurrent Nets With Attention Modeling for OCR in the Wild": ["Lee, Chen-Yu and Osindero, Simon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lee_Recursive_Recurrent_Nets_CVPR_2016_paper.pdf"], "Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP)": ["Hwa Kim, Won and Kim, Hyunwoo J. and Adluru, Nagesh and Singh, Vikas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kim_Latent_Variable_Graphical_CVPR_2016_paper.pdf"], "What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution": ["Wang, Peng and Liu, Lingqiao and Shen, Chunhua and Huang, Zi and van den Hengel, Anton and Tao Shen, Heng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Whats_Wrong_With_CVPR_2016_paper.pdf"], "Hierarchical Gaussian Descriptor for Person Re-Identification": ["Matsukawa, Tetsu and Okabe, Takahiro and Suzuki, Einoshin and Sato, Yoichi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Matsukawa_Hierarchical_Gaussian_Descriptor_CVPR_2016_paper.pdf"], "In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation": ["Kihara, Yuka and Soloviev, Matvey and Chen, Tsuhan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kihara_In_the_Shadows_CVPR_2016_paper.pdf"], "FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters": ["Iandola, Forrest N. and Moskewicz, Matthew W. and Ashraf, Khalid and Keutzer, Kurt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Iandola_FireCaffe_Near-Linear_Acceleration_CVPR_2016_paper.pdf"], "3D Part-Based Sparse Tracker With Automatic Synchronization and Registration": ["Bibi, Adel and Zhang, Tianzhu and Ghanem, Bernard", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bibi_3D_Part-Based_Sparse_CVPR_2016_paper.pdf"], "Blind Image Deconvolution by Automatic Gradient Activation": ["Gong, Dong and Tan, Mingkui and Zhang, Yanning and van den Hengel, Anton and Shi, Qinfeng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gong_Blind_Image_Deconvolution_CVPR_2016_paper.pdf"], "Camera Calibration From Dynamic Silhouettes Using Motion Barcodes": ["Ben-Artzi, Gil and Kasten, Yoni and Peleg, Shmuel and Werman, Michael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ben-Artzi_Camera_Calibration_From_CVPR_2016_paper.pdf"], "Metric Learning as Convex Combinations of Local Models With Generalization Guarantees": ["Zantedeschi, Valentina and Emonet, Remi and Sebban, Marc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zantedeschi_Metric_Learning_as_CVPR_2016_paper.pdf"], "Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos": ["Caba Heilbron, Fabian and Carlos Niebles, Juan and Ghanem, Bernard", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Heilbron_Fast_Temporal_Activity_CVPR_2016_paper.pdf"], "Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization": ["Lu, Canyi and Feng, Jiashi and Chen, Yudong and Liu, Wei and Lin, Zhouchen and Yan, Shuicheng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lu_Tensor_Robust_Principal_CVPR_2016_paper.pdf"], "Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views": ["Massa, Francisco and Russell, Bryan C. and Aubry, Mathieu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Massa_Deep_Exemplar_2D-3D_CVPR_2016_paper.pdf"], "Material Classification Using Raw Time-Of-Flight Measurements": ["Su, Shuochen and Heide, Felix and Swanson, Robin and Klein, Jonathan and Callenberg, Clara and Hullin, Matthias and Heidrich, Wolfgang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Su_Material_Classification_Using_CVPR_2016_paper.pdf"], "Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit": ["You, Chong and Robinson, Daniel and Vidal, Rene", "http://openaccess.thecvf.com/content_cvpr_2016/papers/You_Scalable_Sparse_Subspace_CVPR_2016_paper.pdf"], "Parametric Object Motion From Blur": ["Gast, Jochen and Sellent, Anita and Roth, Stefan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gast_Parametric_Object_Motion_CVPR_2016_paper.pdf"], "Efficiently Creating 3D Training Data for Fine Hand Pose Estimation": ["Oberweger, Markus and Riegler, Gernot and Wohlhart, Paul and Lepetit, Vincent", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Oberweger_Efficiently_Creating_3D_CVPR_2016_paper.pdf"], "Shape Analysis With Hyperbolic Wasserstein Distance": ["Shi, Jie and Zhang, Wen and Wang, Yalin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shi_Shape_Analysis_With_CVPR_2016_paper.pdf"], "Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds": ["Yin, Ming and Guo, Yi and Gao, Junbin and He, Zhaoshui and Xie, Shengli", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yin_Kernel_Sparse_Subspace_CVPR_2016_paper.pdf"], "Rain Streak Removal Using Layer Priors": ["Li, Yu and Tan, Robby T. and Guo, Xiaojie and Lu, Jiangbo and Brown, Michael S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Rain_Streak_Removal_CVPR_2016_paper.pdf"], "Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture": ["Thomas, Diego and Taniguchi, Rin-ichiro", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Thomas_Augmented_Blendshapes_for_CVPR_2016_paper.pdf"], "Efficient Training of Very Deep Neural Networks for Supervised Hashing": ["Zhang, Ziming and Chen, Yuting and Saligrama, Venkatesh", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Efficient_Training_of_CVPR_2016_paper.pdf"], "Efficient Intersection of Three Quadrics and Applications in Computer Vision": ["Kukelova, Zuzana and Heller, Jan and Fitzgibbon, Andrew", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kukelova_Efficient_Intersection_of_CVPR_2016_paper.pdf"], "Recurrent Attentional Networks for Saliency Detection": ["Kuen, Jason and Wang, Zhenhua and Wang, Gang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kuen_Recurrent_Attentional_Networks_CVPR_2016_paper.pdf"], "MSR-VTT: A Large Video Description Dataset for Bridging Video and Language": ["Xu, Jun and Mei, Tao and Yao, Ting and Rui, Yong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_MSR-VTT_A_Large_CVPR_2016_paper.pdf"], "You Only Look Once: Unified, Real-Time Object Detection": ["Redmon, Joseph and Divvala, Santosh and Girshick, Ross and Farhadi, Ali", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Redmon_You_Only_Look_CVPR_2016_paper.pdf"], "Fast Algorithms for Linear and Kernel SVM+": ["Li, Wen and Dai, Dengxin and Tan, Mingkui and Xu, Dong and Van Gool, Luc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Fast_Algorithms_for_CVPR_2016_paper.pdf"], "Fits Like a Glove: Rapid and Reliable Hand Shape Personalization": ["Joseph Tan, David and Cashman, Thomas and Taylor, Jonathan and Fitzgibbon, Andrew and Tarlow, Daniel and Khamis, Sameh and Izadi, Shahram and Shotton, Jamie", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tan_Fits_Like_a_CVPR_2016_paper.pdf"], "The MegaFace Benchmark: 1 Million Faces for Recognition at Scale ": ["Kemelmacher-Shlizerman, Ira and Seitz, Steven M. and Miller, Daniel and Brossard, Evan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kemelmacher-Shlizerman_The_MegaFace_Benchmark_CVPR_2016_paper.pdf"], "Logistic Boosting Regression for Label Distribution Learning": ["Xing, Chao and Geng, Xin and Xue, Hui", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xing_Logistic_Boosting_Regression_CVPR_2016_paper.pdf"], "PatchBatch: A Batch Augmented Loss for Optical Flow": ["Gadot, David and Wolf, Lior", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gadot_PatchBatch_A_Batch_CVPR_2016_paper.pdf"], "Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge From External Sources": ["Wu, Qi and Wang, Peng and Shen, Chunhua and Dick, Anthony and van den Hengel, Anton", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wu_Ask_Me_Anything_CVPR_2016_paper.pdf"], "Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming": ["Cheng, Yongfang and Wang, Yin and Sznaier, Mario and Camps, Octavia", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Subspace_Clustering_With_CVPR_2016_paper.pdf"], "Understanding Real World Indoor Scenes With Synthetic Data": ["Handa, Ankur and Patraucean, Viorica and Badrinarayanan, Vijay and Stent, Simon and Cipolla, Roberto", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Handa_Understanding_Real_World_CVPR_2016_paper.pdf"], "Symmetry reCAPTCHA": ["Funk, Chris and Liu, Yanxi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Funk_Symmetry_reCAPTCHA_CVPR_2016_paper.pdf"], "Predicting the Where and What of Actors and Actions Through Online Action Localization": ["Soomro, Khurram and Idrees, Haroon and Shah, Mubarak", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Soomro_Predicting_the_Where_CVPR_2016_paper.pdf"], "Mining 3D Key-Pose-Motifs for Action Recognition": ["Wang, Chunyu and Wang, Yizhou and Yuille, Alan L.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Mining_3D_Key-Pose-Motifs_CVPR_2016_paper.pdf"], "Joint Unsupervised Deformable Spatio-Temporal Alignment of Sequences": ["Zafeiriou, Lazaros and Antonakos, Epameinondas and Zafeiriou, Stefanos and Pantic, Maja", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zafeiriou_Joint_Unsupervised_Deformable_CVPR_2016_paper.pdf"], "Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting": ["Jourabloo, Amin and Liu, Xiaoming", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Jourabloo_Large-Pose_Face_Alignment_CVPR_2016_paper.pdf"], "Rethinking the Inception Architecture for Computer Vision": ["Szegedy, Christian and Vanhoucke, Vincent and Ioffe, Sergey and Shlens, Jon and Wojna, Zbigniew", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Szegedy_Rethinking_the_Inception_CVPR_2016_paper.pdf"], "Learning Dense Correspondence via 3D-Guided Cycle Consistency": ["Zhou, Tinghui and Krahenbuhl, Philipp and Aubry, Mathieu and Huang, Qixing and Efros, Alexei A.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Learning_Dense_Correspondence_CVPR_2016_paper.pdf"], "Personalizing Human Video Pose Estimation": ["Charles, James and Pfister, Tomas and Magee, Derek and Hogg, David and Zisserman, Andrew", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Charles_Personalizing_Human_Video_CVPR_2016_paper.pdf"], "Semantic Channels for Fast Pedestrian Detection": ["Daniel Costea, Arthur and Nedevschi, Sergiu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Costea_Semantic_Channels_for_CVPR_2016_paper.pdf"], "What If We Do Not Have Multiple Videos of the Same Action? -- Video Action Localization Using Web Images": ["Sultani, Waqas and Shah, Mubarak", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sultani_What_If_We_CVPR_2016_paper.pdf"], "Image Captioning With Semantic Attention": ["You, Quanzeng and Jin, Hailin and Wang, Zhaowen and Fang, Chen and Luo, Jiebo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/You_Image_Captioning_With_CVPR_2016_paper.pdf"], "Self-Adaptive Matrix Completion for Heart Rate Estimation From Face Videos Under Realistic Conditions": ["Tulyakov, Sergey and Alameda-Pineda, Xavier and Ricci, Elisa and Yin, Lijun and Cohn, Jeffrey F. and Sebe, Nicu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Tulyakov_Self-Adaptive_Matrix_Completion_CVPR_2016_paper.pdf"], "Solving Small-Piece Jigsaw Puzzles by Growing Consensus": ["Son, Kilho and Moreno, daniel and Hays, James and Cooper, David B.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Son_Solving_Small-Piece_Jigsaw_CVPR_2016_paper.pdf"], "Learning Deep Features for Discriminative Localization": ["Zhou, Bolei and Khosla, Aditya and Lapedriza, Agata and Oliva, Aude and Torralba, Antonio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhou_Learning_Deep_Features_CVPR_2016_paper.pdf"], "Geospatial Correspondences for Multimodal Registration": ["Marcos, Diego and Hamid, Raffay and Tuia, Devis", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Marcos_Geospatial_Correspondences_for_CVPR_2016_paper.pdf"], "Eye Tracking for Everyone": ["Krafka, Kyle and Khosla, Aditya and Kellnhofer, Petr and Kannan, Harini and Bhandarkar, Suchendra and Matusik, Wojciech and Torralba, Antonio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Krafka_Eye_Tracking_for_CVPR_2016_paper.pdf"], "The Global Patch Collider": ["Wang, Shenlong and Ryan Fanello, Sean and Rhemann, Christoph and Izadi, Shahram and Kohli, Pushmeet", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_The_Global_Patch_CVPR_2016_paper.pdf"], "Video-Story Composition via Plot Analysis": ["Choi, Jinsoo and Oh, Tae-Hyun and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Choi_Video-Story_Composition_via_CVPR_2016_paper.pdf"], "Supervised Quantization for Similarity Search ": ["Wang, Xiaojuan and Zhang, Ting and Qi, Guo-Jun and Tang, Jinhui and Wang, Jingdong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Supervised_Quantization_for_CVPR_2016_paper.pdf"], "Blind Image Deblurring Using Dark Channel Prior": ["Pan, Jinshan and Sun, Deqing and Pfister, Hanspeter and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pan_Blind_Image_Deblurring_CVPR_2016_paper.pdf"], "LocNet: Improving Localization Accuracy for Object Detection": ["Gidaris, Spyros and Komodakis, Nikos", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gidaris_LocNet_Improving_Localization_CVPR_2016_paper.pdf"], "Needle-Match: Reliable Patch Matching Under High Uncertainty": ["Lotan, Or and Irani, Michal", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lotan_Needle-Match_Reliable_Patch_CVPR_2016_paper.pdf"], "Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients": ["Ren, Zhile and Sudderth, Erik B.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ren_Three-Dimensional_Object_Detection_CVPR_2016_paper.pdf"], "Multilinear Hyperplane Hashing": ["Liu, Xianglong and Fan, Xinjie and Deng, Cheng and Li, Zhujin and Su, Hao and Tao, Dacheng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Multilinear_Hyperplane_Hashing_CVPR_2016_paper.pdf"], "Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines": ["Nhan Duong, Chi and Luu, Khoa and Gia Quach, Kha and Bui, Tien D.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Duong_Longitudinal_Face_Modeling_CVPR_2016_paper.pdf"], "End-To-End Learning of Action Detection From Frame Glimpses in Videos": ["Yeung, Serena and Russakovsky, Olga and Mori, Greg and Fei-Fei, Li", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yeung_End-To-End_Learning_of_CVPR_2016_paper.pdf"], "Quantized Convolutional Neural Networks for Mobile Devices": ["Wu, Jiaxiang and Leng, Cong and Wang, Yuhang and Hu, Qinghao and Cheng, Jian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wu_Quantized_Convolutional_Neural_CVPR_2016_paper.pdf"], "Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification": ["Hou, Le and Samaras, Dimitris and Kurc, Tahsin M. and Gao, Yi and Davis, James E. and Saltz, Joel H.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hou_Patch-Based_Convolutional_Neural_CVPR_2016_paper.pdf"], "Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras": ["Wug Oh, Seoung and Brown, Michael S. and Pollefeys, Marc and Joo Kim, Seon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Oh_Do_It_Yourself_CVPR_2016_paper.pdf"], "Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow": ["Hu, Yinlin and Song, Rui and Li, Yunsong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Efficient_Coarse-To-Fine_PatchMatch_CVPR_2016_paper.pdf"], "Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection": ["Kumar Singh, Krishna and Xiao, Fanyi and Jae Lee, Yong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_Track_and_Transfer_CVPR_2016_paper.pdf"], "Information Bottleneck Learning Using Privileged Information for Visual Recognition": ["Motiian, Saeid and Piccirilli, Marco and Adjeroh, Donald A. and Doretto, Gianfranco", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Motiian_Information_Bottleneck_Learning_CVPR_2016_paper.pdf"], "Jointly Modeling Embedding and Translation to Bridge Video and Language": ["Pan, Yingwei and Mei, Tao and Yao, Ting and Li, Houqiang and Rui, Yong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pan_Jointly_Modeling_Embedding_CVPR_2016_paper.pdf"], "The Cityscapes Dataset for Semantic Urban Scene Understanding": ["Cordts, Marius and Omran, Mohamed and Ramos, Sebastian and Rehfeld, Timo and Enzweiler, Markus and Benenson, Rodrigo and Franke, Uwe and Roth, Stefan and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cordts_The_Cityscapes_Dataset_CVPR_2016_paper.pdf"], "Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion": ["Wang, Jialei and Olsen, Peder A. and Conn, Andrew R. and Lozano, Aurelie C.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Removing_Clouds_and_CVPR_2016_paper.pdf"], "First Person Action Recognition Using Deep Learned Descriptors": ["Singh, Suriya and Arora, Chetan and Jawahar, C. V.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Singh_First_Person_Action_CVPR_2016_paper.pdf"], "Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking": ["Danelljan, Martin and Hager, Gustav and Shahbaz Khan, Fahad and Felsberg, Michael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Danelljan_Adaptive_Decontamination_of_CVPR_2016_paper.pdf"], "Reinforcement Learning for Visual Object Detection": ["Mathe, Stefan and Pirinen, Aleksis and Sminchisescu, Cristian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mathe_Reinforcement_Learning_for_CVPR_2016_paper.pdf"], "Blockout: Dynamic Model Selection for Hierarchical Deep Networks": ["Murdock, Calvin and Li, Zhen and Zhou, Howard and Duerig, Tom", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Murdock_Blockout_Dynamic_Model_CVPR_2016_paper.pdf"], "Solving Temporal Puzzles": ["Dicle, Caglayan and Yilmaz, Burak and Camps, Octavia and Sznaier, Mario", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dicle_Solving_Temporal_Puzzles_CVPR_2016_paper.pdf"], "Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search": ["Heo, Jae-Pil and Lin, Zhe and Shen, Xiaohui and Brandt, Jonathan and Yoon, Sung-eui", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Heo_Shortlist_Selection_With_CVPR_2016_paper.pdf"], "GIFT: A Real-Time and Scalable 3D Shape Search Engine": ["Bai, Song and Bai, Xiang and Zhou, Zhichao and Zhang, Zhaoxiang and Jan Latecki, Longin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bai_GIFT_A_Real-Time_CVPR_2016_paper.pdf"], "A Probabilistic Collaborative Representation Based Approach for Pattern Classification": ["Cai, Sijia and Zhang, Lei and Zuo, Wangmeng and Feng, Xiangchu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cai_A_Probabilistic_Collaborative_CVPR_2016_paper.pdf"], "Efficient Point Process Inference for Large-Scale Object Detection": ["Pham, Trung T. and Hamid Rezatofighi, Seyed and Reid, Ian and Chin, Tat-Jun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pham_Efficient_Point_Process_CVPR_2016_paper.pdf"], "Local Background Enclosure for RGB-D Salient Object Detection": ["Feng, David and Barnes, Nick and You, Shaodi and McCarthy, Chris", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Feng_Local_Background_Enclosure_CVPR_2016_paper.pdf"], "Where to Look: Focus Regions for Visual Question Answering": ["Shih, Kevin J. and Singh, Saurabh and Hoiem, Derek", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Shih_Where_to_Look_CVPR_2016_paper.pdf"], "Deep Supervised Hashing for Fast Image Retrieval": ["Liu, Haomiao and Wang, Ruiping and Shan, Shiguang and Chen, Xilin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Deep_Supervised_Hashing_CVPR_2016_paper.pdf"], "Optimal Relative Pose With Unknown Correspondences": ["Fredriksson, Johan and Larsson, Viktor and Olsson, Carl and Kahl, Fredrik", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fredriksson_Optimal_Relative_Pose_CVPR_2016_paper.pdf"], "Instance-Level Video Segmentation From Object Tracks": ["Seguin, Guillaume and Bojanowski, Piotr and Lajugie, Remi and Laptev, Ivan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Seguin_Instance-Level_Video_Segmentation_CVPR_2016_paper.pdf"], "Generation and Comprehension of Unambiguous Object Descriptions": ["Mao, Junhua and Huang, Jonathan and Toshev, Alexander and Camburu, Oana and Yuille, Alan L. and Murphy, Kevin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Mao_Generation_and_Comprehension_CVPR_2016_paper.pdf"], "Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks": ["Bell, Sean and Lawrence Zitnick, C. and Bala, Kavita and Girshick, Ross", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bell_Inside-Outside_Net_Detecting_CVPR_2016_paper.pdf"], "Soft-Segmentation Guided Object Motion Deblurring": ["Pan, Jinshan and Hu, Zhe and Su, Zhixun and Lee, Hsin-Ying and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pan_Soft-Segmentation_Guided_Object_CVPR_2016_paper.pdf"], "Camera Calibration From Periodic Motion of a Pedestrian": ["Huang, Shiyao and Ying, Xianghua and Rong, Jiangpeng and Shang, Zeyu and Zha, Hongbin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Camera_Calibration_From_CVPR_2016_paper.pdf"], "Multiple Model Fitting as a Set Coverage Problem": ["Magri, Luca and Fusiello, Andrea", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Magri_Multiple_Model_Fitting_CVPR_2016_paper.pdf"], "A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond": ["Bruce, Neil D. B. and Catton, Christopher and Janjic, Sasa", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bruce_A_Deeper_Look_CVPR_2016_paper.pdf"], "Convolutional Two-Stream Network Fusion for Video Action Recognition": ["Feichtenhofer, Christoph and Pinz, Axel and Zisserman, Andrew", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Feichtenhofer_Convolutional_Two-Stream_Network_CVPR_2016_paper.pdf"], "A Field Model for Repairing 3D Shapes": ["Thanh Nguyen, Duc and Hua, Binh-Son and Tran, Khoi and Pham, Quang-Hieu and Yeung, Sai-Kit", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Nguyen_A_Field_Model_CVPR_2016_paper.pdf"], "Image Deblurring Using Smartphone Inertial Sensors": ["Hu, Zhe and Yuan, Lu and Lin, Stephen and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Image_Deblurring_Using_CVPR_2016_paper.pdf"], "Structured Regression Gradient Boosting": ["Diego, Ferran and Hamprecht, Fred A.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Diego_Structured_Regression_Gradient_CVPR_2016_paper.pdf"], "A Probabilistic Framework for Color-Based Point Set Registration": ["Danelljan, Martin and Meneghetti, Giulia and Shahbaz Khan, Fahad and Felsberg, Michael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Danelljan_A_Probabilistic_Framework_CVPR_2016_paper.pdf"], "Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data": ["Anne Hendricks, Lisa and Venugopalan, Subhashini and Rohrbach, Marcus and Mooney, Raymond and Saenko, Kate and Darrell, Trevor", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hendricks_Deep_Compositional_Captioning_CVPR_2016_paper.pdf"], "Part-Stacked CNN for Fine-Grained Visual Categorization": ["Huang, Shaoli and Xu, Zhe and Tao, Dacheng and Zhang, Ya", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Part-Stacked_CNN_for_CVPR_2016_paper.pdf"], "Video2GIF: Automatic Generation of Animated GIFs From Video": ["Gygli, Michael and Song, Yale and Cao, Liangliang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gygli_Video2GIF_Automatic_Generation_CVPR_2016_paper.pdf"], "LOMo: Latent Ordinal Model for Facial Analysis in Videos": ["Sikka, Karan and Sharma, Gaurav and Bartlett, Marian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sikka_LOMo_Latent_Ordinal_CVPR_2016_paper.pdf"], "Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled": ["Koller, Oscar and Ney, Hermann and Bowden, Richard", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Koller_Deep_Hand_How_CVPR_2016_paper.pdf"], "Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image": ["Brachmann, Eric and Michel, Frank and Krull, Alexander and Ying Yang, Michael and Gumhold, Stefan and Rother, carsten", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Brachmann_Uncertainty-Driven_6D_Pose_CVPR_2016_paper.pdf"], "End-To-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation": ["Yang, Wei and Ouyang, Wanli and Li, Hongsheng and Wang, Xiaogang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_End-To-End_Learning_of_CVPR_2016_paper.pdf"], "Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition": ["Zhu, Hongyuan and Weibel, Jean-Baptiste and Lu, Shijian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Discriminative_Multi-Modal_Feature_CVPR_2016_paper.pdf"], "Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning": ["Al-Halah, Ziad and Tapaswi, Makarand and Stiefelhagen, Rainer", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Al-Halah_Recovering_the_Missing_CVPR_2016_paper.pdf"], "Discriminatively Embedded K-Means for Multi-View Clustering": ["Xu, Jinglin and Han, Junwei and Nie, Feiping", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Discriminatively_Embedded_K-Means_CVPR_2016_paper.pdf"], "Predicting Motivations of Actions by Leveraging Text": ["Vondrick, Carl and Oktay, Deniz and Pirsiavash, Hamed and Torralba, Antonio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Vondrick_Predicting_Motivations_of_CVPR_2016_paper.pdf"], "Progressive Prioritized Multi-View Stereo": ["Locher, Alex and Perdoch, Michal and Van Gool, Luc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Locher_Progressive_Prioritized_Multi-View_CVPR_2016_paper.pdf"], "DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns": ["Diba, Ali and Mohammad Pazandeh, Ali and Pirsiavash, Hamed and Van Gool, Luc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Diba_DeepCAMP_Deep_Convolutional_CVPR_2016_paper.pdf"], "A Robust Multilinear Model Learning Framework for 3D Faces": ["Bolkart, Timo and Wuhrer, Stefanie", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bolkart_A_Robust_Multilinear_CVPR_2016_paper.pdf"], "Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals": ["Zhu, Gao and Porikli, Fatih and Li, Hongdong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Beyond_Local_Search_CVPR_2016_paper.pdf"], "You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images": ["Gan, Chuang and Yao, Ting and Yang, Kuiyuan and Yang, Yi and Mei, Tao", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gan_You_Lead_We_CVPR_2016_paper.pdf"], "ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering": ["Zhang, Zhang and Huang, Kaiqi and Tan, Tieniu and Yang, Peipei and Li, Jun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_ReD-SFA_Relation_Discovery_CVPR_2016_paper.pdf"], "Pull the Plug? Predicting If Computers or Humans Should Segment Images": ["Gurari, Danna and Jain, Suyog and Betke, Margrit and Grauman, Kristen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gurari_Pull_the_Plug_CVPR_2016_paper.pdf"], "Globally Optimal Manhattan Frame Estimation in Real-Time": ["Joo, Kyungdon and Oh, Tae-Hyun and Kim, Junsik and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Joo_Globally_Optimal_Manhattan_CVPR_2016_paper.pdf"], "Gradual DropIn of Layers to Train Very Deep Neural Networks": ["Smith, Leslie N. and Hand, Emily M. and Doster, Timothy", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Smith_Gradual_DropIn_of_CVPR_2016_paper.pdf"], "Adaptive 3D Face Reconstruction From Unconstrained Photo Collections": ["Roth, Joseph and Tong, Yiying and Liu, Xiaoming", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Roth_Adaptive_3D_Face_CVPR_2016_paper.pdf"], "Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction": ["Galliani, Silvano and Schindler, Konrad", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Galliani_Just_Look_at_CVPR_2016_paper.pdf"], "Deep Saliency With Encoded Low Level Distance Map and High Level Features": ["Lee, Gayoung and Tai, Yu-Wing and Kim, Junmo", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lee_Deep_Saliency_With_CVPR_2016_paper.pdf"], "Similarity Learning With Spatial Constraints for Person Re-Identification": ["Chen, Dapeng and Yuan, Zejian and Chen, Badong and Zheng, Nanning", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Similarity_Learning_With_CVPR_2016_paper.pdf"], "Actor-Action Semantic Segmentation With Grouping Process Models": ["Xu, Chenliang and Corso, Jason J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xu_Actor-Action_Semantic_Segmentation_CVPR_2016_paper.pdf"], "Structure-From-Motion Revisited": ["Schonberger, Johannes L. and Frahm, Jan-Michael", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Schonberger_Structure-From-Motion_Revisited_CVPR_2016_paper.pdf"], "Efficient Large-Scale Similarity Search Using Matrix Factorization": ["Iscen, Ahmet and Rabbat, Michael and Furon, Teddy", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Iscen_Efficient_Large-Scale_Similarity_CVPR_2016_paper.pdf"], "The Next Best Underwater View": ["Sheinin, Mark and Schechner, Yoav Y.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Sheinin_The_Next_Best_CVPR_2016_paper.pdf"], "Consistency of Silhouettes and Their Duals": ["Trager, Matthew and Hebert, Martial and Ponce, Jean", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Trager_Consistency_of_Silhouettes_CVPR_2016_paper.pdf"], "How Far Are We From Solving Pedestrian Detection?": ["Zhang, Shanshan and Benenson, Rodrigo and Omran, Mohamed and Hosang, Jan and Schiele, Bernt", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_How_Far_Are_CVPR_2016_paper.pdf"], "Multi-View Deep Network for Cross-View Classification": ["Kan, Meina and Shan, Shiguang and Chen, Xilin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kan_Multi-View_Deep_Network_CVPR_2016_paper.pdf"], "Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight": ["Kadambi, Achuta and Schiel, Jamie and Raskar, Ramesh", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kadambi_Macroscopic_Interferometry_Rethinking_CVPR_2016_paper.pdf"], "SemiContour: A Semi-Supervised Learning Approach for Contour Detection": ["Zhang, Zizhao and Xing, Fuyong and Shi, Xiaoshuang and Yang, Lin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_SemiContour_A_Semi-Supervised_CVPR_2016_paper.pdf"], "Two Illuminant Estimation and User Correction Preference": ["Cheng, Dongliang and Abdelhamed, Abdelrahman and Price, Brian and Cohen, Scott and Brown, Michael S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_Two_Illuminant_Estimation_CVPR_2016_paper.pdf"], "CNN-N-Gram for Handwriting Word Recognition": ["Poznanski, Arik and Wolf, Lior", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Poznanski_CNN-N-Gram_for_Handwriting_CVPR_2016_paper.pdf"], "Sparse Coding and Dictionary Learning With Linear Dynamical Systems": ["Huang, Wenbing and Sun, Fuchun and Cao, Lele and Zhao, Deli and Liu, Huaping and Harandi, Mehrtash", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Sparse_Coding_and_CVPR_2016_paper.pdf"], "A Text Detection System for Natural Scenes With Convolutional Feature Learning and Cascaded Classification": ["Zhu, Siyu and Zanibbi, Richard", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_A_Text_Detection_CVPR_2016_paper.pdf"], "Summary Transfer: Exemplar-Based Subset Selection for Video Summarization": ["Zhang, Ke and Chao, Wei-Lun and Sha, Fei and Grauman, Kristen", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Summary_Transfer_Exemplar-Based_CVPR_2016_paper.pdf"], "Visualizing and Understanding Deep Texture Representations": ["Lin, Tsung-Yu and Maji, Subhransu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lin_Visualizing_and_Understanding_CVPR_2016_paper.pdf"], "A Comparative Study for Single Image Blind Deblurring": ["Lai, Wei-Sheng and Huang, Jia-Bin and Hu, Zhe and Ahuja, Narendra and Yang, Ming-Hsuan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lai_A_Comparative_Study_CVPR_2016_paper.pdf"], "Volumetric 3D Tracking by Detection": ["Huang, Chun-Hao and Allain, Benjamin and Franco, Jean-Sebastien and Navab, Nassir and Ilic, Slobodan and Boyer, Edmond", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Huang_Volumetric_3D_Tracking_CVPR_2016_paper.pdf"], "Deep Contrast Learning for Salient Object Detection": ["Li, Guanbin and Yu, Yizhou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Li_Deep_Contrast_Learning_CVPR_2016_paper.pdf"], "Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations": ["Wei, Xian and Shen, Hao and Kleinsteuber, Martin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wei_Trace_Quotient_Meets_CVPR_2016_paper.pdf"], "Volumetric and Multi-View CNNs for Object Classification on 3D Data": ["Qi, Charles R. and Su, Hao and Niessner, Matthias and Dai, Angela and Yan, Mengyuan and Guibas, Leonidas J.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Qi_Volumetric_and_Multi-View_CVPR_2016_paper.pdf"], "Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels": ["Liu, Yong-Jin and Yu, Cheng-Chi and Yu, Min-Jing and He, Ying", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Manifold_SLIC_A_CVPR_2016_paper.pdf"], "Deep Residual Learning for Image Recognition": ["He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf"], "Face Alignment Across Large Poses: A 3D Solution": ["Zhu, Xiangyu and Lei, Zhen and Liu, Xiaoming and Shi, Hailin and Li, Stan Z.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Face_Alignment_Across_CVPR_2016_paper.pdf"], "Contour Detection in Unstructured 3D Point Clouds": ["Hackel, Timo and Wegner, Jan D. and Schindler, Konrad", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hackel_Contour_Detection_in_CVPR_2016_paper.pdf"], "Theory and Practice of Structure-From-Motion Using Affine Correspondences": ["Raposo, Carolina and Barreto, Joao P.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Raposo_Theory_and_Practice_CVPR_2016_paper.pdf"], "Marr Revisited: 2D-3D Alignment via Surface Normal Prediction": ["Bansal, Aayush and Russell, Bryan and Gupta, Abhinav", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bansal_Marr_Revisited_2D-3D_CVPR_2016_paper.pdf"], "DeepStereo: Learning to Predict New Views From the World's Imagery": ["Flynn, John and Neulander, Ivan and Philbin, James and Snavely, Noah", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Flynn_DeepStereo_Learning_to_CVPR_2016_paper.pdf"], "DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks": ["Moosavi-Dezfooli, Seyed-Mohsen and Fawzi, Alhussein and Frossard, Pascal", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Moosavi-Dezfooli_DeepFool_A_Simple_CVPR_2016_paper.pdf"], "A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising": ["Nam, Seonghyeon and Hwang, Youngbae and Matsushita, Yasuyuki and Joo Kim, Seon", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Nam_A_Holistic_Approach_CVPR_2016_paper.pdf"], "Recognizing Micro-Actions and Reactions From Paired Egocentric Videos": ["Yonetani, Ryo and Kitani, Kris M. and Sato, Yoichi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yonetani_Recognizing_Micro-Actions_and_CVPR_2016_paper.pdf"], "They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers": ["Chang, Xiaojun and Yu, Yao-Liang and Yang, Yi and Xing, Eric P.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chang_They_Are_Not_CVPR_2016_paper.pdf"], "Sliced Wasserstein Kernels for Probability Distributions": ["Kolouri, Soheil and Zou, Yang and Rohde, Gustavo K.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Kolouri_Sliced_Wasserstein_Kernels_CVPR_2016_paper.pdf"], "Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering": ["You, Chong and Li, Chun-Guang and Robinson, Daniel P. and Vidal, Rene", "http://openaccess.thecvf.com/content_cvpr_2016/papers/You_Oracle_Based_Active_CVPR_2016_paper.pdf"], "Multiview Image Completion With Space Structure Propagation": ["Baek, Seung-Hwan and Choi, Inchang and Kim, Min H.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Baek_Multiview_Image_Completion_CVPR_2016_paper.pdf"], "Discovering the Physical Parts of an Articulated Object Class From Multiple Videos": ["Del Pero, Luca and Ricco, Susanna and Sukthankar, Rahul and Ferrari, Vittorio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Del_Pero_Discovering_the_Physical_CVPR_2016_paper.pdf"], "Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders": ["Zhang, Jie and Kan, Meina and Shan, Shiguang and Chen, Xilin", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Occlusion-Free_Face_Alignment_CVPR_2016_paper.pdf"], "Instance-Aware Semantic Segmentation via Multi-Task Network Cascades": ["Dai, Jifeng and He, Kaiming and Sun, Jian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dai_Instance-Aware_Semantic_Segmentation_CVPR_2016_paper.pdf"], "Interactive Segmentation on RGBD Images via Cue Selection": ["Feng, Jie and Price, Brian and Cohen, Scott and Chang, Shih-Fu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Feng_Interactive_Segmentation_on_CVPR_2016_paper.pdf"], "Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry": ["Dai, Yuchao and Li, Hongdong and Kneip, Laurent", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Dai_Rolling_Shutter_Camera_CVPR_2016_paper.pdf"], "Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry": ["Choe, Gyeongmin and Narasimhan, Srinivasa G. and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Choe_Simultaneous_Estimation_of_CVPR_2016_paper.pdf"], "Geometry-Informed Material Recognition": ["DeGol, Joseph and Golparvar-Fard, Mani and Hoiem, Derek", "http://openaccess.thecvf.com/content_cvpr_2016/papers/DeGol_Geometry-Informed_Material_Recognition_CVPR_2016_paper.pdf"], "Bilateral Space Video Segmentation": ["Maerki, Nicolas and Perazzi, Federico and Wang, Oliver and Sorkine-Hornung, Alexander", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Maerki_Bilateral_Space_Video_CVPR_2016_paper.pdf"], "Large Scale Hard Sample Mining With Monte Carlo Tree Search": ["Canevet, Olivier and Fleuret, Francois", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Canevet_Large_Scale_Hard_CVPR_2016_paper.pdf"], "Improving the Robustness of Deep Neural Networks via Stability Training": ["Zheng, Stephan and Song, Yang and Leung, Thomas and Goodfellow, Ian", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zheng_Improving_the_Robustness_CVPR_2016_paper.pdf"], "Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering": ["Najafi, Mohammad and Taghavi Namin, Sarah and Salzmann, Mathieu and Petersson, Lars", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Najafi_Sample_and_Filter_CVPR_2016_paper.pdf"], "Temporal Action Localization With Pyramid of Score Distribution Features": ["Yuan, Jun and Ni, Bingbing and Yang, Xiaokang and Kassim, Ashraf A.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yuan_Temporal_Action_Localization_CVPR_2016_paper.pdf"], "Piecewise-Planar 3D Approximation From Wide-Baseline Stereo": ["Verleysen, Cedric and De Vleeschouwer, Christophe", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Verleysen_Piecewise-Planar_3D_Approximation_CVPR_2016_paper.pdf"], "In Defense of Sparse Tracking: Circulant Sparse Tracker": ["Zhang, Tianzhu and Bibi, Adel and Ghanem, Bernard", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_In_Defense_of_CVPR_2016_paper.pdf"], "DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations": ["Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf"], "Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd": ["Doumanoglou, Andreas and Kouskouridas, Rigas and Malassiotis, Sotiris and Kim, Tae-Kyun", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Doumanoglou_Recovering_6D_Object_CVPR_2016_paper.pdf"], "Automated 3D Face Reconstruction From Multiple Images Using Quality Measures": ["Piotraschke, Marcel and Blanz, Volker", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Piotraschke_Automated_3D_Face_CVPR_2016_paper.pdf"], "POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models": ["Jun Koh, Yeong and Jang, Won-Dong and Kim, Chang-Su", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Koh_POD_Discovering_Primary_CVPR_2016_paper.pdf"], "Unconstrained Face Alignment via Cascaded Compositional Learning": ["Zhu, Shizhan and Li, Cheng and Loy, Chen-Change and Tang, Xiaoou", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.pdf"], "Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer": ["Xie, Jun and Kiefel, Martin and Sun, Ming-Ting and Geiger, Andreas", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Xie_Semantic_Instance_Annotation_CVPR_2016_paper.pdf"], "Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians": ["Hu, Peiyun and Ramanan, Deva", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Bottom-Up_and_Top-Down_CVPR_2016_paper.pdf"], "Laplacian Patch-Based Image Synthesis": ["Ho Lee, Joo and Choi, Inchang and Kim, Min H.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lee_Laplacian_Patch-Based_Image_CVPR_2016_paper.pdf"], "Towards Open Set Deep Networks": ["Bendale, Abhijit and Boult, Terrance E.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bendale_Towards_Open_Set_CVPR_2016_paper.pdf"], "Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment": ["Hu, Yuan-Ting and Lin, Yen-Yu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Progressive_Feature_Matching_CVPR_2016_paper.pdf"], "Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration": ["Fu, Ying and Zheng, Yinqiang and Sato, Imari and Sato, Yoichi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Fu_Exploiting_Spectral-Spatial_Correlation_CVPR_2016_paper.pdf"], "End-To-End People Detection in Crowded Scenes": ["Stewart, Russell and Andriluka, Mykhaylo and Ng, Andrew Y.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Stewart_End-To-End_People_Detection_CVPR_2016_paper.pdf"], "Single Image Object Modeling Based on BRDF and R-Surfaces Learning": ["Natola, Fabrizio and Ntouskos, Valsamis and Pirri, Fiora and Sanzari, Marta", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Natola_Single_Image_Object_CVPR_2016_paper.pdf"], "Detecting Events and Key Actors in Multi-Person Videos": ["Ramanathan, Vignesh and Huang, Jonathan and Abu-El-Haija, Sami and Gorban, Alexander and Murphy, Kevin and Fei-Fei, Li", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ramanathan_Detecting_Events_and_CVPR_2016_paper.pdf"], "Learning Temporal Regularity in Video Sequences": ["Hasan, Mahmudul and Choi, Jonghyun and Neumann, Jan and Roy-Chowdhury, Amit K. and Davis, Larry S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hasan_Learning_Temporal_Regularity_CVPR_2016_paper.pdf"], "Cross Modal Distillation for Supervision Transfer": ["Gupta, Saurabh and Hoffman, Judy and Malik, Jitendra", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Gupta_Cross_Modal_Distillation_CVPR_2016_paper.pdf"], "Structure From Motion With Objects": ["Crocco, Marco and Rubino, Cosimo and Del Bue, Alessio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Crocco_Structure_From_Motion_CVPR_2016_paper.pdf"], "Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation": ["Pal, Dipan K. and Juefei-Xu, Felix and Savvides, Marios", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Pal_Discriminative_Invariant_Kernel_CVPR_2016_paper.pdf"], "3D Semantic Parsing of Large-Scale Indoor Spaces": ["Armeni, Iro and Sener, Ozan and Zamir, Amir R. and Jiang, Helen and Brilakis, Ioannis and Fischer, Martin and Savarese, Silvio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Armeni_3D_Semantic_Parsing_CVPR_2016_paper.pdf"], "A Direct Least-Squares Solution to the PnP Problem With Unknown Focal Length": ["Zheng, Yinqiang and Kneip, Laurent", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zheng_A_Direct_Least-Squares_CVPR_2016_paper.pdf"], "Recurrently Target-Attending Tracking": ["Cui, Zhen and Xiao, Shengtao and Feng, Jiashi and Yan, Shuicheng", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cui_Recurrently_Target-Attending_Tracking_CVPR_2016_paper.pdf"], "Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels": ["Misra, Ishan and Lawrence Zitnick, C. and Mitchell, Margaret and Girshick, Ross", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Misra_Seeing_Through_the_CVPR_2016_paper.pdf"], "High-Quality Depth From Uncalibrated Small Motion Clip": ["Ha, Hyowon and Im, Sunghoon and Park, Jaesik and Jeon, Hae-Gon and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ha_High-Quality_Depth_From_CVPR_2016_paper.pdf"], "Recurrent Face Aging": ["Wang, Wei and Cui, Zhen and Yan, Yan and Feng, Jiashi and Yan, Shuicheng and Shu, Xiangbo and Sebe, Nicu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Recurrent_Face_Aging_CVPR_2016_paper.pdf"], "Picking Deep Filter Responses for Fine-Grained Image Recognition": ["Zhang, Xiaopeng and Xiong, Hongkai and Zhou, Wengang and Lin, Weiyao and Tian, Qi", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Picking_Deep_Filter_CVPR_2016_paper.pdf"], "Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform": ["Chen, Liang-Chieh and Barron, Jonathan T. and Papandreou, George and Murphy, Kevin and Yuille, Alan L.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Chen_Semantic_Image_Segmentation_CVPR_2016_paper.pdf"], "Simultaneous Optical Flow and Intensity Estimation From an Event Camera": ["Bardow, Patrick and Davison, Andrew J. and Leutenegger, Stefan", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Bardow_Simultaneous_Optical_Flow_CVPR_2016_paper.pdf"], "Going Deeper into First-Person Activity Recognition": ["Ma, Minghuang and Fan, Haoqi and Kitani, Kris M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ma_Going_Deeper_into_CVPR_2016_paper.pdf"], "RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection": ["Cheng, Gong and Zhou, Peicheng and Han, Junwei", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Cheng_RIFD-CNN_Rotation-Invariant_and_CVPR_2016_paper.pdf"], "Semantic Filtering": ["Yang, Qingxiong", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Yang_Semantic_Filtering_CVPR_2016_paper.pdf"], "Learning Action Maps of Large Environments via First-Person Vision": ["Rhinehart, Nicholas and Kitani, Kris M.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rhinehart_Learning_Action_Maps_CVPR_2016_paper.pdf"], "Event-Specific Image Importance": ["Wang, Yufei and Lin, Zhe and Shen, Xiaohui and Mech, Radomir and Miller, Gavin and Cottrell, Garrison W.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Event-Specific_Image_Importance_CVPR_2016_paper.pdf"], "Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition": ["Wen, Yandong and Li, Zhifeng and Qiao, Yu", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wen_Latent_Factor_Guided_CVPR_2016_paper.pdf"], "Some Like It Hot - Visual Guidance for Preference Prediction": ["Rothe, Rasmus and Timofte, Radu and Van Gool, Luc", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Rothe_Some_Like_It_CVPR_2016_paper.pdf"], "Closed-Form Training of Mahalanobis Distance for Supervised Clustering": ["Law, Marc T. and Yu, YaoLiang and Cord, Matthieu and Xing, Eric P.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Law_Closed-Form_Training_of_CVPR_2016_paper.pdf"], "Learning Structured Inference Neural Networks With Label Relations": ["Hu, Hexiang and Zhou, Guang-Tong and Deng, Zhiwei and Liao, Zicheng and Mori, Greg", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Hu_Learning_Structured_Inference_CVPR_2016_paper.pdf"], "Online Reconstruction of Indoor Scenes From RGB-D Streams": ["Wang, Hao and Wang, Jun and Liang, Wang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Online_Reconstruction_of_CVPR_2016_paper.pdf"], "Automatic Content-Aware Color and Tone Stylization": ["Lee, Joon-Young and Sunkavalli, Kalyan and Lin, Zhe and Shen, Xiaohui and So Kweon, In", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Lee_Automatic_Content-Aware_Color_CVPR_2016_paper.pdf"], "Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution": ["Ouyang, Wanli and Wang, Xiaogang and Zhang, Cong and Yang, Xiaokang", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Ouyang_Factors_in_Finetuning_CVPR_2016_paper.pdf"], "Social LSTM: Human Trajectory Prediction in Crowded Spaces": ["Alahi, Alexandre and Goel, Kratarth and Ramanathan, Vignesh and Robicquet, Alexandre and Fei-Fei, Li and Savarese, Silvio", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Alahi_Social_LSTM_Human_CVPR_2016_paper.pdf"], "Monocular Depth Estimation Using Neural Regression Forest": ["Roy, Anirban and Todorovic, Sinisa", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Roy_Monocular_Depth_Estimation_CVPR_2016_paper.pdf"], "Deeply-Recursive Convolutional Network for Image Super-Resolution": ["Kim, Jiwon and Kwon Lee, Jung and Mu Lee, Kyoung", 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"http://openaccess.thecvf.com/content_cvpr_2016/papers/Demisse_Similarity_Metric_For_CVPR_2016_paper.pdf"], "Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU": ["Wieschollek, Patrick and Wang, Oliver and Sorkine-Hornung, Alexander and Lensch, Hendrik P. A.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wieschollek_Efficient_Large-Scale_Approximate_CVPR_2016_paper.pdf"], "Studying Very Low Resolution Recognition Using Deep Networks": ["Wang, Zhangyang and Chang, Shiyu and Yang, Yingzhen and Liu, Ding and Huang, Thomas S.", "http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_Studying_Very_Low_CVPR_2016_paper.pdf"]}