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Other prediction papers 2021

    Graber et al., "Panoptic Segmentation Forecasting", CVPR, 2021. paper arxiv code
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      Bibtex
      @InProceedings{Graber_2021_CVPR,
          author = "Graber, Colin and Tsai, Grace and Firman, Michael and Brostow, Gabriel and Schwing, Alexander G.",
          title = "Panoptic Segmentation Forecasting",
          booktitle = "CVPR",
          year = "2021"
      }
      
    Hu et al., "Safe Local Motion Planning With Self-Supervised Freespace Forecasting", CVPR, 2021. paper code
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      Bibtex
      @InProceedings{Hu_2021_CVPR,
          author = "Hu, Peiyun and Huang, Aaron and Dolan, John and Held, David and Ramanan, Deva",
          title = "Safe Local Motion Planning With Self-Supervised Freespace Forecasting",
          booktitle = "CVPR",
          year = "2021"
      }
      
    Li et al., "Causal Hidden Markov Model for Time Series Disease Forecasting", CVPR, 2021. paper arxiv code
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      @InProceedings{Li_2021_CVPR,
          author = "Li, Jing and Wu, Botong and Sun, Xinwei and Wang, Yizhou",
          title = "Causal Hidden Markov Model for Time Series Disease Forecasting",
          booktitle = "CVPR",
          year = "2021"
      }
      
    Hu et al., "FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras", ICCV, 2021. paper
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      Bibtex
      @InProceedings{Hu_2021_ICCV,
          author = "Hu, Anthony and Murez, Zak and Mohan, Nikhil and Dudas, Sofia and Hawke, Jeffrey and Badrinarayanan, Vijay and Cipolla, Roberto and Kendall, Alex",
          title = "{FIERY}: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras",
          booktitle = "ICCV",
          year = "2021"
      }
      
    Lin et al., "Predictive Feature Learning for Future Segmentation Prediction", ICCV, 2021. paper
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      Bibtex
      @InProceedings{Lin_2021_ICCV,
          author = "Lin, Zihang and Sun, Jiangxin and Hu, Jian-Fang and Yu, Qizhi and Lai, Jian-Huang and Zheng, Wei-Shi",
          title = "Predictive Feature Learning for Future Segmentation Prediction",
          booktitle = "ICCV",
          year = "2021"
      }
      
    Toyungyernsub et al., "Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments", ICRA, 2021. paper arxiv
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      Bibtex
      @InProceedings{Toyungyernsub_2021_ICRA,
          author = "Toyungyernsub, Maneekwan and Itkina, Masha and Senanayake, Ransalu and Kochenderfer, Mykel J.",
          booktitle = "ICRA",
          title = "Double-Prong {ConvLSTM} for Spatiotemporal Occupancy Prediction in Dynamic Environments",
          year = "2021"
      }
      
    Luo et al., "Safety-Oriented Pedestrian Occupancy Forecasting", IROS, 2021. paper arxiv
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      Bibtex
      @InProceedings{Luo_2021_IROS,
          author = "Luo, Katie and Casas, Sergio and Liao, Renjie and Yan, Xinchen and Xiong, Yuwen and Zeng, Wenyuan and Urtasun, Raquel",
          booktitle = "IROS",
          title = "Safety-Oriented Pedestrian Occupancy Forecasting",
          year = "2021"
      }
      
    Walters et al., "EVReflex: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance", IROS, 2021. paper arxiv
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      @InProceedings{Walters_2021_IROS,
          author = "Walters, Celyn and Hadfield, Simon",
          booktitle = "IROS",
          title = "{EVReflex}: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance",
          year = "2021"
      }
      
    Wang et al., "Learning-based 3D Occupancy Prediction for Autonomous Navigation in Occluded Environments", IROS, 2021. paper arxiv code
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      @InProceedings{Wang_2021_IROS,
          author = "Wang, Lizi and Ye, Hongkai and Wang, Qianhao and Gao, Yuman and Xu, Chao and Gao, Fei",
          booktitle = "IROS",
          title = "Learning-based {3D} Occupancy Prediction for Autonomous Navigation in Occluded Environments",
          year = "2021"
      }
      
    Weng et al., "Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects", IROS, 2021. paper arxiv code
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      Bibtex
      @InProceedings{Weng_2021_IROS,
          author = "Weng, Zehang and Paus, Fabian and Varava, Anastasiia and Yin, Hang and Asfour, Tamim and Kragic, Danica",
          booktitle = "IROS",
          title = "Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects",
          year = "2021"
      }
      
    Xie et al., "Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System", IROS, 2021. paper
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      Bibtex
      @InProceedings{Xie_2021_IROS,
          author = "Xie, Xiaoyang and Shao, Kangjia and Wang, Yang and Miao, Fei and Zhang, Desheng",
          booktitle = "IROS",
          title = "Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System",
          year = "2021"
      }
      
    Zhu et al., "Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism", IROS, 2021. paper arxiv
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      @InProceedings{Zhu_2021_IROS,
          author = "Zhu, Haibei and Misu, Teruhisa and Martin, Sujitha and Wu, Xingwei and Akash, Kumar",
          booktitle = "IROS",
          title = "Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism",
          year = "2021"
      }
      
    Wirthmüller et al., "Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks", RAL, 2021. paper arxiv
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      Bibtex
      @Article{Wirthmuller_2021_RAL,
          author = "Wirthmüller, Florian and Klimke, Marvin and Schlechtriemen, Julian and Hipp, Jochen and Reichert, Manfred",
          journal = "RAL",
          title = "Predicting the Time Until a Vehicle Changes the Lane Using {LSTM-Based} Recurrent Neural Networks",
          year = "2021",
          volume = "6",
          number = "2",
          pages = "2357-2364"
      }
      
    Oota et al., "HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients", WACV, 2021. paper
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      @InProceedings{Oota_2021_WACV,
          author = "Oota, Subba Reddy and Rowtula, Vijay and Mohammed, Shahid and Galitz, Jeffrey and Liu, Minghsun and Gupta, Manish",
          title = "{HealTech} - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients",
          booktitle = "WACV",
          year = "2021"
      }
      
    Mersch et al., "Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks", CoRL, 2021. paper arxiv
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      @InProceedings{Mersch_2021_CoRL,
          author = "Mersch, Benedikt and Chen, Xieyuanli and Behley, Jens and Stachniss, Cyrill",
          title = "Self-supervised Point Cloud Prediction Using {3D} Spatio-temporal Convolutional Networks",
          booktitle = "CoRL",
          year = "2021"
      }
      
    Weng et al., "Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting", CoRL, 2021. paper arxiv code
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      Bibtex
      @InProceedings{Weng_2021_CORL,
          author = "Weng, Xinshuo and Wang, Jianren and Levine, Sergey and Kitani, Kris and Rhinehart, Nick",
          title = "Inverting the Pose Forecasting Pipeline with {SPF2}: Sequential Pointcloud Forecasting for Sequential Pose Forecasting",
          booktitle = "CoRL",
          year = "2021"
      }