- 🌱 I'm Jinheng Xie, a PhD student at National University of Singapore, working with Professor Mike Shou.
- ❤️ My research interests focus on computer vision. Specifically, I was enthusiastically working on label-efficient learning of scene understanding (object localization and segmentation in un/weakly-supervised manners). Currently, I'm working on exploring multi-modal pre-training and generation like generative pre-training and text-to-image generation.
- ❤️ I'm currently serving as a reviewer for TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence), IJCV (International Journal of Computer Vision), AAAI and CVPR.
🎯
Focusing
PhD student at NUS.
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NUS, Tencent
- Singapore
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08:43
(UTC +08:00) - https://sierkinhane.github.io/
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showlab/Show-o
showlab/Show-o PublicRepository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.
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showlab/VisorGPT
showlab/VisorGPT Public[NeurIPS 2023] Customize spatial layouts for conditional image synthesis models, e.g., ControlNet, using GPT
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showlab/BoxDiff
showlab/BoxDiff Public[ICCV 2023] BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
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CVI-SZU/CLIMS
CVI-SZU/CLIMS Public[CVPR 2022] CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation
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CVI-SZU/CCAM
CVI-SZU/CCAM Public[CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation
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CRNN_Chinese_Characters_Rec
CRNN_Chinese_Characters_Rec Public(CRNN) Chinese Characters Recognition.
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