SUTD Computer Vision & Learning Group (VLG)

SUTD Computer Vision & Learning Group (VLG)'s repositories

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

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[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

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[CVPR2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

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[ICCV2023] Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events

[ECCV2024] SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild

[MICCAI 2023 Challenge] Top solution of the MICCAI CLdetection2023 challenge

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[ICCV2021 Workshop] Multi-Modal Video Reasoning and Analyzing Competition

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[CVPR2023] DiffPose: Toward More Reliable 3D Pose Estimation

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[ECCV2022] Gradauto: Energy-oriented attack on dynamic neural networks

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[TPAMI2023] GradMDM: Adversarial Attack on Dynamic Networks

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[2024 ICME Grand Challenge] Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC)

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[TMM2023] Progressive Channel-Shrinking Network

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[2024 ICME Workshop] Vision and Learning for an Enhanced Metaverse

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[NeurIPS 2023] LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition

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[ECCV2022] Improving the Reliability for Confidence Estimation

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