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    Chapter and Conference Paper

    Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection

    Human-Object Interaction (HOI) detection plays a crucial role in activity understanding. Though significant progress has been made, interactiveness learning remains a challenging problem in HOI detection: exis...

    **aoqian Wu, Yong-Lu Li, **npeng Liu, Junyi Zhang, Yuzhe Wu in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Constructing Balance from Imbalance for Long-Tailed Image Recognition

    Long-tailed image recognition presents massive challenges to deep learning systems since the imbalance between majority (head) classes and minority (tail) classes severely skews the data-driven deep neural net...

    Yue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Asynchronous Interaction Aggregation for Action Detection

    Understanding interaction is an essential part of video action detection. We propose the Asynchronous Interaction Aggregation network (AIA) that leverages different interactions to boost action detection. Ther...

    Jiajun Tang, ** **a, **nzhi Mu, Bo Pang, Cewu Lu in Computer Vision – ECCV 2020 (2020)

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    Chapter and Conference Paper

    HMOR: Hierarchical Multi-person Ordinal Relations for Monocular Multi-person 3D Pose Estimation

    Remarkable progress has been made in 3D human pose estimation from a monocular RGB camera. However, only a few studies explored 3D multi-person cases. In this paper, we attempt to address the lack of a global ...

    Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu in Computer Vision – ECCV 2020 (2020)

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    Chapter and Conference Paper

    Human Correspondence Consensus for 3D Object Semantic Understanding

    Semantic understanding of 3D objects is crucial in many applications such as object manipulation. However, it is hard to give a universal definition of point-level semantics that everyone would agree on. We ob...

    Yu**g Lou, Yang You, Chengkun Li, Zhoujun Cheng in Computer Vision – ECCV 2020 (2020)