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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...
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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...
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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...
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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 ...
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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...