73 citations · 305 across the 49 of their papers we have counts for
7 papers · 1 filter
Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Yong-Lu Li, Yue Xu, Xinyu Xu +4
Understanding objects is a central building block of artificial intelligence, especially for embodied AI. Even though object recognition excels with deep learning, current machines…
Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions
Yong-Lu Li, Hongwei Fan, Zuoyu Qiu +8
Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at detecting HOIs from videos, which is crucial for activity understanding. In daily HOIs, humans often interact wi…
Constructing Balance from Imbalance for Long-tailed Image Recognition
Yue Xu, Yong-Lu Li, Jiefeng Li +1
Long-tailed image recognition presents massive challenges to deep learning systems since the imbalance between majority (head) classes and minority (tail) classes severely skews th…
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection
Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu +3
Human-Object Interaction (HOI) detection plays a crucial role in activity understanding. Though significant progress has been made, interactiveness learning remains a challenging p…
Interactiveness Field in Human-Object Interactions
Xinpeng Liu, Yong-Lu Li, Xiaoqian Wu +3
Human-Object Interaction (HOI) detection plays a core role in activity understanding. Though recent two/one-stage methods have achieved impressive results, as an essential step, di…
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection
Xinpeng Liu, Yong-Lu Li, Cewu Lu
Human-Object Interaction (HOI) detection plays a core role in activity understanding. As a compositional learning problem (human-verb-object), studying its generalization matters.…