most citedDetailed 2D-3D Joint Representation for Human-Object Interaction

17 citations · 45 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV202017 cited

Detailed 2D-3D Joint Representation for Human-Object Interaction

Yong-Lu Li, Xinpeng Liu, Han Lu +4

Human-Object Interaction (HOI) detection lies at the core of action understanding. Besides 2D information such as human/object appearance and locations, 3D pose is also usually uti…

cs.CV202017 cited

Recursive Social Behavior Graph for Trajectory Prediction

Jianhua Sun, Qinhong Jiang, Cewu Lu

Social interaction is an important topic in human trajectory prediction to generate plausible paths. In this paper, we present a novel insight of group-based social interaction mod…

cs.CV202011 cited

PaStaNet: Toward Human Activity Knowledge Engine

Yong-Lu Li, Liang Xu, Xinpeng Liu +7

Existing image-based activity understanding methods mainly adopt direct mapping, i.e. from image to activity concepts, which may encounter performance bottleneck since the huge gap…

cs.CV2020

Symmetry and Group in Attribute-Object Compositions

Yong-Lu Li, Yue Xu, Xiaohan Mao +1

Attributes and objects can compose diverse compositions. To model the compositional nature of these general concepts, it is a good choice to learn them through transformations, suc…

cs.CV2019

3D Objectness Estimation via Bottom-up Regret Grouping

Zelin Ye, Yan Hao, Liang Xu +2

3D objectness estimation, namely discovering semantic objects from 3D scene, is a challenging and significant task in 3D understanding. In this paper, we propose a 3D objectness me…

cs.CV2019

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

Hao-Shu Fang, Jianhua Sun, Runzhong Wang +3

Instance segmentation requires a large number of training samples to achieve satisfactory performance and benefits from proper data augmentation. To enlarge the training set and in…