602 citations · 624 across the 7 of their papers we have counts for
7 papers
Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis
Jingbo Wang, Yu Rong, Jingyuan Liu +3
The ability to synthesize long-term human motion sequences in real-world scenes can facilitate numerous applications. Previous approaches for scene-aware motion synthesis are const…
Scene-aware Generative Network for Human Motion Synthesis
Jingbo Wang, Sijie Yan, Bo Dai +1
We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they a…
Positive-Congruent Training: Towards Regression-Free Model Updates
Sijie Yan, Yuanjun Xiong, Kaustav Kundu +5
Reducing inconsistencies in the behavior of different versions of an AI system can be as important in practice as reducing its overall error. In image classification, sample-wise i…
Motion Guided 3D Pose Estimation from Videos
Jingbo Wang, Sijie Yan, Yuanjun Xiong +1
We propose a new loss function, called motion loss, for the problem of monocular 3D Human pose estimation from 2D pose. In computing motion loss, a simple yet effective representat…
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan, Yuanjun Xiong, Dahua Lin
Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts or t…
Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks
Sijie Yan, Ziwei Liu, Ping Luo +3
Fashion landmarks are functional key points defined on clothes, such as corners of neckline, hemline, and cuff. They have been recently introduced as an effective visual representa…
Fashion Landmark Detection in the Wild
Ziwei Liu, Sijie Yan, Ping Luo +2
Visual fashion analysis has attracted many attentions in the recent years. Previous work represented clothing regions by either bounding boxes or human joints. This work presents f…