activity
20172022
most citedSpatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

602 citations · 619 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20212 cited

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…

cs.CV2020

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…

cs.CV202010 cited

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…

cs.CV2018602 cited

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…

cs.CV20173 cited

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…