136 citations · 823 across the 50 of their papers we have counts for
6 papers · 1 filter
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition
Benjia Zhou, Pichao Wang, Jun Wan +2
Motion recognition is a promising direction in computer vision, but the training of video classification models is much harder than images due to insufficient data and considerable…
Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition
Zhimin Gao, Peitao Wang, Pei Lv +5
Despite great progress achieved by transformer in various vision tasks, it is still underexplored for skeleton-based action recognition with only a few attempts. Besides, these met…
Effective Vision Transformer Training: A Data-Centric Perspective
Benjia Zhou, Pichao Wang, Jun Wan +2
Vision Transformers (ViTs) have shown promising performance compared with Convolutional Neural Networks (CNNs), but the training of ViTs is much harder than CNNs. In this paper, we…
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
Zihui Guo, Yonghong Hou, Pichao Wang +3
Analysis of human interaction is one important research topic of human motion analysis. It has been studied either using first person vision (FPV) or third person vision (TPV). How…
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Shanshan Wang, Lei Zhang, Pichao Wang
Triplet loss, one of the deep metric learning (DML) methods, is to learn the embeddings where examples from the same class are closer than examples from different classes. Motivate…
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer
Pichao Wang, Fan Wang, Hao Li
The gap in representations between image and video makes Image-to-Video Re-identification (I2V Re-ID) challenging, and recent works formulate this problem as a knowledge distillati…