activity
20152024
most citedFew-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning

15 citations · 45 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2024★ 1 cited

GLGait: A Global-Local Temporal Receptive Field Network for Gait Recognition in the Wild

Guozhen Peng, Yunhong Wang, Yuwei Zhao +2

Gait recognition has attracted increasing attention from academia and industry as a human recognition technology from a distance in non-intrusive ways without requiring cooperation…

cs.CV2022★ 15 cited

RealGait: Gait Recognition for Person Re-Identification

Shaoxiong Zhang, Yunhong Wang, Tianrui Chai +2

Human gait is considered a unique biometric identifier which can be acquired in a covert manner at a distance. However, models trained on existing public domain gait datasets which…

cs.CV2021

Will You Ever Become Popular? Learning to Predict Virality of Dance Clips

Jiahao Wang, Yunhong Wang, Nina Weng +4

Dance challenges are going viral in video communities like TikTok nowadays. Once a challenge becomes popular, thousands of short-form videos will be uploaded in merely a couple of…

cs.CV2021

Video Person Re-identification using Attribute-enhanced Features

Tianrui Chai, Zhiyuan Chen, Annan Li +3

Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task. Pedestrian attribute, suc…

cs.CV2021★ 15 cited

Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning

Jiahao Wang, Yunhong Wang, Sheng Liu +1

Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare…

cs.CV2021★ 1 cited

Silhouette based View embeddings for Gait Recognition under Multiple Views

Tianrui Chai, Xinyu Mei, Annan Li +1

Gait recognition under multiple views is an important computer vision and pattern recognition task. In the emerging convolutional neural network based approaches, the information o…