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

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10 papers · 1 filter

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…

cs.CV2020★ 8 cited

Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identification

Zhiyuan Chen, Annan Li, Shilu Jiang +1

Video-based person re-identification (Re-ID) is an important computer vision task. The batch-hard triplet loss frequently used in video-based person Re-ID suffers from the Distance…

cs.CV2019★ 2 cited

A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition

Zhiyuan Chen, Annan Li, Yunhong Wang

In this paper, we first tackle the problem of pedestrian attribute recognition by video-based approach. The challenge mainly lies in spatial and temporal modeling and how to integr…

cs.CV2018★ 1 cited

Adversarial Binary Coding for Efficient Person Re-identification

Zheng Liu, Jie Qin, Annan Li +2

Person re-identification (ReID) aims at matching persons across different views/scenes. In addition to accuracy, the matching efficiency has received more and more attention becaus…

cs.CV2015★ 2 cited

Cross-pose Face Recognition by Canonical Correlation Analysis

Annan Li, Shiguang Shan, Xilin Chen +3

The pose problem is one of the bottlenecks in automatic face recognition. We argue that one of the diffculties in this problem is the severe misalignment in face images or feature…