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20192023
most citedExploring Deep Models for Practical Gait Recognition

17 citations · 31 across the 9 of their papers we have counts for

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12 papers · 1 filter

cs.CV2023

Free Lunch for Gait Recognition: A Novel Relation Descriptor

Jilong Wang, Saihui Hou, Yan Huang +5

Gait recognition is to seek correct matches for query individuals by their unique walking patterns. However, current methods focus solely on extracting individual-specific features…

cs.CV2023★ 1 cited

Unsupervised Gait Recognition with Selective Fusion

Xuqian Ren, Shaopeng Yang, Saihui Hou +3

Previous gait recognition methods primarily trained on labeled datasets, which require painful labeling effort. However, using a pre-trained model on a new dataset without fine-tun…

cs.CV2023

GPGait: Generalized Pose-based Gait Recognition

Yang Fu, Shibei Meng, Saihui Hou +2

Recent works on pose-based gait recognition have demonstrated the potential of using such simple information to achieve results comparable to silhouette-based methods. However, the…

cs.CV2023★ 17 cited

Exploring Deep Models for Practical Gait Recognition

Chao Fan, Saihui Hou, Yongzhen Huang +1

Gait recognition is a rapidly advancing vision technique for person identification from a distance. Prior studies predominantly employed relatively shallow networks to extract subt…

cs.CV2022★ 5 cited

OpenGait: Revisiting Gait Recognition Toward Better Practicality

Chao Fan, Junhao Liang, Chuanfu Shen +3

Gait recognition is one of the most critical long-distance identification technologies and increasingly gains popularity in both research and industry communities. Despite the sign…

cs.CV2022★ 4 cited

Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition

Xuqian Ren, Saihui Hou, Chunshui Cao +2

Gait recognition is instrumental in crime prevention and social security, for it can be conducted at a long distance to figure out the identity of persons. However, existing datase…