30 citations · 43 across the 12 of their papers we have counts for
12 papers
EventGait: Towards Robust Gait Recognition with Event Streams
Senyan Xu, Shuai Chen, Chuanfu Shen +4
Gait recognition enables non-intrusive, privacy-preserving identification but suffers in uncontrolled environments due to illumination and motion sensitivity of conventional camera…
Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time
Ruizhi Zhang, Ye Huang, Yuangang Pan +5
While artificial intelligence has mastered structured games like chess and Go, vision-language agents still struggle in visually-driven 3D games without access to game states. Exis…
Improving the generalization of gait recognition with limited datasets
Qian Zhou, Xianda Guo, Jilong Wang +5
Generalized gait recognition remains challenging due to significant domain shifts in viewpoints, appearances, and environments. Mixed-dataset training has recently become a practic…
OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality
Chao Fan, Saihui Hou, Junhao Liang +5
Gait recognition, a rapidly advancing vision technology for person identification from a distance, has made significant strides in indoor settings. However, evidence suggests that…
Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification
Rui Wang, Chuanfu Shen, Manuel J. Marin-Jimenez +2
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different s…
SkeletonGait: Gait Recognition Using Skeleton Maps
Chao Fan, Jingzhe Ma, Dongyang Jin +2
The choice of the representations is essential for deep gait recognition methods. The binary silhouettes and skeletal coordinates are two dominant representations in recent literat…
Cross-Covariate Gait Recognition: A Benchmark
Shinan Zou, Chao Fan, Jianbo Xiong +3
Gait datasets are essential for gait research. However, this paper observes that present benchmarks, whether conventional constrained or emerging real-world datasets, fall short re…
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
Chuanfu Shen, Chao Fan, Wei Wu +3
Video-based gait recognition has achieved impressive results in constrained scenarios. However, visual cameras neglect human 3D structure information, which limits the feasibility…
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…
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges
Chuanfu Shen, Shiqi Yu, Jilong Wang +2
Gait recognition aims to identify a person at a distance, serving as a promising solution for long-distance and less-cooperation pedestrian recognition. Recently, significant advan…
Gait Recognition with Mask-based Regularization
Chuanfu Shen, Beibei Lin, Shunli Zhang +3
Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglec…
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality
Junhao Liang, Chao Fan, Saihui Hou +3
Gait is one of the most promising biometrics to identify individuals at a long distance. Although most previous methods have focused on recognizing the silhouettes, several end-to-…