6 papers
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…
Pose as Clinical Prior: Learning Dual Representations for Scoliosis Screening
Zirui Zhou, Zizhao Peng, Dongyang Jin +3
Recent AI-based scoliosis screening methods primarily rely on large-scale silhouette datasets, often neglecting clinically relevant postural asymmetries-key indicators in tradition…
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Dingqiang Ye, Chao Fan, Zhanbo Huang +4
Large vision models (LVM) based gait recognition has achieved impressive performance. However, existing LVM-based approaches may overemphasize gait priors while neglecting the intr…
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…
On Denoising Walking Videos for Gait Recognition
Dongyang Jin, Chao Fan, Jingzhe Ma +3
To capture individual gait patterns, excluding identity-irrelevant cues in walking videos, such as clothing texture and color, remains a persistent challenge for vision-based gait…
Exploring More from Multiple Gait Modalities for Human Identification
Dongyang Jin, Chao Fan, Weihua Chen +1
The gait, as a kind of soft biometric characteristic, can reflect the distinct walking patterns of individuals at a distance, exhibiting a promising technique for unrestrained huma…