activity
20222026
most citedAn Identity-Preserved Framework for Human Motion Transfer

7 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2025

Jingzhe Ma, Meng Zhang, Jianlong Yu +34

Human identification at a distance (HID) is challenging because traditional biometric modalities such as face and fingerprints are often difficult to acquire in real-world scenario…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

BigGait: Learning Gait Representation You Want by Large Vision Models

Dingqiang Ye, Chao Fan, Jingzhe Ma +2

Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industry communities. However, existing gait rec…

cs.CV2023

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…

cs.CV2023★ 1 cited

Pedestrian Attribute Editing for Gait Recognition and Anonymization

Jingzhe Ma, Dingqiang Ye, Chao Fan +1

As a kind of biometrics, the gait information of pedestrians has attracted widespread attention from both industry and academia since it can be acquired from long distances without…

cs.CV2022★ 7 cited

An Identity-Preserved Framework for Human Motion Transfer

Jingzhe Ma, Xiaoqing Zhang, Shiqi Yu

Human motion transfer (HMT) aims to generate a video clip for the target subject by imitating the source subject's motion. Although previous methods have achieved good results in s…