9 papers
MMGait: Towards Multi-Modal Gait Recognition
Chenye Wang, Qingyuan Cai, Saihui Hou +2
Gait recognition has emerged as a powerful biometric technique for identifying individuals at a distance without requiring user cooperation. Most existing methods focus primarily o…
BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition
Qingyuan Cai, Saihui Hou, Xuecai Hu +1
Gait recognition, as a reliable biometric technology, has seen rapid development in recent years while it faces significant challenges caused by diverse clothing styles in the real…
GaitSnippet: Gait Recognition Beyond Unordered Sets and Ordered Sequences
Saihui Hou, Chenye Wang, Wenpeng Lang +2
Recent advancements in gait recognition have significantly enhanced performance by treating silhouettes as either an unordered set or an ordered sequence. However, both set-based a…
OmniDiff: A Comprehensive Benchmark for Fine-grained Image Difference Captioning
Yuan Liu, Saihui Hou, Saijie Hou +3
Image Difference Captioning (IDC) aims to generate natural language descriptions of subtle differences between image pairs, requiring both precise visual change localization and co…
Learning Geometric Invariance for Gait Recognition
Zengbin Wang, Junjie Li, Saihui Hou +6
The goal of gait recognition is to extract identity-invariant features of an individual under various gait conditions, e.g., cross-view and cross-clothing. Most gait models strive…
FastDDHPose: Towards Unified, Efficient, and Disentangled 3D Human Pose Estimation
Qingyuan Cai, Linxin Zhang, Xuecai Hu +2
Recent approaches for monocular 3D human pose estimation (3D HPE) have achieved leading performance by directly regressing 3D poses from 2D keypoint sequences. Despite the rapid pr…