11 citations · 37 across the 32 of their papers we have counts for
7 papers · 2 filters
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration
Zekun Qian, Ruize Han, Wei Feng +2
We tackle a new problem of multi-view camera and subject registration in the bird's eye view (BEV) without pre-given camera calibration. This is a very challenging problem since it…
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
Likai Wang, Xiangqun Zhang, Ruize Han +4
Person re-identification (Re-ID) is a classical computer vision task and has achieved great progress so far. Recently, long-term Re-ID with clothes-changing has attracted increasin…
From Indoor To Outdoor: Unsupervised Domain Adaptive Gait Recognition
Likai Wang, Ruize Han, Wei Feng +1
Gait recognition is an important AI task, which has been progressed rapidly with the development of deep learning. However, existing learning based gait recognition methods mainly…
Single Object Tracking Research: A Survey
Ruize Han, Wei Feng, Qing Guo +1
Visual object tracking is an important task in computer vision, which has many real-world applications, e.g., video surveillance, visual navigation. Visual object tracking also has…
Self-supervised Social Relation Representation for Human Group Detection
Jiacheng Li, Ruize Han, Haomin Yan +3
Human group detection, which splits crowd of people into groups, is an important step for video-based human social activity analysis. The core of human group detection is the human…
Panoramic Human Activity Recognition
Ruize Han, Haomin Yan, Jiacheng Li +3
To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simu…
Combining the Silhouette and Skeleton Data for Gait Recognition
Likai Wang, Ruize Han, Wei Feng
Gait recognition, a long-distance biometric technology, has aroused intense interest recently. Currently, the two dominant gait recognition works are appearance-based and model-bas…