1 code implementation • ECCV 2020 • Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Gait recognition aims at identifying different people by the walking patterns, which can be conducted at a long distance without the cooperation of subjects.
1 code implementation • 24 Jan 2024 • Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu
Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns.
1 code implementation • 2 Sep 2023 • Shibei Meng, Yang Fu, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Our toolbox supports a set of cutting-edge pose-based gait recognition algorithms and a variety of related benchmarks.
no code implementations • 22 Aug 2023 • Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang, Liang Wang
Gait recognition is to seek correct matches for query individuals by their unique walking patterns.
2 code implementations • NeurIPS 2023 • Rui Wang, Peipei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He
Consequently, we propose a cross-modal ordinal pairwise loss to refine the CLIP feature space, where texts and images maintain both semantic alignment and ordering alignment.
no code implementations • 19 Mar 2023 • Xuqian Ren, Shaopeng Yang, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
So to make the pre-trained gait recognition model able to be fine-tuned on unlabeled datasets, we propose a new task: Unsupervised Gait Recognition (UGR).
no code implementations • CVPR 2023 • Kang Ma, Ying Fu, Dezhi Zheng, Chunshui Cao, Xuecai Hu, Yongzhen Huang
Specifically, we create a dynamic attention mechanism between the features of neighboring pixels that not only adaptively focuses on key regions but also generates more expressive local motion patterns.
2 code implementations • CVPR 2023 • Weijia Li, Saihui Hou, Chunjie Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Yao Zhao
For the cloth-changing problem, video-based ReID is rarely studied due to the lack of a suitable cloth-changing benchmark, and gait recognition is often researched under controlled conditions.
no code implementations • ICCV 2023 • Kang Ma, Ying Fu, Dezhi Zheng, Yunjie Peng, Chunshui Cao, Yongzhen Huang
Gait recognition has emerged as a promising technique for the long-range retrieval of pedestrians, providing numerous advantages such as accurate identification in challenging conditions and non-intrusiveness, making it highly desirable for improving public safety and security.
no code implementations • 13 Oct 2022 • Weichen Yu, Hongyuan Yu, Yan Huang, Chunshui Cao, Liang Wang
Gait recognition aims to identify individuals by recognizing their walking patterns.
no code implementations • 29 Jul 2022 • Yunjie Peng, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang, Zhiqiang He
After that, we summarize and compare the performance of recent occluded person Re-ID methods on four popular datasets: Partial-ReID, Partial-iLIDS, Occluded-ReID, and Occluded-DukeMTMC.
no code implementations • 24 Jul 2022 • Xuqian Ren, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang
Gait recognition is instrumental in crime prevention and social security, for it can be conducted at a long distance to figure out the identity of persons.
no code implementations • ICCV 2015 • Chunshui Cao, Xian-Ming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang
While feedforward deep convolutional neural networks (CNNs) have been a great success in computer vision, it is important to remember that the human visual contex contains generally more feedback connections than foward connections.