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 • 7 Mar 2024 • Qingyuan Cai, Xuecai Hu, Saihui Hou, Li Yao, Yongzhen Huang
To address these problems, a Disentangled Diffusion-based 3D Human Pose Estimation method with Hierarchical Spatial and Temporal Denoiser is proposed, termed DDHPose.
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.
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).
2 code implementations • ICCV 2023 • Yang Fu, Shibei Meng, Saihui Hou, Xuecai Hu, Yongzhen Huang
Recent works on pose-based gait recognition have demonstrated the potential of using such simple information to achieve results comparable to silhouette-based methods.
1 code implementation • 6 Mar 2023 • Chao Fan, Saihui Hou, Yongzhen Huang, Shiqi Yu
Gait recognition is a rapidly advancing vision technique for person identification from a distance.
1 code implementation • CVPR 2023 • Chao Fan, Junhao Liang, Chuanfu Shen, Saihui Hou, Yongzhen Huang, Shiqi Yu
To this end, we first develop a flexible and efficient gait recognition codebase named OpenGait.
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.
1 code implementation • 12 Nov 2022 • Chao Fan, Junhao Liang, Chuanfu Shen, Saihui Hou, Yongzhen Huang, Shiqi Yu
To this end, we first develop a flexible and efficient gait recognition codebase named OpenGait.
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.
1 code implementation • 28 Jun 2022 • Chao Fan, Saihui Hou, Jilong Wang, Yongzhen Huang, Shiqi Yu
As far as we know, GaitLU-1M is the first large-scale unlabelled gait dataset, and GaitSSB is the first method that achieves remarkable unsupervised results on the aforementioned benchmarks.
1 code implementation • 8 Mar 2022 • Junhao Liang, Chao Fan, Saihui Hou, Chuanfu Shen, Yongzhen Huang, Shiqi Yu
Gait is one of the most promising biometrics to identify individuals at a long distance.
2 code implementations • 11 Nov 2021 • Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu, Saihui Hou
However, it is undesirably observed that the standard contrastive paradigm (features+$\ell_{2}$ normalization) only brings little help for domain adaptation.
2 code implementations • CVPR 2019 • Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin
However, it has been observed that incremental learning is subject to a fundamental difficulty -- catastrophic forgetting, namely adapting a model to new data often results in severe performance degradation on previous tasks or classes.
no code implementations • ECCV 2018 • Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, Dahua Lin
Lifelong learning aims at adapting a learned model to new tasks while retaining the knowledge gained earlier.
no code implementations • ECCV 2018 • Jiafan Zhuang, Saihui Hou, Zilei Wang, Zheng-Jun Zha
License plate recognition (LPR) is a fundamental component of various intelligent transport systems, which is always expected to be accurate and efficient enough.
1 code implementation • ICCV 2017 • Saihui Hou, Xu Liu, Zilei Wang
Here two parallel neural networks are coordinated to learn complementary features and thus a wider network is constructed.
2 code implementations • ICCV 2017 • Saihui Hou, Yushan Feng, Zilei Wang
While the existing datasets for FGVC are mainly focused on animal breeds or man-made objects with limited labelled data, VegFru is a larger dataset consisting of vegetables and fruits which are closely associated with the daily life of everyone.
no code implementations • 8 May 2016 • Saihui Hou, Zilei Wang, Feng Wu
This paper addresses the issue on how to more effectively coordinate the depth with RGB aiming at boosting the performance of RGB-D object detection.