| Gaitpart: Temporal part-based model for gait recognition C Fan, Y Peng, C Cao, X Liu, S Hou, J Chi, Y Huang, Q Li, Z He CVPR2020, 2020 | 385 | 2020 |
| OpenGait: Revisiting Gait Recognition Toward Better Practicality C Fan, J Liang, C Shen, S Hou, Y Huang, S Yu CVPR2023, 2022 | 91 | 2022 |
| Gaitedge: Beyond plain end-to-end gait recognition for better practicality J Liang*, C Fan*, S Hou, C Shen, Y Huang, S Yu ECCV2022, 375-390, 2022 | 65 | 2022 |
| LidarGait: Benchmarking 3D Gait Recognition with Point Clouds C Shen, C Fan, W Wu, R Wang, GQ Huang, S Yu CVPR2023, 2022 | 28 | 2022 |
| Learning gait representation from massive unlabelled walking videos: A benchmark C Fan, S Hou, J Wang, Y Huang, S Yu T-PAMI2023, 2022 | 17 | 2022 |
| Exploring Deep Models for Practical Gait Recognition C Fan, S Hou, Y Huang, S Yu Arxiv2023, 2023 | 14* | 2023 |
| A Comprehensive Study on the Evaluation of Silhouette-based Gait Recognition S Hou, C Fan, C Cao, X Liu, Y Huang TBIOM2022, 2022 | 5 | 2022 |
| SkeletonGait: Gait Recognition Using Skeleton Maps C Fan, J Ma, D Jin, C Shen, S Yu AAAI2024, 2023 | 2 | 2023 |
| A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition S Zou, J Xiong, C Fan, S Yu, J Tang IJCB2023, 2023 | 1 | 2023 |
| Cross-Covariate Gait Recognition: A Benchmark S Zou, C Fan, J Xiong, C Shen, S Yu, J Tang AAAI2024, 2023 | 1 | 2023 |
| PointGait: Boosting End-to-End 3D Gait Recognition with Point Clouds via Spatiotemporal Modeling R Wang, C Shen, C Fan, GQ Huang, S Yu IJCB2023, 1-10, 2023 | 1 | 2023 |
| Pedestrian Attribute Editing for Gait Recognition and Anonymization J Ma*, D Ye*, C Fan*, S Yu Arxiv2023, 2023 | 1* | 2023 |
| OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality C Fan, S Hou, J Liang, C Shen, J Ma, D Jin, Y Huang, S Yu arXiv preprint arXiv:2405.09138, 2024 | | 2024 |
| BigGait: Learning Gait Representation You Want by Large Vision Models D Ye*, C Fan*, J Ma, X Liu, S Yu CVPR2024, 2024 | | 2024 |
Yongzhen HuangSchool of Artificial Intelligence, Beijing Normal University在 bnu.edu.cn 的电子邮件经过验证
