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中级

侯赛辉

  时间:2023-11-01  浏览:


基本信息

  • 职称:中级 (硕士生导师)

  • 研究方向:计算机视觉、模式识别

  • 电子邮箱:housaihui@bnu.edu.cn

个人简介

主要从事步态识别、增量学习等方面的研究。目前已在TPAMI、TIFS、TNNLS和CVPR、ICCV、ECCV等期刊和会议发表27篇论文,其中CCF-A类会议(含ECCV)和IEEE Trans期刊23篇,第一作者和通讯作者16篇,Google引用次数超过1900次(截至2023年10月31日)。申明专利20余项,主持国家自然科学基金青年基金1项和中央高校基本科研业务费专项资助项目1项,参与国家自然科学基金重点项目、面上项目以及多个企业横向合作项目。

教育背景

  • 2014年—2019年 中国科学技术大学信息科学技术学院,控制科学与工程专业,博士

  • 2017年—2018年 香港中文大学信息工程系,MMLab,Research Assistant

  • 2010年—2014年 中国科学技术大学信息科学技术学院,自动化专业,学士

工作经历

  • 2021年至今    北京师范大学人工智能学院   讲师

  • 2019年—2021年  中国科学院自动化研究所   博士后

主持和参加的科研项目

  • 1. 国家自然科学基金委员会青年项目,基于自监督学习的步态识别泛化能力研究,2023-01-01 至 2025-12-31,主持。

  • 2. 中央高校基本科研业务费专项资助项目,基于剪影集合的步态识别可解释性研究,2021-10-01 至 2023-9-30,主持。

  • 3. 国家自然科学基金委员会面上项目,无人机视角步态识别研究,2023-01-01 至 2026-12-31,参与。

主要学术成果

代表性会议论文(截至2023年10月31日)

  • [1]  Yang Fu, Shibei Meng, Saihui Hou#, Xuecai Hu, Yongzhen Huang# , GPGait: Generalized Pose-based Gait Recognition, in IEEE Conference on Computer Vision (ICCV), 2023. (CCF A类,计算机视觉顶级会议,共同通讯)

  • [2]  Weijia Li*, Saihui Hou*, Chunjie Zhang, Chunshui Cao, Xu Liu, Yongzhen Huang, Yao Zhao, An In-depth Exploration of Person Re-identification And Gait Recognition in Cloth-Changing Conditions, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023. (CCF A类,计算机视觉顶级会议,共同一作)

  • [3]  Chao Fan, Junhao Liang, Chuanfu Shen, Saihui Hou, Yongzhen Huang, Shiqi Yu, OpenGait: Revisiting Gait Recognition Toward Better Practicality, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.(CCF A类,计算机视觉顶级会议,3 Strong Accept)

  • [4] Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Liang Wang, Causal Intervention for Sparse-View Gait Recognition, ACM International Conference on Multimedia (ACM MM), 2023.(CCF A类,计算机视觉顶级会议)

  • [5]  Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Shibiao Xu, LandmarkGait: Intrinsic Human Parsing for Gait Recognition, ACM International Conference on Multimedia (ACM MM), 2023.(CCF A类,计算机视觉顶级会议)

  • [6]  Junhao Liang, Chao Fan, Saihui Hou, Chuanfu Shen, Yongzhen Huang, and Shiqi Yu. Gaitedge: Beyond plain end-to-end gait recognition for better practicality. In in European Conference on Computer Vision (ECCV) 2022. (CCF B类,计算机视觉顶级会议)

  • [7]  Saihui Hou, Chunshui Cao, Xu Liu, and Yongzhen Huang, Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition, in European Conference on Computer Vision (ECCV) 2020. (CCF B类,计算机视觉顶级会议)

  • [8]  Chao Fan, Yunjie Peng, Chunshui Cao, Xu Liu, Saihui Hou, Jiannan Chi, Yongzhen Huang, Qing Li, and Zhiqiang He, GaitPart: Temporal Part-Based Model for Gait Recognition, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. (CCF A类,计算机视觉顶级会议)

  • [9]  Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin, Learning a Unified Classifier Incrementally via Rebalancing, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019. (CCF A类,计算机视觉顶级会议)

  • [10] Saihui Hou, and Zilei Wang, Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network, in AAAI Conference on Artificial Intelligence (AAAI) 2019. (CCF A类,人工智能顶级会议)

  • [11] Saihui Hou, Xinyu Pan, Chen Change Loy, Zilei Wang, and Dahua Lin, Lifelong Learning via Progressive Distillation and Retrospection, in European Conference on Computer Vision (ECCV) 2018. (CCF B类,计算机视觉顶级会议)

  • [12]  Jiafan Zhuang, Saihui Hou, Zilei Wang, and Zheng-Jun Zha, Towards Human-Level License Plate Recognition, in European Conference on Computer Vision (ECCV) 2018. (CCF B类,计算机视觉顶级会议)

  • [13] Saihui Hou, Xu Liu and Zilei Wang, DualNet: Learn Complementary Features for Image Recognition, in IEEE Conference on Computer Vision (ICCV), 2017. (CCF A类,计算机视觉顶级会议)

  • [14]  Saihui Hou, Yushan Feng and Zilei Wang, VegFru: A Domain-Specific Dataset for Fine-grained Visual Categorization, in IEEE Conference on Computer Vision (ICCV), 2017. (CCF A类,计算机视觉顶级会议)

    代表性期刊论文(截至2023年10月31日)

  • [1]  Chao Fan, Saihui Hou, Jilong Wang, Yongzhen Huang, and Shiqi Yu, Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (IEEE Trans系列,CCF A类,SCI一区)

  • [2]  Yu Guo, Yu Zhao, Saihui Hou, Cong Wang, and Xiaohua Jia, Verifying in the Dark: Verifiable Machine Unlearning by Using Invisible Backdoor Triggers, in IEEE Transactions on Information Forensics and Security (TIFS), 2023. (IEEE Trans系列,CCF A类,SCI一区,通讯作者)

  • [3]  Xu Song, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Caifeng Shan, Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes from Human Gait Patterns, in IEEE Transactions on Information Forensics and Security (TIFS), 2023. (IEEE Trans系列,CCF A类,SCI一区)

  • [4]  Aoqi Li, Saihui Hou#, Qingyuan Cai, Yang Fu, and Yongzhen Huang#, Gait Recognition with Drones: A Benchmark, in IEEE Transactions on Multimedia (TMM), 2023. (IEEE Trans系列,CCF B类,SCI一区,共同通讯)

  • [5]  Zengbin Wang, Saihui Hou, Man Zhang , Xu Liu, Chunshui Cao, Yongzhen Huang,GaitParsing: Human Semantic Parsing for Gait Recognition, in IEEE Transactions on Multimedia (TMM), 2023. (IEEE Trans系列,CCF B类,SCI一区)

  • [6]  Saihui Hou, Chao Fan, Chunshui Cao, Xu Liu, Yongzhen Huang, A Comprehensive Study on the Evaluation of Silhouette-based Gait Recognition, in IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) 2022. (IEEE Trans系列,生物特征识别顶级期刊)

  • [7]  Saihui Hou, Xu Liu, Chunshui Cao, and Yongzhen Huang, Gait Quality Aware Network: Towards the Interpretability of Silhouette-based Gait Recognition, in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.(IEEE Trans系列,CCF-B类,SCI一区,人工智能顶级期刊)

  • [8]  Saihui Hou, Xu Liu, Chunshui Cao, and Yongzhen Huang, Set Residual Network for Silhouette-based Gait Recognition, in IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM) 2021.(IEEE Trans系列,生物特征识别顶级期刊)

  • [9]  Zilei Wang, Dao Xiang, Saihui Hou, and Feng Wu, Background Driven Salient Object Detection, in IEEE Transactions on Multimedia (TMM), 2016. (IEEE Trans系列,CCF B类,SCI一区)

奖励与荣誉

  • 1. 2022年,入选北京市科协青年人才托举工程

  • 2. 2019年,获中国科学院院长奖优秀奖

  • 3. 2019年,获中国科学技术大学优秀博士论文

  • 4. 2016年,获研究生国家奖学金 (Top 5%)

  • 5. 2014年,获中国科学技术大学优秀毕业生

  • 6. 2013年,获本科生国家奖学金 (Top 5%)

学术与社会服务

  • 1. 中国图象图形学学会机器视觉专委会委员

  • 2. 为TPAMI、IJCV、TIP以及CVPR、ICCV、ECCV等多个顶级期刊和会议审稿

招生说明

  • 每年招收1-2名硕士研究生,欢迎符合以下条件的同学报考。

    a) 对计算机视觉感兴趣,有明确的目标和规划,对自己有清楚的认识。

    b) 有好奇心和求知欲,富于探索精神,碰到挫折能够以正确的心态面对。

    c) 有扎实的英语、数学和编程基础,至少熟练掌握一门编程语言。