Welcome to Saihui Hou’s Homepage (侯赛辉)

I received my B.E. and Ph.D. degrees from from Department of Automation, University of Science and Technology of China (USTC) in 2014 and 2019. My research is around machine learning and computer vision.

Experience

• 2019.07-2021.09 Institute of Automation, Chinese Academy of Sciences, Postdoc

• 2014.09-2019.06 Department of Automation, University of Science and Technology of China, Ph.D.

• 2017.09-2018.04, Department of Information Engineering, The Chinese University of Hong Kong, Research Assistant

• 2010.09–2014.06, Department of Automation, University of Science and Technology of China, B.E.

Research Interests

• Gait Recognition

• Incremental Learning

• Image recognition

• Fine-grained Visual Categorization

Selected Publications

• Please [View My Google Scholar] for Full Paper List.

• 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.

• 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.

• 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.

• 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.

• Saihui Hou, and Zilei Wang, Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network, in AAAI Conference on Artificial Intelligence (AAAI), 2019.

• 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.

• Saihui Hou, Zilei Wang, and Feng Wu, Object Detection via Deeply Exploiting Depth Information, in Neurocomputing, 2018.

• Saihui Hou, Xu Liu and Zilei Wang, DualNet: Learn Complementary Features for Image Recognition, in IEEE Conference on Computer Vision (ICCV), 2017.

• 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.

• Saihui Hou, Zilei Wang, and Feng Wu, Deeply Exploit Depth Information for Object Detection, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2016.

Honors&Awards

• 10/2019 President Scholarship of Chinese Academy of Sciences

• 06/2019 Excellent Doctoral Dissertation of USTC

• 10/2018 Huayu Scholarship

• 10/2016 National Scholarship for Graduate Students (Top 5%)

• 06/2014 Outstanding Graduate Honor

• 10/2013 National Scholarship for Undergraduate Students (Top 5%)

• 10/2012 Industrial Bank’s Scholarship

Contact Information

• Email：hshvim@live.com