Xiaowei Hu 胡枭玮 Postdoctoral Fellow Rm 1024, Ho Sin-Hang Engineering Building, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong. Email: xwhu@cse.cuhk.edu.hk [Curriculum Vitae]

Biography

Xiaowei Hu received his Ph.D. degree in Computer Science and Engineering from The Chinese University of Hong Kong (CUHK) in 2020, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Before that, he received the B. Eng. degree in Computer Science and Technology from South China University of Technology (SCUT) in 2016, under the supervision of Prof. Xuemiao Xu. He is currently working as a postdoctoral fellow in the Chinese University of Hong Kong.

His research interests cover computer vision and deep learning, with special emphasis on low-level vision. Specifically, he is dedicated to designing learning frameworks by exploring the physical properties of various vision applications, including shadow image analysis, rain removal, and saliency detection. He is also interested in exploring robust learning algorithms with less human supervision for image recognition and restoration, which helps to improve scene understanding and enhance camera capability.

News

[06/2020] Passed the oral defense and became a Dr.
[06/2020] Doctoral Consortium Award of CVPR 2020 (Mentor: Michael S. Brown) [link]
[02/2020] One paper accepted to CVPR 2020
[10/2019] Best Oral Presentation Award of Hong Kong Computer Vision Workshop 2019
[09/2019] Outstanding Reviewer of ICCV 2019
[07/2019] Two papers accepted to ICCV 2019
[05/2019] One paper accepted to IEEE TPAMI
[02/2019] One paper accepted to CVPR 2019
[07/2018] One paper accepted to ECCV 2018
[02/2018] One paper accepted to CVPR 2018 (Oral)

Publications [Google Scholar]

Summary: TPAMI, CVPR, ICCV & ECCV (7), IEEE Transactions (10).

2020

• Instance Shadow Detection
  Tianyu Wang^, Xiaowei Hu^, Qiong Wang, Pheng-Ann Heng, and Chi-Wing Fu. (^ joint first authors)
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1880-1889, 2020.
  [paper] [arXiv] [code] [SOBA dataset] [results]

• SAC-Net: Spatial Attenuation Context for Salient Object Detection
  Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Tianyu Wang, and Pheng-Ann Heng.
  IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), accepted, 2020.
  [paper] [arXiv] [supp.] [code] [results]

• Saliency-Aware Texture Smoothing
  Lei Zhu^, Xiaowei Hu^, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng. (^ joint first authors)
  IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), vol. 26, no. 7, pp. 2471-2484, 2020.
  [paper] [code] [SDTS dataset]

• Ψ-Net: Stacking Densely Convolutional LSTMs for Sub-cortical Brain Structure Segmentation
  Lihao Liu^, Xiaowei Hu^, Lei Zhu, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng. (^ joint first authors)
  IEEE Transactions on Medical Imaging (IEEE TMI), vol. 39, no. 9, pp. 2806-2817, 2020.
  [paper]

• CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
  Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, and Pheng-Ann Heng.
  IEEE Transactions on Medical Imaging (IEEE TMI), vol. 39, no. 5, pp. 1483-1493, 2020.
  [paper] [code]

• GrabAR: Occlusion-aware Grabbing Virtual Objects in AR
  Xiao Tang, Xiaowei Hu, Chi-Wing Fu, and Daniel Cohen-Or.
  ACM Symposium on User Interface Software and Technology (UIST), accepted, 2020.
  [arXiv] [project]

• SALMNet: A Structure-Aware Lane Marking Detection Network
  Xuemiao Xu, Tianfei Yu, Xiaowei Hu, Wing W. Y. Ng, and Pheng-Ann Heng.
  IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), accepted, 2020.
  [paper]

• Learning Gated Non-Local Residual for Single-Image Rain Streak Removal
  Lei Zhu, Zijun Deng, Xiaowei Hu, Haoran Xie, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng.
  IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), accepted, 2020.
  [paper]

2019

• Direction-Aware Spatial Context Features for Shadow Detection and Removal
  Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin, and Pheng-Ann Heng.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), accepted, 2019.
  [paper] [arXiv] [supp.] [code]

• Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
  Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, and Pheng-Ann Heng.
  IEEE International Conference on Computer Vision (ICCV), pp. 2472-2481, 2019.
  [paper] [arXiv] [code] [USR dataset] [poster]

• Deep Multi-Model Fusion for Single-Image Dehazing
  Zijun Deng, Lei Zhu, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Qing Zhang, Jing Qin, and Pheng-Ann Heng.
  IEEE International Conference on Computer Vision (ICCV), pp. 2453-2462, 2019.
  [paper]

• Depth-Attentional Features for Single-Image Rain Removal
  Xiaowei Hu, Chi-Wing Fu, Lei Zhu, and Pheng-Ann Heng.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8022-8031, 2019.
  [paper] [supp.] [code] [RainCityscapes dataset] [poster]

• SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection
  Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, and Pheng-Ann Heng.
  IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), vol. 20, no. 3, pp. 1010-1019, 2019.
  [paper] [arXiv] [code] [LSVH dataset (Google)] [LSVH dataset (Baidu)]

• Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
  Lihao Liu, Xiaowei Hu, Lei Zhu, and Pheng-Ann Heng.
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 346-354, 2019.
  [paper] [arXiv] [code]

• Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
  Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, and Dong Ni.
  IEEE Transactions on Medical Imaging (IEEE TMI), vol. 38, no. 12, pp. 2768-2778, 2019.
  [paper] [arXiv] [code]

• Aggregating Attentional Dilated Features for Salient Object Detection
  Lei Zhu, Jiaxing Chen, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng.
  IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), accepted, 2019.
  [paper] [code] [results]

• Enhancing Augmented VR Interaction via Egocentric Scene Analysis
  Yang Tian, Chi-Wing Fu, Shengdong Zhao, Ruihui Li, Xiao Tang, Xiaowei Hu, and Pheng-Ann Heng.
  Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp),
  vol. 3, no. 3, article no. 105, 2019.
  [paper]

• CATARACTS: Challenge on Automatic Tool Annotation for cataRACT Surgery
  Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, et al.
  Medical Image Analysis (MedIA), vol. 52, pp. 24-41, 2019.
  [paper]

2018

• Direction-Aware Spatial Context Features for Shadow Detection
  Xiaowei Hu, Lei Zhu, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7454-7462, 2018. (Oral)
  [paper] [arXiv] [supp.] [code] [results] [poster] [slides] [video]

• Recurrently Aggregating Deep Features for Salient Object Detection
  Xiaowei Hu, Lei Zhu, Jing Qin, Chi-Wing Fu, and Pheng-Ann Heng.
  AAAI Conference on Artificial Intelligence (AAAI), pp. 6943-6950, 2018. (Spotlight)
  [paper] [supp.] [code] [results] [poster]

• R³Net: Recurrent Residual Refinement Network for Saliency Detection
  Zijun Deng^, Xiaowei Hu^, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, and Pheng-Ann Heng. (^ joint first authors)
  International Joint Conference on Artificial Intelligence (IJCAI), pp. 684-690, 2018. (Oral)
  [paper] [code] [results] [poster] [slides]

• Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection
  Lei Zhu, Zijun Deng, Xiaowei Hu, Chi-Wing Fu, Xuemiao Xu, Jing Qin, and Pheng-Ann Heng.
  European Conference on Computer Vision (ECCV), pp. 122-137, 2018.
  [paper] [code] [poster]

• Deep Attentional Features for Prostate Segmentation in Ultrasound
  Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, and Dong Ni.
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 523-530, 2018.
  [paper] [code]

2017

• AGNet: Attention-Guided Network for Surgical Tool Presence Detection
  Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, and Pheng-Ann Heng.
  Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp. 186-194, 2017.
  [paper] [code]

Manuscript

• Revisiting Shadow Detection: A New Benchmark Dataset for Complex World
  Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, and Pheng-Ann Heng.
  Tech report, arXiv, November, 2019.
  [arXiv] [evaluation function] [code]

Honors & Awards

• Hong Kong Ph.D. Fellowship (the highest scholarship for students studying in Hong Kong)
  2016-2020
• CVPR Doctoral Consortium Award (31 awardees globally)
  2020
• Best Oral Presentation Award of Hong Kong Computer Vision Workshop (the only winner)
  2019
• ICCV Outstanding Reviewer Award (top 3.6%)
  2019
• Excellent Teaching Assistant at CSE Department, CUHK
  2018
• Top 10 Outstanding Students at SCUT (rank 1st, the highest award for students at SCUT)
  2016
• Gold Award of Pan-Pearl-River-Delta University IT Project Competition in China
  2016
• Google Excellence Scholarship (one of 58 winners in China)
  2015
• Tencent Outstanding Scholarship (the only undergraduate winner at SCUT)
  2015
• National Scholarship (the highest national wide scholarship for undergraduate students in China)
  2013
• First Prize of Adolescents Science & Technology Innovation Contest in Hebei Province
  2011

Teaching and Supervision

• Teaching Assistant at CUHK
  

  Advanced Topics in Computer Graphics and Visualization (Excellent Teaching Assistant), Spring 2018.
  Digital Logic and Systems, Fall 2016-2018.
  Linear Algebra and Vector Calculus for Engineers, Spring 2017.

• Supervision
  

  Supervise junior Ph.D. (Tianyu Wang and Xiao Tang), M.Phil. (Zijun Deng, Lihao Liu, and Tianfei Yu), and undergraduate (Yitong Jiang) students to publish research papers on top-tier conferences and journals.

Professional Activities

• Invited Talks
  

  • Peng Cheng Laboratory Overseas Young Scientist Forum, "Shadow Detection and Removal with Deep Learning", July 2020.
    

  • Talk at Shantou University, "Deep Learning for Shadow Detection and Removal", December 2019.
    

  • Hong Kong Computer Vision Workshop, "Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data" (Best Oral Presentation Award), October 2019.
    

  • AI Massive Open Online Course, "Direction-Aware Spatial Context Features for Shadow Detection", July 2018.
    [video link1] [video link2] [report]

• Conference Reviews
  

  AAAI'21, ECCV'20, CVPR'20, AAAI'20, PG'20, MICCAI'20, ICCV'19 (Outstanding Reviewer), CVPR'19, MICCAI'19.

• Journal Reviews
  

  IJCV, IEEE TIP, IEEE TMM, IEEE TITS, IEEE TMI, IEEE TCSVT, IEEE TVT, Neurocomputing, JMLC, CUIV, The Visual Computer, Computers & Graphics, IEEE CG&A, IEEE Access.

• Reading List on Deep Learning [link]

• My Undergraduate Experiences (Chinese)
  

  Report 1, Report 2, Report 3, Report 4, Report 5

© Xiaowei Hu | Last updated: Sep. 2020.