Xiaowei Hu 胡枭玮 Ph.D. Student 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

I am currently a fourth-year Ph.D. student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Before that, I received the B. Eng. degree from the School of Computer Science and Engineering, South China University of Technology (SCUT) in 2016. I worked with Prof. Xuemiao Xu for undergraduate research.

My research interests cover computer vision and deep learning, with special emphasis on low-level vision. Specifically, I am dedicated to designing learning frameworks by exploring the physical properties of various vision applications, including shadow image analysis, rain removal, and saliency detection. I am 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.

Publications

Google Scholar

• GrabAR: Occlusion-aware Grabbing Virtual Objects in AR
  Xiao Tang, Xiaowei Hu, Chi-Wing Fu, and Daniel Cohen-Or.
  Tech report, arXiv, December, 2019.
  [arXiv]

• 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]

• Instance Shadow Detection
  Tianyu Wang^, Xiaowei Hu^, Qiong Wang, Pheng-Ann Heng, and Chi-Wing Fu. (^ joint first authors)
  Tech report, arXiv, November, 2019.
  [arXiv]

• 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), 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), 2019.
  [paper]

• 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), 2019.
  [paper] [arXiv] [supp.] [code]

• SAC-Net: Spatial Attenuation Context for Salient Object Detection
  Xiaowei Hu, Chi-Wing Fu, Lei Zhu, and Pheng-Ann Heng.
  Tech report, arXiv, March, 2019.
  [arXiv]

• 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), 2019.
  [paper] [supp.] [code] [RainCityscapes dataset] [poster]

• 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), 2019.
  [paper] [code] [SDTS dataset]

• 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), 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), 2019.
  [paper] [arXiv] [code]

• 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), 2019.
  [paper] [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), 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), 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), 2019.
  [paper]

• 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), 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), 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), 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), 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), 2018.
  [paper] [code]

• 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, 2017.
  [paper] [code]

Honors & Awards

• Hong Kong Ph.D. Fellowship (the highest scholarship for students studying in Hong Kong)
  2016-2020
• 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
  

  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" (Chinese), July 2018.
  [video link1] [video link2] [report]

• Conference Services
  

  Programme Committee: AAAI 2020
  Reviewer: ECCV 2020, CVPR 2020, ICCV 2019 (Outstanding Reviewer), CVPR 2019, MICCAI 2019

• Journal Reviews
  

  IEEE TCSVT, Neurocomputing, The Visual Computer, 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: Jan. 2020.