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

Xiaowei Hu is 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, he received the B. Eng. degree from the School of Computer Science and Engineering, South China University of Technology (SCUT) in 2016. He worked with Prof. Xuemiao Xu for undergraduate research.

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.

Publications

Google Scholar

• 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), accepted, 2020.
  [arXiv]

• 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), accepted, 2020.
  [paper]

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

• 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]

• 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), accepted, 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), 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]

• 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), accepted, 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), 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]

• 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]

• 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]