Xiaowei Hu胡枭玮Ph.D. Student
Rm 1024, Ho Sin-Hang Engineering Building, |
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I am currently a third 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 include computer vision, image processing, low-level vision, and deep learning.
News
[05/2019] One paper accepted to IEEE TPAMI
[02/2019] One paper accepted to CVPR 2019
[12/2018] One paper accepted to IEEE TVCG
[07/2018] One paper accepted to ECCV 2018
[05/2018] One paper accepted to IEEE TITS
[04/2018] Two papers accepted to IJCAI 2018 and MICCAI 2018, respectively
[03/2018] The CVPR paper selected as the Oral presentation [video]
[02/2018] One paper accepted to CVPR 2018
Publications
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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] -
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, and Pheng-Ann Heng
Tech report, arXiv, March, 2019
[arXiv] -
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] [dataset TBD] [poster] -
Saliency-Aware Texture Smoothing
Lei Zhu^, Xiaowei Hu^, Chi-Wing Fu, Jing Qin, and Pheng-Ann Heng (^ joint 1st authors)
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
[paper] [code] [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] [dataset] -
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
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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] -
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 1st 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
- Certificate of Merit for Excellent Teaching Assistant awarded by CSE Department, CUHK, 2018
- Top 10 Outstanding Students at SCUT (rank 1st, the highest award for students at SCUT), 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
- Gold Award of Pan-Pearl-River-Delta University IT Project Competition in China, 2016
- First Prize and Best Practical Award of University IT Project Competition in Guangdong Province, 2016
- First Prize of Adolescents Science & Technology Innovation Contest in Hebei Province, 2011
Professional Activities
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Invited Talk
AI Massive Open Online Course on "Direction-aware Spatial Context Features for Shadow Detection" (Chinese), July 2018
[video link1] [video link2] [report] -
Conference Reviews
CVPR 2019, ICCV 2019, MICCAI 2019
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Journal Reviews
Neurocomputing, The Visual Computer, IEEE Access
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Teaching Assistant at CUHK
Advanced Topics in Computer Graphics and Visualization, Spring 2018
Digital Logic and Systems, Fall 2016-2018
Linear Algebra and Vector Calculus for Engineers, Spring 2017 -
Reading List on Deep Learning [link]
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My Undergraduate Experiences (Chinese)