Name: Xinggang Wang
Academic Title: Associate Professor
Email: xgwang@hust.edu.cn
Research Interests:Computer Vision and Deep Learning
Education:
Ph.D. (2009 - 2014) Huazhong University of Science and Technology;
B.S. (2005 - 2009) Huazhong University of Science and Technology
Employment and Work Experience:
Visiting Scholar (2010-2011) Temple University
Research Intern (2011-2012) Microsoft Research Asia (MSRA)
Visiting Graduate Scholar (2012) University of California Los Angeles (UCLA)
Assistant Professor (2014-2017) Huazhong University of Science and Technology
Associate Professor (2014-2017) Huazhong University of Science and Technology
Teaching:
Data Structure
Computer Vision
Selected Publications:
1.Zilong Huang, Yunchao Wei, Xinggang Wang*, Wenyu Liu, Thomas S. Huang, Honghui Shi.AlignSeg: Feature-Aligned Segmentation Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021 Mar 1; doi: 10.1109/TPAMI.2021.3062772.pdf,code,bib
2.Jiemin Fang#, Yuzhu Sun#, Qian Zhang, Kangjian Peng, Yuan Li, Wenyu Liu, Xinggang Wang*.FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)，2020, doi: 10.1109/TPAMI.2020.3044416.pdf,code,bib
3.Zilong Huang#, Xinggang Wang#*, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas Huang.CCNet: Criss-Cross Attention for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020, doi: 10.1109/TPAMI.2020.3007032.pdf,code,bib
4.Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu*, Wenjun Zeng, Jingdong Wang.Object Detection in Videos by High Quality Object Linking. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 42, no. 5, pp. 1272-1278, 1 May 2020, doi: 10.1109/TPAMI.2019.2910529.pdf,bib
5.Peng Tang, Xinggang Wang*, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille.PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 42, no. 1, pp. 176-191, 1 Jan. 2020, doi: 10.1109/TPAMI.2018.2876304.pdf,code,bib
6.Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu.Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images.CVPR2021.pdf,code.
7.Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang*.Human De-occlusion: Invisible Perception and Recovery for Humans.CVPR2021.pdf,dataset.
8.Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu.Boundary-preserving Mask R-CNN.ECCV, 2020.pdf,code,bib
9.Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang.Densely Connected Search Space for More Flexible Neural Architecture Search.CVPR, 2020.pdf,code,bib
10.Xinggang Wang#, Xianbo Deng#, Qing Fu#, Qiang Zhou#, Jiapei Feng, Hui Ma, Wenyu Liu, Chuansheng Zheng.A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT. IEEE Transactions on Medical Imaging (IEEE TMI), vol. 39, no. 8, pp. 2615-2625, Aug. 2020, doi: 10.1109/TMI.2020.2995965.pdf,code,bib
Scientific Research Projects:
NSFC 61876212,NSFC 61503145
Awards and Honors:
Microsoft Research Asia Fellowship (2012); Young Elite Scientists Sponsorship Program by CAST (2015); The Second Prize of Hubei Natural Science Award (2017)
