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Xinggang Wang
Associate Professor
Artificial Intelligence Institute
School of Electronic Information and Communications
Huazhong University of Science and Technology
Email: xgwang # hust.edu.cn
Address: Room E428-504, Nan-1 Hall, Luoyu Rd 1037, Wuhan, 430074, China
HUST faculty homepage: http://faculty.hust.edu.cn/xwang/en/index.htm
Research interests: computer vision and machine learning, especially, data/label- and computation-efficient deep learning for visual recognition
News
[2021/04] Invited as an Area Chair for CVPR 2022.
[2020/12] "FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search", is published in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 17.861).
[2020/12] I will serve as a Senior Program Committee (SPC) Member in IJCAI 2021.
[2020/08] I will serve as a Senior Program Committee (SPC) Member in AAAI 2021.
[2020/07] "Boundary-preserving Mask R-CNN" has been accepted for publication at ECCV 2020.
[2020/07] "CCNet: Criss-Cross Attention for Semantic Segmentation", is published in IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 17.861).
[2020/06] "A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT", is published in IEEE Transactions on Medical Imaging.
[2020/02] DenseNAS is accepted in CVPR 2020, code.
[2019/06] "New SOTA on Instance Segmentation: Mask Scoring R-CNN Tops Mask R-CNN on COCO", in Medium
[2019/03] Three papers have been accepted by CVPR 2019!
[2019/01] EAT-NAS by Jiemin et al obtains 73.8% accuracy on ImageNet by taking less than 5 days on 8 TITAN X GPUs. Its technical report is available in arxiv.
[2019/01] One paper on weakly-supervised medical image segmentation has been accepted in Medical Image Analysis, and the code is available in github.
[2018/11] One paper on video object detection has been accepted in AAAI 2019. Congratulations to Hao!
[2018/10] One paper on weakly-supervised object detection has been accepted in IEEE TPAMI. Congratulations to Peng!.
[2018/07] Two papers on weakly-supervised object detection and person re-ID have been accepted in ECCV 2018. Congratulations to Peng & Cheng!
[2017/07] The source code of the Deep Patch Learning paper accepted by Pattern Recognition Journal, state-of-the-art performance on PASCAL VOC image classification (using single model), is available. Code.
[2017/02] The source code of the OICR paper accepted by CVPR 2017, state-of-the-art performance on weakly-supervised object detection, is available. Code.
Academic Activities
Area Chair: CVPR 2022
Associate Editor/Editorial Board Member: Pattern Recognition (PR, IF 7.196), since 2021; Image and Vision Computing (IMAVIS, IF 3.103), since 2020; Electronics (Artificial Intelligence Section, IF 2.412), since 2021.
Reviewer for the following journals/institutes/conferences: IEEE TPAMI, JMLR, Pattern Recognition, IEEE T. Cybernetics, IEEE TIP, IEEE TMM, IEEE TCSVT, IVC, IEEE TITS, CVIU, Neurocomputing, Scientific Reports, NeurIPS, ICDM, ICCV, ECCV, CVPR, ICME, ICIP, ICPR, AISTATS, ICML, ICLR.
Website chair of VALSE 2016 / Website chair of IEEE SIDAS 2016 / Website chair of IEEE CAS conference on intelligent media computing
VALSE VOOC, Member of CSIG, Member of CCF, Member of IEEE
Talks
"Proposal Tracking and Segmentation (PTS): A cascaded network for video object segmentation", in the 1st Large-scale Video Object Segmentation Challenge Workshop in conjunction with ECCV2018, Munich, Germany. Sep. 2018. Slides
"Weakly and deeply supervised visual learning", in CSIG Young Scientists' Forum, Lanzhou, China. Aug. 2018. Slides
"Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing", in the first VALSE Workshop on Pixel Level Image Understanding (PLIU), Dalian, China. Apr. 2018. Slides
Competitions
2nd Place in the 1st Large-scale Video Object Segmentation Challenge Workshop in conjunction with ECCV 2018, Munich, Germany. Sep. 2018. Certificate
3rd Place in International Contest on Object Detection hosted by ICPR 2018, Beijing, China. Aug. 2018. Certificate
Awards
Excellent Award of CCF-Tencent Research Fund
Outstanding reviewers of the Pattern Recognition journal, the Nurocomputing journal, the Pattern Recognition Letter journal, 2017
Excellent Ph.D. Thesis Award Nomination, China Education Society OF Electronics，CESE, 2017
Excellent Ph.D. Thesis Award, Hubei Province, 2016
Microsoft Research Asia Fellowship Award , 2012 [more information]
National PhD Fellowship, Huazhong University of Science and Technology, 2012
Short Bio
He completed his Ph.D. and B.E. in Huazhong University of Science and Technology in 2014 and 2009 respectively. His Ph.D. supervisors were Prof. Wenyu Liu and Prof. Xiang Bai.During his Ph.D. period, he visited UCLA and Temple University where he was supervised by Prof. Alan Yuille and Prof. Longin Latecki, respectively. He also worked in the visual computing group in Microsoft Research Asia as an intern, supervised by Prof. Zhuowen Tu and collaborated with Prof. Yi Ma.

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