Xinggang Wang

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Wenyu LiuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Xiang BaiHuazhong University of Science and Technology (HUST)Verified email at hust.edu.cn
Peng TangAmazon AWS AIVerified email at amazon.com
Cong YaoAlibaba DAMO AcademyVerified email at temple.edu
Chang HuangHorizon Robotics Inc.Verified email at horizon-robotics.com
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoVerified email at ucsd.edu
Lichao HuangSenior Engineer, Horizon Robotics IncVerified email at horizon.ai
LONGIN JAN LATECKIProfessor of Computer Science, Temple University, PhiladelphiaVerified email at temple.edu
Baoguang ShiMicrosoft Cloud & AIVerified email at microsoft.com
Qian ZhangHorizon RoboticsVerified email at horizon.ai
Zilong HuangTencentVerified email at tencent.com
Qiang Zhouhust.edu.cn; bytedance.comVerified email at hust.edu.cn
Jiemin FangHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Song BaiByteDance AI Lab, SingaporeVerified email at robots.ox.ac.uk
Yunchao WeiUTS | UIUC | NUS | BJTUVerified email at uts.edu.au
Wei Shen (沈为)Associate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Jingdong Wang (王井东)AI Group, BaiduVerified email at baidu.com
Tianheng ChengHuazhong University of Science and TechnologyVerified email at hust.edu.cn
yongluan yanmaster student, Huazhong University of Science and technologyVerified email at hust.edu.cn
Wenjun Zeng, Ph.D., IEEE FellowSr. Principal Research Manager, Microsoft Research AsiaVerified email at microsoft.com

Xinggang Wang

Associate Professor in Huazhong University of Science and Technology

Verified email at hust.edu.cn - Homepage

Computer Vision Deep Learning Object Recognition Object Detection Object Segmentation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Ccnet: Criss-cross attention for semantic segmentation Z Huang, X Wang, L Huang, C Huang, Y Wei, W Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020	704	2020
Textboxes: A fast text detector with a single deep neural network M Liao, B Shi, X Bai, X Wang, W Liu Thirty-first AAAI conference on artificial intelligence, 2017	573	2017
A weakly-supervised framework for COVID-19 classification and lesion localization from chest CT X Wang, X Deng, Q Fu, Q Zhou, J Feng, H Ma, W Liu, C Zheng IEEE transactions on medical imaging 39 (8), 2615-2625, 2020	552*	2020
Deep high-resolution representation learning for visual recognition J Wang, K Sun, T Cheng, B Jiang, C Deng, Y Zhao, D Liu, Y Mu, M Tan, ... IEEE transactions on pattern analysis and machine intelligence, 2020	541	2020
Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection W Shen, X Wang, Y Wang, X Bai, Z Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2015	456	2015
Robust scene text recognition with automatic rectification B Shi, X Wang, P Lyu, C Yao, X Bai Proceedings of the IEEE conference on computer vision and pattern …, 2016	402	2016
Mask scoring r-cnn Z Huang, L Huang, Y Gong, C Huang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	365	2019
Aster: An attentional scene text recognizer with flexible rectification B Shi, M Yang, X Wang, P Lyu, C Yao, X Bai IEEE transactions on pattern analysis and machine intelligence 41 (9), 2035-2048, 2018	314	2018
High-resolution representations for labeling pixels and regions K Sun, Y Zhao, B Jiang, T Cheng, B Xiao, D Liu, Y Mu, X Wang, W Liu, ... arXiv preprint arXiv:1904.04514, 2019	281	2019
Mancs: A multi-task attentional network with curriculum sampling for person re-identification C Wang, Q Zhang, C Huang, W Liu, X Wang Proceedings of the European Conference on Computer Vision (ECCV), 365-381, 2018	268	2018
Weakly-supervised semantic segmentation network with deep seeded region growing Z Huang, X Wang, J Wang, W Liu, J Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	265	2018
Multiple instance detection network with online instance classifier refinement P Tang, X Wang, X Bai, W Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	254	2017
Revisiting multiple instance neural networks X Wang, Y Yan, P Tang, X Bai, W Liu Pattern Recognition 74, 15-24, 2018	190	2018
Co-transduction for shape retrieval X Bai, B Wang, X Wang, W Liu, Z Tu Computer Vision–ECCV 2010, 328-341, 2010	169	2010
Pcl: Proposal cluster learning for weakly supervised object detection P Tang, X Wang, S Bai, W Shen, X Bai, W Liu, A Yuille IEEE transactions on pattern analysis and machine intelligence 42 (1), 176-191, 2018	168	2018
Bag of contour fragments for robust shape classification X Wang, B Feng, X Bai, W Liu, LJ Latecki Pattern Recognition 47 (6), 2116-2125, 2014	168	2014
Unsupervised domain adaptive re-identification: Theory and practice L Song, C Wang, L Zhang, B Du, Q Zhang, C Huang, X Wang Pattern Recognition 102, 107173, 2020	166	2020
Traffic sign detection and recognition using fully convolutional network guided proposals Y Zhu, C Zhang, D Zhou, X Wang, X Bai, W Liu Neurocomputing 214, 758-766, 2016	163	2016
Deep learning representation using autoencoder for 3D shape retrieval Z Zhu, X Wang, S Bai, C Yao, X Bai Neurocomputing 204, 41-50, 2016	156	2016
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Y Zhang, C Wang, X Wang, Z Wenjun, L Wenyu arXiv preprint arXiv:2004.01888v5, 2020	136*	2020

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