Dahua Lin

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Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Chen Change LoyMMLab@NTU, S-Lab, Nanyang Technological UniversityVerified email at ntu.edu.sg
Yuanjun XiongAmazon Web ServicesVerified email at amazon.com
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
Kai ChenSenseTime ResearchVerified email at sensetime.com
Bo DaiNanyang Technological UniversityVerified email at ntu.edu.sg
Ziwei LiuAssistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Limin WangNanjing UniversityVerified email at nju.edu.cn
Yue ZhaoUniversity of Texas at AustinVerified email at cs.utexas.edu
Jiangmiao Pang (庞江淼)MMLab@CUHKVerified email at ie.cuhk.edu.hk
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Yu Xiong (熊宇)The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
Qingqiu HuangPhD student of MMLab, CUHKVerified email at ie.cuhk.edu.hk
Wanli Ouyang (欧阳万里)The University of SydneyVerified email at sydney.edu.au
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Yu QiaoProfessor of Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn
Xinge Zhuthe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Sijie YanThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Yuhang CaoMMLab The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk

Dahua Lin

The Chinese University of Hong Kong

Verified email at ie.cuhk.edu.hk - Homepage

computer vision machine learning probabilistic inference bayesian nonparametrics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 20-36, 2016	2448	2016
Spatial temporal graph convolutional networks for skeleton-based action recognition S Yan, Y Xiong, D Lin Thirty-second AAAI conference on artificial intelligence, 2018	1337	2018
Unsupervised feature learning via non-parametric instance discrimination Z Wu, Y Xiong, SX Yu, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018	902	2018
MMDetection: Open mmlab detection toolbox and benchmark K Chen, J Wang, J Pang, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Xu, ... arXiv preprint arXiv:1906.07155, 2019	653	2019
Temporal action detection with structured segment networks Y Zhao, Y Xiong, L Wang, Z Wu, X Tang, D Lin Proceedings of the IEEE International Conference on Computer Vision, 2914-2923, 2017	571	2017
Libra r-cnn: Towards balanced learning for object detection J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	486	2019
Psanet: Point-wise spatial attention network for scene parsing H Zhao, Y Zhang, S Liu, J Shi, CC Loy, D Lin, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 267-283, 2018	464	2018
Hybrid task cascade for instance segmentation K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	451	2019
Towards diverse and natural image descriptions via a conditional gan B Dai, S Fidler, R Urtasun, D Lin Proceedings of the IEEE International Conference on Computer Vision, 2970-2979, 2017	378	2017
Detecting visual relationships with deep relational networks B Dai, Y Zhang, D Lin Proceedings of the IEEE conference on computer vision and Pattern …, 2017	366	2017
Untrimmednets for weakly supervised action recognition and detection L Wang, Y Xiong, D Lin, L Van Gool Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017	325	2017
Region proposal by guided anchoring J Wang, K Chen, S Yang, CC Loy, D Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	314	2019
Holistic scene understanding for 3d object detection with rgbd cameras D Lin, S Fidler, R Urtasun Proceedings of the IEEE international conference on computer vision, 1417-1424, 2013	313	2013
Temporal segment networks for action recognition in videos L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool IEEE transactions on pattern analysis and machine intelligence 41 (11), 2740 …, 2018	297	2018
Nonparametric discriminant analysis for face recognition Z Li, D Lin, X Tang IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (4), 755-761, 2009	239	2009
Image tagging based upon cross domain context SJ Baker, A Kapoor, G Hua, D Lin US Patent 8,645,287, 2014	236	2014
Inter-modality face recognition D Lin, X Tang European conference on computer vision, 13-26, 2006	215	2006
Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes J Zhang, MP Landry, PW Barone, JH Kim, S Lin, ZW Ulissi, D Lin, B Mu, ... Nature nanotechnology 8 (12), 959-968, 2013	207	2013
Polynet: A pursuit of structural diversity in very deep networks X Zhang, Z Li, C Change Loy, D Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	197	2017
Conditional infomax learning: An integrated framework for feature extraction and fusion D Lin, X Tang European conference on computer vision, 68-82, 2006	193	2006

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