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
Kai ChenSenseTime ResearchVerified email at sensetime.com
Jianping ShiSenseTime Group LimitedVerified 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
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
Jiangmiao Pang (庞江淼)Zhejiang UniversityVerified email at zju.edu.cn
Yu Xiong (熊宇)The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Qingqiu HuangPhD student of MMLab, CUHKVerified email at ie.cuhk.edu.hk
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
Wanli Ouyang (欧阳万里)Associate Professor at The University of SydneyVerified email at sydney.edu.au
Sijie YanThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Zhe WangUniversity of California, IrvineVerified email at uci.edu
Xinge Zhuthe 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	2280	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	1142	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	721	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	528	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	519	2017
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	406	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	395	2019
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	392	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	350	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	344	2017
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	303	2013
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	299	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	273	2019
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	265	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	236	2009
Image tagging based upon cross domain context SJ Baker, A Kapoor, G Hua, D Lin US Patent 8,645,287, 2014	223	2014
Inter-modality face recognition D Lin, X Tang European conference on computer vision, 13-26, 2006	213	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	199	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	186	2017
Conditional infomax learning: An integrated framework for feature extraction and fusion D Lin, X Tang European conference on computer vision, 68-82, 2006	186	2006

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