Dahua Lin

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Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Yuanjun XiongAmazon Web ServicesVerified email at amazon.com
Chen Change LoyNanyang Technological UniversityVerified email at ntu.edu.sg
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
Kai ChenThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Ziwei LiuAssistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Bo DaiNanyang Technological UniversityVerified email at ntu.edu.sg
Limin WangNanjing UniversityVerified email at nju.edu.cn
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Yue ZhaoThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATGVerified email at cs.toronto.edu
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
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
Zhe WangUniversity of California, IrvineVerified email at uci.edu
Wanli Ouyang (欧阳万里)Associate Professor at The University of SydneyVerified email at sydney.edu.au
Jiangmiao Pang (庞江淼)Zhejiang UniversityVerified email at zju.edu.cn
Simon BakerDistinguished Engineer, nVidia CorporationVerified email at nvidia.com
John W. Fisher IIISenior Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu

Dahua Lin

The Chinese University of Hong Kong

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

computer vision machine learning probabilistic inference bayesian nonparametrics


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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	2064	2016
Spatial temporal graph convolutional networks for skeleton-based action recognition S Yan, Y Xiong, D Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	942	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	510	2018
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	465	2017
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	393	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	332	2018
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	323	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	308	2017
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	301	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	292	2013
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	283	2019
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	269	2017
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	235	2009
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	225	2019
Image tagging based upon cross domain context SJ Baker, A Kapoor, G Hua, D Lin US Patent 8,645,287, 2014	213	2014
Inter-modality face recognition D Lin, X Tang European conference on computer vision, 13-26, 2006	211	2006
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	201	2018
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	185	2013
Conditional infomax learning: An integrated framework for feature extraction and fusion D Lin, X Tang European conference on computer vision, 68-82, 2006	174	2006
What are you talking about? text-to-image coreference C Kong, D Lin, M Bansal, R Urtasun, S Fidler Proceedings of the IEEE conference on computer vision and pattern …, 2014	173	2014

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