| 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 | 1207 | 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 | 261 | 2018 |
| 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 | 238 | 2013 |
| 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 | 233 | 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 | 218 | 2009 |
| 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 | 187 | 2017 |
| Inter-modality face recognition D Lin, X Tang European conference on computer vision, 13-26, 2006 | 178 | 2006 |
| Detecting visual relationships with deep relational networks B Dai, Y Zhang, D Lin Proceedings of the IEEE conference on computer vision and Pattern …, 2017 | 155 | 2017 |
| Image tagging based upon cross domain context SJ Baker, A Kapoor, G Hua, D Lin US Patent 8,645,287, 2014 | 148 | 2014 |
| 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, 2013 | 140 | 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 | 138 | 2017 |
| Conditional infomax learning: an integrated framework for feature extraction and fusion D Lin, X Tang European conference on computer vision, 68-82, 2006 | 133 | 2006 |
| Single Molecule Detection of Nitric Oxide Enabled by d(AT)15 DNA Adsorbed to Near Infrared Fluorescent Single-Walled Carbon Nanotubes J Zhang, AA Boghossian, PW Barone, A Rwei, JH Kim, D Lin, DA Heller, ... Journal of the American Chemical Society 133 (3), 567-581, 2011 | 127 | 2011 |
| 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 | 120 | 2014 |
| Hallucinating faces: Tensorpatch super-resolution and coupled residue compensation W Liu, D Lin, X Tang 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 106 | 2005 |
| Visual semantic search: Retrieving videos via complex textual queries D Lin, S Fidler, C Kong, R Urtasun Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 105 | 2014 |
| Hidden factor analysis for age invariant face recognition D Gong, Z Li, D Lin, J Liu, X Tang Proceedings of the IEEE international conference on computer vision, 2872-2879, 2013 | 105 | 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 | 94 | 2017 |
| Be your own prada: Fashion synthesis with structural coherence S Zhu, R Urtasun, S Fidler, D Lin, C Change Loy Proceedings of the IEEE international conference on computer vision, 1680-1688, 2017 | 93 | 2017 |
| Construction of dependent Dirichlet processes based on Poisson processes D Lin, E Grimson, JW Fisher Advances in neural information processing systems, 1396-1404, 2010 | 92 | 2010 |
Xiaoou TangThe Chinese University of Hong Kong在 ie.cuhk.edu.hk 的电子邮件经过验证
