| 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 | 1626 | 2016 |
| Spatial temporal graph convolutional networks for skeleton-based action recognition S Yan, Y Xiong, D Lin arXiv preprint arXiv:1801.07455, 2018 | 598 | 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 | 362 | 2017 |
| 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 | 264 | 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 | 262 | 2013 |
| Detecting visual relationships with deep relational networks B Dai, Y Zhang, D Lin Proceedings of the IEEE conference on computer vision and Pattern …, 2017 | 239 | 2017 |
| 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 | 228 | 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 | 226 | 2009 |
| 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 | 207 | 2017 |
| Inter-modality face recognition D Lin, X Tang European conference on computer vision, 13-26, 2006 | 200 | 2006 |
| 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 | 195 | 2019 |
| Psanet: Point-wise spatial attention network for scene parsing H Zhao, Y Zhang, S Liu, J Shi, C Change Loy, D Lin, J Jia Proceedings of the European Conference on Computer Vision (ECCV), 267-283, 2018 | 188 | 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 conference on computer vision and pattern …, 2019 | 174 | 2019 |
| Image tagging based upon cross domain context SJ Baker, A Kapoor, G Hua, D Lin US Patent 8,645,287, 2014 | 168 | 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), 959-968, 2013 | 163 | 2013 |
| Conditional infomax learning: an integrated framework for feature extraction and fusion D Lin, X Tang European conference on computer vision, 68-82, 2006 | 159 | 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 | 148 | 2014 |
| 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 | 140 | 2011 |
| 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 | 139 | 2017 |
| 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 | 137 | 2018 |
Xiaoou TangThe Chinese University of Hong Kong在 ie.cuhk.edu.hk 的电子邮件经过验证
