| Supervised hashing with kernels W Liu, J Wang, R Ji, YG Jiang, SF Chang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2074-2081, 2012 | 1652 | 2012 |
| Pixel2mesh: Generating 3d mesh models from single rgb images N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang Proceedings of the European Conference on Computer Vision (ECCV), 52-67, 2018 | 1273 | 2018 |
| Evaluating bag-of-visual-words representations in scene classification J Yang, YG Jiang, AG Hauptmann, CW Ngo Proceedings of the ACM SIGMM workshop on multimedia information retrieval …, 2007 | 1202 | 2007 |
| Towards optimal bag-of-features for object categorization and semantic video retrieval YG Jiang, CW Ngo, J Yang Proceedings of the 6th ACM international conference on Image and video …, 2007 | 862 | 2007 |
| Dsod: Learning deeply supervised object detectors from scratch Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017 | 718 | 2017 |
| THUMOS challenge: Action recognition with a large number of classes YG Jiang, J Liu, AR Zamir, I Laptev, M Piccardi, M Shah, R Sukthankar | 681 | 2013 |
| Modeling spatial-temporal clues in a hybrid deep learning framework for video classification Z Wu, X Wang, YG Jiang, H Ye, X Xue Proceedings of the 23rd ACM international conference on Multimedia, 461-470, 2015 | 547 | 2015 |
| Two-dimensional materials for next-generation computing technologies C Liu, H Chen, S Wang, Q Liu, YG Jiang, DW Zhang, M Liu, P Zhou Nature Nanotechnology 15 (7), 545-557, 2020 | 528 | 2020 |
| The THUMOS challenge on action recognition for videos “in the wild” H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah Computer Vision and Image Understanding 155, 1-23, 2017 | 497 | 2017 |
| The THUMOS challenge on action recognition for videos “in the wild” H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah Computer Vision and Image Understanding 155, 1-23, 2017 | 497 | 2017 |
| Pose-normalized image generation for person re-identification X Qian, Y Fu, T Xiang, W Wang, J Qiu, Y Wu, YG Jiang, X Xue Proceedings of the European Conference on Computer Vision (ECCV), 650-667, 2018 | 486 | 2018 |
| NAIS: Neural Attentive Item Similarity Model for Recommendation X He, Z He, J Song, Z Liu, YG Jiang, TS Chua IEEE Transactions on Knowledge and Data Engineering, 2018 | 477 | 2018 |
| Exploiting feature and class relationships in video categorization with regularized deep neural networks YG Jiang, Z Wu, J Wang, X Xue, SF Chang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 419 | 2017 |
| Learning fashion compatibility with bidirectional lstms X Han, Z Wu, YG Jiang, LS Davis Proceedings of the 25th ACM international conference on Multimedia, 1078-1086, 2017 | 390 | 2017 |
| Consumer video understanding: A benchmark database and an evaluation of human and machine performance YG Jiang, G Ye, SF Chang, D Ellis, AC Loui Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 1-8, 2011 | 360 | 2011 |
| Representations of keypoint-based semantic concept detection: A comprehensive study YG Jiang, J Yang, CW Ngo, AG Hauptmann Multimedia, IEEE Transactions on 12 (1), 42-53, 2010 | 329 | 2010 |
| Multi-scale deep learning architectures for person re-identification X Qian, Y Fu, YG Jiang, T Xiang, X Xue Proceedings of the IEEE International Conference on Computer Vision, 5399-5408, 2017 | 312 | 2017 |
| Multi-scale deep learning architectures for person re-identification X Qian, Y Fu, YG Jiang, T Xiang, X Xue Proceedings of the IEEE International Conference on Computer Vision, 5399-5408, 2017 | 312 | 2017 |
| Recurrent fusion network for image captioning W Jiang, L Ma, YG Jiang, W Liu, T Zhang Proceedings of the European Conference on Computer Vision (ECCV), 499-515, 2018 | 287 | 2018 |
| Trajectory-Based Modeling of Human Actions with Motion Reference Points YG Jiang, Q Dai, X Xue, W Liu, CW Ngo ECCV, 2012 | 286 | 2012 |
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
