| 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 | 833 | 2018 |
| Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers S Zheng, J Lu, H Zhao, X Zhu, Z Luo, Y Wang, Y Fu, J Feng, T Xiang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 707 | 2021 |
| Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang arXiv preprint arXiv:1808.06866, 2018 | 642 | 2018 |
| Transductive Multi-view Zero-Shot Learning Y Fu, T Hospedales, T Xiang, S Gong IEEE TPAMI, 2015 | 433 | 2015 |
| 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 | 363 | 2018 |
| Transductive multi-view embedding for zero-shot recognition and annotation Y Fu, TM Hospedales, T Xiang, Z Fu, S Gong European conference on computer vision, 584-599, 2014 | 252 | 2014 |
| 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 | 241 | 2017 |
| Multi-view video summarization Y Fu, Y Guo, Y Zhu, F Liu, C Song, ZH Zhou IEEE Transactions on Multimedia 12 (7), 717-729, 2010 | 195 | 2010 |
| Multi-level semantic feature augmentation for one-shot learning Z Chen, Y Fu, Y Zhang, YG Jiang, X Xue, L Sigal IEEE Transactions on Image Processing 28 (9), 4594-4605, 2019 | 171* | 2019 |
| Recent advances in zero-shot recognition: Toward data-efficient understanding of visual content Y Fu, T Xiang, YG Jiang, X Xue, L Sigal, S Gong IEEE Signal Processing Magazine 35 (1), 112-125, 2018 | 163 | 2018 |
| Learning multimodal latent attributes Y Fu, TM Hospedales, T Xiang, S Gong IEEE transactions on pattern analysis and machine intelligence 36 (2), 303-316, 2013 | 159 | 2013 |
| Learning multi-modal latent attributes Y Fu, T Hospedales, T Xiang, S Gong IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1-1, 2013 | 159 | 2013 |
| Semi-supervised vocabulary-informed learning Y Fu, L Sigal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 152 | 2016 |
| Image deformation meta-networks for one-shot learning Z Chen, Y Fu, YX Wang, L Ma, W Liu, M Hebert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 149 | 2019 |
| Attribute learning for understanding unstructured social activity Y Fu, TM Hospedales, T Xiang, S Gong European conference on computer vision, 530-543, 2012 | 143 | 2012 |
| Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking J Peng, C Wang, F Wan, Y Wu, Y Wang, Y Tai, C Wang, J Li, F Huang, ... European conference on computer vision, 145-161, 2020 | 135 | 2020 |
| Pixel2mesh++: Multi-view 3d mesh generation via deformation C Wen, Y Zhang, Z Li, Y Fu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 125 | 2019 |
| Deep learning for video classification and captioning Z Wu, T Yao, Y Fu, YG Jiang Frontiers of multimedia research, 3-29, 2017 | 103 | 2017 |
| Large-scale datasets for going deeper in image understanding J Wu, H Zheng, B Zhao, Y Li, B Yan, R Liang, W Wang, S Zhou, G Lin, ... 2019 IEEE International Conference on Multimedia and Expo (ICME), 1480-1485, 2019 | 100 | 2019 |
| Stacked semantics-guided attention model for fine-grained zero-shot learning Z Ji, Y Fu, J Guo, Y Pang, ZM Zhang Advances in neural information processing systems 31, 2018 | 97 | 2018 |
Xiangyang XueProfessor of Computer Science, Fudan UniversityBestätigte E-Mail-Adresse bei fudan.edu.cn
