| 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 | 507 | 2018 |
| Transductive Multi-view Zero-Shot Learning Y Fu, T Hospedales, T Xiang, S Gong IEEE TPAMI, 2015 | 371 | 2015 |
| 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 | 360 | 2018 |
| 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 | 253 | 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 | 220 | 2014 |
| 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 | 180 | 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 | 177 | 2017 |
| 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 | 157 | 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 | 157 | 2013 |
| Semi-supervised vocabulary-informed learning Y Fu, L Sigal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 141 | 2016 |
| Attribute learning for understanding unstructured social activity Y Fu, TM Hospedales, T Xiang, S Gong European Conference on Computer Vision, 530-543, 2012 | 134 | 2012 |
| 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 | 100 | 2018 |
| 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 | 95* | 2019 |
| 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 | 88 | 2021 |
| 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 | 86 | 2019 |
| Harnessing object and scene semantics for large-scale video understanding Z Wu, Y Fu, YG Jiang, L Sigal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 81 | 2016 |
| Deep learning for video classification and captioning Z Wu, T Yao, Y Fu, YG Jiang Frontiers of multimedia research, 3-29, 2017 | 72 | 2017 |
| Heterogeneous knowledge transfer in video emotion recognition, attribution and summarization B Xu, Y Fu, YG Jiang, B Li, L Sigal IEEE Transactions on Affective Computing 9 (2), 255-270, 2016 | 72 | 2016 |
| Interestingness prediction by robust learning to rank Y Fu, TM Hospedales, T Xiang, S Gong, Y Yao European conference on computer vision, 488-503, 2014 | 66 | 2014 |
| Stacked semantic-guided attention model for fine-grained zero-shot learning Y Yu, Z Ji, Y Fu, J Guo, Y Pang, Z Zhang arXiv preprint arXiv:1805.08113, 2018 | 61 | 2018 |
Yu-Gang JiangProfessor, Computer Science, Fudan University, ShanghaiBestätigte E-Mail-Adresse bei fudan.edu.cn
