| Learning to compare: Relation network for few-shot learning F Sung, Y Yang, L Zhang, T Xiang, PHS Torr, TM Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 4163 | 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, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 2285 | 2021 |
| Fast online object tracking and segmentation: A unifying approach Q Wang, L Zhang, L Bertinetto, W Hu, PHS Torr IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1393 | 2019 |
| Learning a discriminative null space for person re-identification L Zhang, T Xiang, S Gong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 772 | 2016 |
| Learning a deep embedding model for zero-shot learning L Zhang, T Xiang, S Gong IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 752 | 2017 |
| The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... IEEE/CVF International Conference on Computer Vision Workshops, 2019 | 477 | 2019 |
| Strip Pooling: Rethinking Spatial Pooling for Scene Parsing Q Hou, L Zhang, MM Cheng, J Feng IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 468 | 2020 |
| Style Normalization and Restitution for Generalizable Person Re-identification X Jin, C Lan, W Zeng, Z Chen, L Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 289 | 2020 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 2020 | 231 | 2020 |
| Improving Semantic Segmentation via Decoupled Body and Edge Supervision X Li, X Li, L Zhang, G Cheng, J Shi, Z Lin, S Tan, Y Tong European Conference on Computer Vision (ECCV), 2020 | 217 | 2020 |
| Dual Graph Convolutional Network for Semantic Segmentation L Zhang, X Li, A Arnab, K Yang, Y Tong, PHS Torr British Machine Vision Conference (BMVC), 2019 | 188 | 2019 |
| Instance Credibility Inference for Few-Shot Learning Y Wang, C Xu, C Liu, L Zhang, Y Fu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 166 | 2020 |
| Learning to Learn: Meta-Critic Networks for Sample Efficient Learning F Sung, L Zhang, T Xiang, T Hospedales, Y Yang arXiv preprint arXiv:1706.09529, 2017 | 152 | 2017 |
| XingGAN for Person Image Generation H Tang, S Bai, L Zhang, PHS Torr, N Sebe European Conference on Computer Vision (ECCV), 2020 | 151 | 2020 |
| Few-shot action recognition with permutation-invariant attention H Zhang, L Zhang, X Qi, H Li, PHS Torr, P Koniusz European Conference on Computer Vision (ECCV), 2020 | 142 | 2020 |
| Actor-Critic Sequence Training for Image Captioning L Zhang, F Sung, F Liu, T Xiang, S Gong, Y Yang, TM Hospedales NeurIPS Workshop on Visually-Grounded Interaction and Language, 2017 | 136 | 2017 |
| Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Z Lu, S He, X Zhu, L Zhang, YZ Song, T Xiang IEEE International Conference on Computer Vision (ICCV), 2021 | 122 | 2021 |
| Dynamic Graph Message Passing Networks L Zhang, D Xu, A Arnab, PHS Torr IEEE/CVF International Conference on Computer Vision (CVPR), 2020 | 122 | 2020 |
| Learning a Few-shot Embedding Model with Contrastive Learning C Liu, Y Fu, C Xu, S Yang, J Li, C Wang, L Zhang AAAI Conference on Artificial Intelligence (AAAI), 2021 | 111 | 2021 |
| Learning dynamic alignment via meta-filter for few-shot learning C Xu, Y Fu, C Liu, C Wang, J Li, F Huang, L Zhang, X Xue IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 105 | 2021 |
Tao XiangUniversity of Surrey; Meta AIPotvrđena adresa e-pošte na surrey.ac.uk
