| Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition J Fu, H Zheng, T Mei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1366 | 2017 |
| Learning multi-attention convolutional neural network for fine-grained image recognition H Zheng, J Fu, T Mei, J Luo Proceedings of the IEEE international conference on computer vision, 5209-5217, 2017 | 954 | 2017 |
| Learning texture transformer network for image super-resolution F Yang, H Yang, J Fu, H Lu, B Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 740 | 2020 |
| Ocean: Object-aware anchor-free tracking Z Zhang, H Peng, J Fu, B Li, W Hu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 551 | 2020 |
| Seeing out of the box: End-to-end pre-training for vision-language representation learning Z Huang, Z Zeng, Y Huang, B Liu, D Fu, J Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 502* | 2021 |
| Learning spatio-temporal transformer for visual tracking B Yan, H Peng, J Fu, D Wang, H Lu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 478 | 2021 |
| The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 477 | 2019 |
| Learning pyramid-context encoder network for high-quality image inpainting Y Zeng, J Fu, H Chao, B Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 436 | 2019 |
| Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition H Zheng, J Fu, ZJ Zha, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 420 | 2019 |
| Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 372 | 2019 |
| Learning 2d temporal adjacent networks for moment localization with natural language S Zhang, H Peng, J Fu, J Luo Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12870 …, 2020 | 327 | 2020 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 316 | 2018 |
| Learning joint spatial-temporal transformations for video inpainting Y Zeng, J Fu, H Chao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 251 | 2020 |
| Multi-level attention networks for visual question answering D Yu, J Fu, T Mei, Y Rui Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 249 | 2017 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 231 | 2020 |
| Rethinking and improving relative position encoding for vision transformer K Wu, H Peng, M Chen, J Fu, H Chao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 222 | 2021 |
| Autoformer: Searching transformers for visual recognition M Chen, H Peng, J Fu, H Ling Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 183 | 2021 |
| Da-gan: Instance-level image translation by deep attention generative adversarial networks S Ma, J Fu, CW Chen, T Mei Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 172 | 2018 |
| Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 170 | 2020 |
| Show, adapt and tell: Adversarial training of cross-domain image captioner TH Chen, YH Liao, CY Chuang, WT Hsu, J Fu, M Sun Proceedings of the IEEE international conference on computer vision, 521-530, 2017 | 163 | 2017 |
Bei LiuMicrosoft ResearchVerified email at microsoft.com
