| 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 | 971 | 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 | 680 | 2017 |
| 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 | 284 | 2019 |
| 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 | 280 | 2020 |
| 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 | 246 | 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 | 223 | 2019 |
| 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 | 216 | 2017 |
| Pixel-bert: Aligning image pixels with text by deep multi-modal transformers Z Huang, Z Zeng, B Liu, D Fu, J Fu arXiv preprint arXiv:2004.00849, 2020 | 197* | 2020 |
| Ocean: Object-aware anchor-free tracking Z Zhang, H Peng, J Fu, B Li, W Hu European Conference on Computer Vision, 771-787, 2020 | 192 | 2020 |
| 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 | 145 | 2018 |
| 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 | 137 | 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 | 126 | 2017 |
| 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 | 104 | 2020 |
| Learning joint spatial-temporal transformations for video inpainting Y Zeng, J Fu, H Chao European Conference on Computer Vision, 528-543, 2020 | 103 | 2020 |
| Learn to scale: Generating multipolar normalized density maps for crowd counting C Xu, K Qiu, J Fu, S Bai, Y Xu, X Bai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 94 | 2019 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 547-601, 2020 | 93 | 2020 |
| Beyond object recognition: Visual sentiment analysis with deep coupled adjective and noun neural networks. J Wang, J Fu, Y Xu, T Mei IJCAI, 3484-3490, 2016 | 83 | 2016 |
| 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 | 78 | 2021 |
| Wsod2: Learning bottom-up and top-down objectness distillation for weakly-supervised object detection Z Zeng, B Liu, J Fu, H Chao, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 77 | 2019 |
| Learning deep bilinear transformation for fine-grained image representation H Zheng, J Fu, ZJ Zha, J Luo Advances in Neural Information Processing Systems 32, 2019 | 66 | 2019 |
Tao MeiJD.COM; Fellow of CAE, IEEE, IAPRVerified email at jd.com
