| Hierarchical convolutional features for visual tracking C Ma, JB Huang, X Yang, MH Yang Proceedings of the IEEE international conference on computer vision, 3074-3082, 2015 | 2144 | 2015 |
| Cross-scene crowd counting via deep convolutional neural networks C Zhang, H Li, X Wang, X Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1412 | 2015 |
| Long-term correlation tracking C Ma, X Yang, C Zhang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1183 | 2015 |
| Using free energy principle for blind image quality assessment K Gu, G Zhai, X Yang, W Zhang IEEE Transactions on Multimedia 17 (1), 50-63, 2014 | 613 | 2014 |
| Learning a no-reference quality metric for single-image super-resolution C Ma, CY Yang, X Yang, MH Yang Computer Vision and Image Understanding 158, 1-16, 2017 | 515 | 2017 |
| Just noticeable distortion model and its applications in video coding X Yang, WS Ling, ZK Lu, EP Ong, SS Yao Signal processing: Image communication 20 (7), 662-680, 2005 | 407 | 2005 |
| Crowd counting via adversarial cross-scale consistency pursuit Z Shen, Y Xu, B Ni, M Wang, J Hu, X Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 393 | 2018 |
| Deep multimodal distance metric learning using click constraints for image ranking J Yu, X Yang, F Gao, D Tao IEEE transactions on cybernetics 47 (12), 4014-4024, 2016 | 370 | 2016 |
| Unsupervised deep learning for optical flow estimation Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 359 | 2017 |
| No-reference quality metric of contrast-distorted images based on information maximization K Gu, W Lin, G Zhai, X Yang, W Zhang, CW Chen IEEE transactions on cybernetics 47 (12), 4559-4565, 2016 | 359 | 2016 |
| No-reference image sharpness assessment in autoregressive parameter space K Gu, G Zhai, W Lin, X Yang, W Zhang IEEE Transactions on Image Processing 24 (10), 3218-3231, 2015 | 333 | 2015 |
| Pointaugmenting: Cross-modal augmentation for 3d object detection C Wang, C Ma, M Zhu, X Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 319 | 2021 |
| Blind image quality estimation via distortion aggravation X Min, G Zhai, K Gu, Y Liu, X Yang IEEE Transactions on Broadcasting 64 (2), 508-517, 2018 | 314 | 2018 |
| Modeling the intensity function of point process via recurrent neural networks S Xiao, J Yan, X Yang, H Zha, S Chu Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 303 | 2017 |
| A deep learning system for detecting diabetic retinopathy across the disease spectrum L Dai, L Wu, H Li, C Cai, Q Wu, H Kong, R Liu, X Wang, X Hou, Y Liu, ... Nature communications 12 (1), 3242, 2021 | 295 | 2021 |
| Person re-identification via recurrent feature aggregation Y Yan, B Ni, Z Song, C Ma, Y Yan, X Yang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 288 | 2016 |
| Blind quality assessment based on pseudo-reference image X Min, K Gu, G Zhai, J Liu, X Yang, CW Chen IEEE Transactions on Multimedia 20 (8), 2049-2062, 2017 | 287 | 2017 |
| Saliency-guided quality assessment of screen content images K Gu, S Wang, H Yang, W Lin, G Zhai, X Yang, W Zhang IEEE Transactions on Multimedia 18 (6), 1098-1110, 2016 | 287 | 2016 |
| A psychovisual quality metric in free-energy principle G Zhai, X Wu, X Yang, W Lin, W Zhang IEEE Transactions on Image Processing 21 (1), 41-52, 2011 | 283 | 2011 |
| Deep regression tracking with shrinkage loss X Lu, C Ma, B Ni, X Yang, I Reid, MH Yang Proceedings of the European conference on computer vision (ECCV), 353-369, 2018 | 258 | 2018 |
Guangtao ZhaiShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
