| Domain generalization with adversarial feature learning H Li, SJ Pan, S Wang, AC Kot Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1366 | 2018 |
| Image quality assessment: Unifying structure and texture similarity K Ding, K Ma, S Wang, EP Simoncelli IEEE transactions on pattern analysis and machine intelligence 44 (5), 2567-2581, 2020 | 693 | 2020 |
| From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement W Yang, S Wang, Y Fang, Y Wang, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 510 | 2020 |
| Image and video compression with neural networks: A review S Ma, X Zhang, C Jia, Z Zhao, S Wang, S Wang IEEE Transactions on Circuits and Systems for Video Technology 30 (6), 1683-1698, 2019 | 417 | 2019 |
| A patch-structure representation method for quality assessment of contrast changed images S Wang, K Ma, H Yeganeh, Z Wang, W Lin IEEE Signal Processing Letters 22 (12), 2387-2390, 2015 | 373 | 2015 |
| Veri-wild: A large dataset and a new method for vehicle re-identification in the wild Y Lou, Y Bai, J Liu, S Wang, L Duan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 313 | 2019 |
| Sparse gradient regularized deep retinex network for robust low-light image enhancement W Yang, W Wang, H Huang, S Wang, J Liu IEEE Transactions on Image Processing 30, 2072-2086, 2021 | 306 | 2021 |
| Group-sensitive triplet embedding for vehicle reidentification Y Bai, Y Lou, F Gao, S Wang, Y Wu, LY Duan IEEE Transactions on Multimedia 20 (9), 2385-2399, 2018 | 295 | 2018 |
| 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 | 292 | 2016 |
| Unsupervised domain adaptation for face anti-spoofing H Li, W Li, H Cao, S Wang, F Huang, AC Kot IEEE Transactions on Information Forensics and Security 13 (7), 1794-1809, 2018 | 260 | 2018 |
| Single image deraining: From model-based to data-driven and beyond W Yang, RT Tan, S Wang, Y Fang, J Liu IEEE Transactions on pattern analysis and machine intelligence 43 (11), 4059 …, 2020 | 252 | 2020 |
| SSIM-motivated rate-distortion optimization for video coding S Wang, A Rehman, Z Wang, S Ma, W Gao IEEE Transactions on Circuits and Systems for Video Technology 22 (4), 516-529, 2011 | 249 | 2011 |
| Blind quality assessment of tone-mapped images via analysis of information, naturalness, and structure K Gu, S Wang, G Zhai, S Ma, X Yang, W Lin, W Zhang, W Gao IEEE Transactions on Multimedia 18 (3), 432-443, 2016 | 230 | 2016 |
| Comparison of full-reference image quality models for optimization of image processing systems K Ding, K Ma, S Wang, EP Simoncelli International Journal of Computer Vision 129 (4), 1258-1281, 2021 | 216 | 2021 |
| Content-aware convolutional neural network for in-loop filtering in high efficiency video coding C Jia, S Wang, X Zhang, S Wang, J Liu, S Pu, S Ma IEEE Transactions on Image Processing 28 (7), 3343-3356, 2019 | 197 | 2019 |
| Learning generalized deep feature representation for face anti-spoofing H Li, P He, S Wang, A Rocha, X Jiang, AC Kot IEEE Transactions on Information Forensics and Security 13 (10), 2639-2652, 2018 | 194 | 2018 |
| Embedding adversarial learning for vehicle re-identification Y Lou, Y Bai, J Liu, S Wang, LY Duan IEEE Transactions on Image Processing 28 (8), 3794-3807, 2019 | 183 | 2019 |
| Domain generalization for medical imaging classification with linear-dependency regularization H Li, YF Wang, R Wan, S Wang, TQ Li, A Kot Advances in neural information processing systems 33, 3118-3129, 2020 | 162 | 2020 |
| Quality prediction of asymmetrically distorted stereoscopic 3D images J Wang, A Rehman, K Zeng, S Wang, Z Wang IEEE Transactions on Image Processing 24 (11), 3400-3414, 2015 | 158 | 2015 |
| Analysis of distortion distribution for pooling in image quality prediction K Gu, S Wang, G Zhai, W Lin, X Yang, W Zhang IEEE Transactions on Broadcasting 62 (2), 446-456, 2016 | 154 | 2016 |
Siwei MaPeking University在 pku.edu.cn 的电子邮件经过验证
