| A dilated inception network for visual saliency prediction S Yang, G Lin, Q Jiang, W Lin IEEE Transactions on Multimedia 22 (8), 2163-2176, 2019 | 153 | 2019 |
| SGDNet: An end-to-end saliency-guided deep neural network for no-reference image quality assessment S Yang, Q Jiang, W Lin, Y Wang Proceedings of the 27th ACM international conference on multimedia, 1383-1391, 2019 | 148 | 2019 |
| Learning markov clustering networks for scene text detection Z Liu, G Lin, S Yang, J Feng, W Lin, WL Goh arXiv preprint arXiv:1805.08365, 2018 | 133 | 2018 |
| Towards robust curve text detection with conditional spatial expansion Z Liu, G Lin, S Yang, F Liu, W Lin, WL Goh proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 102 | 2019 |
| Progressive self-guided loss for salient object detection S Yang, W Lin, G Lin, Q Jiang, Z Liu IEEE Transactions on Image Processing 30, 8426-8438, 2021 | 57 | 2021 |
| Object-level attention for aesthetic rating distribution prediction J Hou, S Yang, W Lin Proceedings of the 28th ACM International Conference on Multimedia, 816-824, 2020 | 30 | 2020 |
| Authentically distorted image quality assessment by learning from empirical score distributions Q Jiang, Z Peng, S Yang, F Shao IEEE Signal Processing Letters 26 (12), 1867-1871, 2019 | 9 | 2019 |
| Learning image aesthetic assessment from object-level visual components J Hou, S Yang, W Lin, B Zhao, Y Fang arXiv preprint arXiv:2104.01548, 2021 | 5 | 2021 |
| Visual saliency computation and quality evaluation via deep learning S Yang Nanyang Technological University, 2021 | | 2021 |
Weisi LinPresident's Chair Professor in Computer Science, CCDS, Nanyang Technological Unversity在 ntu.edu.sg 的电子邮件经过验证
