| Blindly assess image quality in the wild guided by a self-adaptive hyper network S Su, Q Yan, Y Zhu, C Zhang, X Ge, J Sun, Y Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 443 | 2020 |
| Koniq++: Boosting no-reference image quality assessment in the wild by jointly predicting image quality and defects S Su, V Hosu, H Lin, Y Zhang, D Saupe The 32nd British Machine Vision Conference, 2021 | 20 | 2021 |
| Learning depth via leveraging semantics: Self-supervised monocular depth estimation with both implicit and explicit semantic guidance R Li, D Xue, S Su, X He, Q Mao, Y Zhu, J Sun, Y Zhang Pattern Recognition 137, 109297, 2023 | 16 | 2023 |
| Exploring and evaluating image restoration potential in dynamic scenes C Zhang, S Su, Y Zhu, Q Yan, J Sun, Y Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Going the extra mile in face image quality assessment: A novel database and model S Su, H Lin, V Hosu, O Wiedemann, J Sun, Y Zhu, H Liu, Y Zhang, ... IEEE Transactions on Multimedia, 2023 | 9 | 2023 |
| From distortion manifold to perceptual quality: a data efficient blind image quality assessment approach S Su, Q Yan, Y Zhu, J Sun, Y Zhang Pattern Recognition 133, 109047, 2023 | 7 | 2023 |
| Boosting No-Reference Super-Resolution Image Quality Assessment with Knowledge Distillation and Extension H Zhang, S Su, Y Zhu, J Sun, Y Zhang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Konx: cross-resolution image quality assessment O Wiedemann, V Hosu, S Su, D Saupe Quality and User Experience 8 (1), 8, 2023 | 1 | 2023 |
| Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network–Supplementary Material S Su, Q Yan, Y Zhu, C Zhang, X Ge, J Sun, Y Zhang Northwestern Polytechnical University: Xi’an, China, 2020 | 1 | 2020 |
| Blind image quality assessment via deep recursive convolutional network with skip connection Q Yan, J Sun, S Su, Y Zhu, H Li, Y Zhang Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018 | 1 | 2018 |
| GSDD: Generative Space Dataset Distillation for Image Super-resolution H Zhang, S Su, Y Zhu, J Sun, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7069-7077, 2024 | | 2024 |
| Exploring and Evaluating Image Restoration Potential in Dynamic Scenes–Supplementary Material C Zhang, S Su, Y Zhu, Q Yan, J Sun, Y Zhang | | |
