Image super-resolution using very deep residual channel attention networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu Proceedings of the European conference on computer vision (ECCV), 286-301, 2018 | 4848 | 2018 |
Residual dense network for image super-resolution Y Zhang, Y Tian, Y Kong, B Zhong, Y Fu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 4508 | 2018 |
Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1701 | 2017 |
Residual Non-local Attention Networks for Image Restoration Y Zhang, K Li, K Li, B Zhong, Y Fu International Conference on Learning Representations (ICLR), 2019 | 780 | 2019 |
Tdan: Temporally-deformable alignment network for video super-resolution Y Tian, Y Zhang, Y Fu, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 606 | 2020 |
Visual semantic reasoning for image-text matching K Li, Y Zhang, K Li, Y Li, Y Fu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 544 | 2019 |
Gan inversion: A survey W Xia, Y Zhang, Y Yang, JH Xue, B Zhou, MH Yang IEEE transactions on pattern analysis and machine intelligence 45 (3), 3121-3138, 2022 | 498 | 2022 |
Adversarial feature hallucination networks for few-shot learning K Li, Y Zhang, K Li, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 310 | 2020 |
Latticenet: Towards lightweight image super-resolution with lattice block X Luo, Y Xie, Y Zhang, Y Qu, C Li, Y Fu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 234 | 2020 |
Mask-guided spectral-wise transformer for efficient hyperspectral image reconstruction Y Cai, J Lin, X Hu, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 194 | 2022 |
Zooming slow-mo: Fast and accurate one-stage space-time video super-resolution X Xiang, Y Tian, Y Zhang, Y Fu, JP Allebach, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 176 | 2020 |
Pyramid attention network for image restoration Y Mei, Y Fan, Y Zhang, J Yu, Y Zhou, D Liu, Y Fu, TS Huang, H Shi International Journal of Computer Vision 131 (12), 3207-3225, 2023 | 163 | 2023 |
Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion Z Zhao, H Bai, J Zhang, Y Zhang, S Xu, Z Lin, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 161 | 2023 |
Channel splitting network for single MR image super-resolution X Zhao, Y Zhang, T Zhang, X Zou IEEE transactions on image processing 28 (11), 5649-5662, 2019 | 161 | 2019 |
Mst++: Multi-stage spectral-wise transformer for efficient spectral reconstruction Y Cai, J Lin, Z Lin, H Wang, Y Zhang, H Pfister, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 135 | 2022 |
Neural pruning via growing regularization H Wang, C Qin, Y Zhang, Y Fu International Conference on Learning Representations, 2021 | 130 | 2021 |
NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 115 | 2023 |
Hdnet: High-resolution dual-domain learning for spectral compressive imaging X Hu, Y Cai, J Lin, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 108 | 2022 |
Coarse-to-fine sparse transformer for hyperspectral image reconstruction Y Cai, J Lin, X Hu, H Wang, X Yuan, Y Zhang, R Timofte, L Van Gool European Conference on Computer Vision, 686-704, 2022 | 98 | 2022 |
Multimodal Style Transfer via Graph Cuts Y Zhang, C Fang, Y Wang, Z Wang, Z Lin, Y Fu, J Yang International Conference on Computer Vision, 2019 | 96 | 2019 |