Plug-and-play image restoration with deep denoiser prior K Zhang, Y Li, W Zuo, L Zhang, L Van Gool, R Timofte IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6360 …, 2021 | 710 | 2021 |
LocalViT: Bringing locality to vision transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool arXiv preprint arXiv:2104.05707, 2021 | 460 | 2021 |
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Y Li, S Gu, C Mayer, LV Gool, R Timofte CVPR2020, code: https://github.com/ofsoundof/group_sparsity, 2020 | 236 | 2020 |
Vrt: A video restoration transformer J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool IEEE Transactions on Image Processing, 2024 | 185 | 2024 |
Video super-resolution transformer J Cao, Y Li, K Zhang, L Van Gool arXiv preprint arXiv:2106.06847, 2021 | 179 | 2021 |
Self-guided network for fast image denoising S Gu, Y Li, LV Gool, R Timofte Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 171 | 2019 |
PIRM challenge on perceptual image enhancement on smartphones: Report A Ignatov, R Timofte, T Van Vu, T Minh Luu, T X Pham, C Van Nguyen, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 144 | 2018 |
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training Y Wei, S Gu, Y Li, L Jin https://arxiv.org/abs/2004.01178, 2020 | 131 | 2020 |
DHP: Differentiable Meta Pruning via HyperNetworks Y Li, S Gu, K Zhang, LV Gool, R Timofte https://arxiv.org/abs/2003.13683, 2020 | 126 | 2020 |
Practical blind image denoising via Swin-Conv-UNet and data synthesis K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, DP Fan, R Timofte, ... Machine Intelligence Research 20 (6), 822-836, 2023 | 119 | 2023 |
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 |
Efficient and explicit modelling of image hierarchies for image restoration Y Li, Y Fan, X Xiang, D Demandolx, R Ranjan, R Timofte, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 112 | 2023 |
Learning filter basis for convolutional neural network compression Y Li, S Gu, LV Gool, R Timofte Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 106 | 2019 |
Aim 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 102 | 2020 |
Revisiting random channel pruning for neural network compression Y Li, K Adamczewski, W Li, S Gu, R Timofte, L Van Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 92 | 2022 |
Reference-based image super-resolution with deformable attention transformer J Cao, J Liang, K Zhang, Y Li, Y Zhang, W Wang, LV Gool European conference on computer vision, 325-342, 2022 | 47 | 2022 |
Cluster, split, fuse, and update: Meta-learning for open compound domain adaptive semantic segmentation R Gong, Y Chen, DP Paudel, Y Li, A Chhatkuli, W Li, D Dai, L Van Gool Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021 | 40 | 2021 |
NTIRE 2023 challenge on image super-resolution (x4): Methods and results Y Zhang, K Zhang, Z Chen, Y Li, R Timofte, J Zhang, K Zhang, R Peng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 39 | 2023 |
3D appearance super-resolution with deep learning Y Li, V Tsiminaki, R Timofte, M Pollefeys, LV Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 38 | 2019 |
Carn: Convolutional anchored regression network for fast and accurate single image super-resolution Y Li, E Agustsson, S Gu, R Timofte, L Van Gool Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 37 | 2018 |