| 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 | 646 | 2021 |
| LocalViT: Bringing locality to vision transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool arXiv preprint arXiv:2104.05707, 2021 | 436 | 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 | 226 | 2020 |
| Video super-resolution transformer J Cao, Y Li, K Zhang, L Van Gool arXiv preprint arXiv:2106.06847, 2021 | 169 | 2021 |
| 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 | 164 | 2024 |
| 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 | 163 | 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 | 139 | 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 | 121 | 2020 |
| DHP: Differentiable Meta Pruning via HyperNetworks Y Li, S Gu, K Zhang, LV Gool, R Timofte https://arxiv.org/abs/2003.13683, 2020 | 121 | 2020 |
| 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 | 105 | 2019 |
| 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 | 101 | 2023 |
| 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 | 100 | 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 | 99 | 2023 |
| 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 | 89 | 2022 |
| 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 | 76 | 2023 |
| 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 | 39 | 2021 |
| 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 | 38 | 2022 |
| 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 | 36 | 2018 |
| NTIRE 2023 challenge on image denoising: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, Z Tu, K Du, H Wang, H Chen, W Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
Luc Van Goolprofessor computer vision ETHZ,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐПотвърден имейл адрес: insait.ai
