| Evaluating scalable bayesian deep learning methods for robust computer vision FK Gustafsson, M Danelljan, TB Schon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 366 | 2020 |
| The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 365 | 2020 |
| Image restoration with mean-reverting stochastic differential equations Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön arXiv preprint arXiv:2301.11699, 2023 | 166 | 2023 |
| Refusion: Enabling large-size realistic image restoration with latent-space diffusion models Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 101 | 2023 |
| Controlling vision-language models for multi-task image restoration Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön International Conference on Learning Representations, 2024 | 86* | 2024 |
| NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, M Cheng, H Ma, Q Ma, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| Energy-based models for deep probabilistic regression FK Gustafsson, M Danelljan, G Bhat, TB Schön Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 78 | 2020 |
| NTIRE 2024 image shadow removal challenge report FA Vasluianu, T Seizinger, Z Zhou, Z Wu, C Chen, R Timofte, W Dong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 56 | 2024 |
| How to train your energy-based model for regression FK Gustafsson, M Danelljan, R Timofte, TB Schön arXiv preprint arXiv:2005.01698, 2020 | 44 | 2020 |
| Lens-to-lens bokeh effect transformation. NTIRE 2023 challenge report MV Conde, M Kolmet, T Seizinger, TE Bishop, R Timofte, X Kong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| Automotive 3D object detection without target domain annotations F Gustafsson, E Linder-Norén | 17 | 2018 |
| NTIRE 2023 HR nonhomogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, H Zhou, W Dong, Y Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI T Langner, FK Gustafsson, B Avelin, R Strand, H Ahlström, J Kullberg Computerized Medical Imaging and Graphics 93, 101994, 2021 | 16 | 2021 |
| Deep energy-based NARX models JN Hendriks, FK Gustafsson, AH Ribeiro, AG Wills, TB Schön IFAC-PapersOnLine 54 (7), 505-510, 2021 | 16 | 2021 |
| NTIRE 2024 restore any image model (RAIM) in the wild challenge J Liang, R Timofte, Q Yi, S Liu, L Sun, R Wu, X Zhang, H Zeng, L Zhang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Accurate 3D object detection using energy-based models FK Gustafsson, M Danelljan, TB Schon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Control of inverted double pendulum using reinforcement learning F Gustafsson Retrieved from Stanford University CS229, 2016 | 7 | 2016 |
| How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? FK Gustafsson, M Danelljan, TB Schön arXiv preprint arXiv:2302.03679, 2023 | 6 | 2023 |
| Learning proposals for practical energy-based regression FK Gustafsson, M Danelljan, TB Schön International Conference on Artificial Intelligence and Statistics, 4685-4704, 2022 | 5 | 2022 |
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se
