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Fredrik K. Gustafsson
Fredrik K. Gustafsson
Postdoctoral Researcher, Karolinska Institutet
E-mail confirmado em ki.se - Página inicial
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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
3662020
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
3552020
Image restoration with mean-reverting stochastic differential equations
Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön
arXiv preprint arXiv:2301.11699, 2023
1782023
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
1102023
Controlling vision-language models for multi-task image restoration
Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön
arXiv preprint arXiv:2310.01018, 2023
90*2023
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
802023
Energy-based models for deep probabilistic regression
FK Gustafsson, M Danelljan, G Bhat, TB Schön
European Conference on Computer Vision, 325-343, 2020
782020
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
572024
How to train your energy-based model for regression
FK Gustafsson, M Danelljan, R Timofte, TB Schön
arXiv preprint arXiv:2005.01698, 2020
432020
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
212023
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
192023
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
172021
Automotive 3D object detection without target domain annotations
F Gustafsson, E Linder-Norén
172018
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
152024
Deep energy-based NARX models
JN Hendriks, FK Gustafsson, AH Ribeiro, AG Wills, TB Schön
IFAC-PapersOnLine 54 (7), 505-510, 2021
132021
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
132021
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
82024
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
72023
Control of inverted double pendulum using reinforcement learning
F Gustafsson
Retrieved from Stanford University CS229, 2016
72016
Evaluating regression and probabilistic methods for ECG-based electrolyte prediction
P von Bachmann, D Gedon, FK Gustafsson, AH Ribeiro, E Lampa, ...
Scientific Reports 14 (1), 15273, 2024
5*2024
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