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Radu Timofte
Radu Timofte
Humboldt Professor for AI and Computer Vision, University of Würzburg
Bestätigte E-Mail-Adresse bei uni-wuerzburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
NTIRE 2017 challenge on single image super-resolution: Dataset and study
E Agustsson, R Timofte
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
35722017
SwinIR: Image restoration using swin transformer
J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte
ICCV Workshops; code: https://github.com/JingyunLiang/SwinIR, 2021
29762021
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
20782017
A+: Adjusted anchored neighborhood regression for fast super-resolution
R Timofte, V De Smet, L Van Gool
Asian conference on computer vision, 111-126, 2014
17502014
Anchored neighborhood regression for fast example-based super-resolution
R Timofte, V De Smet, L Van Gool
Proceedings of the IEEE international conference on computer vision, 1920-1927, 2013
15612013
The German traffic sign recognition benchmark: a multi-class classification competition
J Stallkamp, M Schlipsing, J Salmen, C Igel
The 2011 international joint conference on neural networks, 1453-1460, 2011
14192011
Learning discriminative model prediction for tracking
G Bhat, M Danelljan, LV Gool, R Timofte
Proceedings of the IEEE International Conference on Computer Vision, 6182-6191, 2019
13502019
Repaint: Inpainting using denoising diffusion probabilistic models
A Lugmayr, M Danelljan, A Romero, F Yu, R Timofte, L Van Gool
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
12552022
Deep expectation of real and apparent age from a single image without facial landmarks
R Rothe, R Timofte, L Van Gool
International Journal of Computer Vision (IJCV), 2018
10312018
Dex: Deep expectation of apparent age from a single image
R Rothe, R Timofte, L Van Gool
Proceedings of the IEEE international conference on computer vision …, 2015
8682015
Plug-and-play image restoration with deep denoiser prior
K Zhang, Y Li, W Zuo, L Zhang, L Van Gool, R Timofte
IEEE TPAMI, code: https://github.com/cszn/DPIR, 2021
8142021
Pedestrian detection at 100 frames per second
R Benenson, M Mathias, R Timofte, L Van Gool
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2903-2910, 2012
7952012
Probabilistic regression for visual tracking
M Danelljan, LV Gool, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
6682020
O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images
CO Ancuti, C Ancuti, R Timofte, C De Vleeschouwer
Proceedings of the IEEE conference on computer vision and pattern …, 2018
6622018
Deep unfolding network for image super-resolution
K Zhang, L Van Gool, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
6612020
DSLR-quality photos on mobile devices with deep convolutional networks
A Ignatov, N Kobyshev, R Timofte, K Vanhoey, L Van Gool
Proceedings of the IEEE International Conference on Computer Vision, 3277-3285, 2017
6382017
The 2018 pirm challenge on perceptual image super-resolution
Y Blau, R Mechrez, R Timofte, T Michaeli, L Zelnik-Manor
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
6262018
Generative adversarial networks for extreme learned image compression
E Agustsson, M Tschannen, F Mentzer, R Timofte, LV Gool
Proceedings of the IEEE/CVF International Conference on Computer Vision, 221-231, 2019
6252019
Soft-to-hard vector quantization for end-to-end learning compressible representations
E Agustsson, F Mentzer, M Tschannen, L Cavigelli, R Timofte, L Benini, ...
Advances in Neural Information Processing Systems, 1141-1151, 2017
5922017
Designing a practical degradation model for deep blind image super-resolution
K Zhang, J Liang, L Van Gool, R Timofte
ICCV 2021; arXiv preprint arXiv:2103.14006, 2021
5822021
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