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Radu Timofte
Radu Timofte
Humboldt Professor for AI and Computer Vision, University of Würzburg
Verified email at uni-wuerzburg.de - Homepage
Title
Cited by
Cited by
Year
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
53892021
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
48482017
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
25662022
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
23272017
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
18562014
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
18182011
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
17302019
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
16602013
Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark
S Houben, J Stallkamp, J Salmen, M Schlipsing, C Igel
The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013
14492013
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
13212021
The ninth visual object tracking vot2021 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
11882021
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
11672018
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
10582021
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
985*2012
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
9762015
Probabilistic regression for visual tracking
M Danelljan, LV Gool, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
8872020
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
8692018
Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion
Z Zhao, H Bai, J Zhang, Y Zhang, S Xu, Z Lin, R Timofte, L Van Gool
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
8462023
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
8392020
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
Y Cai, H Bian, J Lin, H Wang, R Timofte, Y Zhang
International Conference on Computer Vision (ICCV); arXiv preprint arXiv …, 2023
8072023
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Articles 1–20