Radu Timofte
Radu Timofte
ETH Zurich (previously at KU Leuven)
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
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
10412014
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
9612013
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
6802012
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
5832011
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
5452017
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
4862017
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
4062018
Hough transform and 3D SURF for robust three dimensional classification
J Knopp, M Prasad, G Willems, R Timofte, L Van Gool
European Conference on Computer Vision, 589-602, 2010
3852010
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
3592015
Multi-view traffic sign detection, recognition, and 3D localisation
R Timofte, K Zimmermann, L Van Gool
Machine vision and applications 25 (3), 633-647, 2014
3332014
Multi-view traffic sign detection, recognition, and 3d localisation
R Timofte, K Zimmermann, L Van Gool
IEEE Workshop on Applications of Computer Vision (WACV), 2009
333*2009
Traffic sign recognition—How far are we from the solution?
M Mathias, R Timofte, R Benenson, L Van Gool
The 2013 international joint conference on Neural networks (IJCNN), 1-8, 2013
2892013
Seven ways to improve example-based single image super resolution
R Timofte, R Rothe, L Van Gool
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2792016
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
1892017
Fast optical flow using dense inverse search
T Kroeger, R Timofte, D Dai, L Van Gool
European Conference on Computer Vision, 471-488, 2016
1672016
Conditional probability models for deep image compression
F Mentzer, E Agustsson, M Tschannen, R Timofte, L Van Gool
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1582018
Generative adversarial networks for extreme learned image compression
E Agustsson, M Tschannen, F Mentzer, R Timofte, LV Gool
Proceedings of the IEEE International Conference on Computer Vision, 221-231, 2019
1502019
Jointly Optimized Regressors for Image Super-resolution
D Dai, R Timofte, L Van Gool
Computer Graphics Forum 34 (2), 95-104, 2015
1412015
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
1402017
Handling occlusions with franken-classifiers
M Mathias, R Benenson, R Timofte, L Van Gool
Proceedings of the IEEE International Conference on Computer Vision, 1505-1512, 2013
1342013
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Articles 1–20