Radu Timofte
Radu Timofte
University of Würzburg & ETH Zurich
Email confirmado em vision.ee.ethz.ch - Página inicial
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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
13532014
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
12042013
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
11902017
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
8542017
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
7642011
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
7342012
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
6052018
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
5142015
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
4242010
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
3882014
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
388*2009
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
3622016
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
3352013
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
3172019
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
3172017
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
2852018
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
2792017
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
2762018
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
2752019
Fast optical flow using dense inverse search
T Kroeger, R Timofte, D Dai, L Van Gool
European Conference on Computer Vision, 471-488, 2016
2572016
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