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Manuel Fritsche
Manuel Fritsche
Bestätigte E-Mail-Adresse bei ethz.ch
Titel
Zitiert von
Zitiert von
Jahr
Frequency separation for real-world super-resolution
M Fritsche, S Gu, R Timofte
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
2112019
Aim 2019 challenge on real-world image super-resolution: Methods and results
A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ...
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
1032019
Div8k: Diverse 8k resolution image dataset
S Gu, A Lugmayr, M Danelljan, M Fritsche, J Lamour, R Timofte
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
542019
Efficient smoothing of dilated convolutions for image segmentation
T Ziegler, M Fritsche, L Kuhn, K Donhauser
arXiv preprint arXiv:1903.07992, 2019
222019
Aim 2019 challenge on real-world image super-resolution: Methods and results. In 2019 IEEE
A Lugmayr, M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, ...
CVF International Conference on Computer Vision Workshop (ICCVW), 3575-3583, 0
10
Using state predictions for value regularization in curiosity driven deep reinforcement learning
G Brunner, M Fritsche, O Richter, R Wattenhofer
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
62018
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results
M Danelljan, R Timofte, M Fritsche, S Gu, K Purohit, P Kandula, M Suin, ...
[Proceedings of the 2019 IEEE International Conference on Computer Vision …, 2019
2019
ICTAI 2018
Y Li, X Xie, G Brunner, M Fritsche, O Richter, R Wattenhofer
Rolling-Shutter-Aware Differential SfM and Image Rectification
M Fritsche, F Graule, T Ziegler
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning
M Fritsche
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