Patrick Wieschollek
Patrick Wieschollek
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Title
Cited by
Cited by
Year
Learning blind motion deblurring
P Wieschollek, M Hirsch, B Scholkopf, H Lensch
Proceedings of the IEEE International Conference on Computer Vision, 231-240, 2017
752017
Efficient large-scale approximate nearest neighbor search on the gpu
P Wieschollek, O Wang, A Sorkine-Hornung, H Lensch
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
49*2016
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
F Groh, P Wieschollek, H Lensch
Proceedings of the Asian Conference on Computer Vision (ACCV), 2018
32*2018
End-to-end learning for image burst deblurring
P Wieschollek, B Schölkopf, HPA Lensch, M Hirsch
asian conference on computer vision, 35-51, 2016
272016
Will people like your image? learning the aesthetic space
K Schwarz, P Wieschollek, HPA Lensch
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2048-2057, 2018
252018
Separating reflection and transmission images in the wild
P Wieschollek, O Gallo, J Gu, J Kautz
Proceedings of the European Conference on Computer Vision (ECCV), 89-104, 2018
172018
Transfer learning for material classification using convolutional networks
P Wieschollek, H Lensch
arXiv preprint arXiv:1609.06188, 2016
82016
Flex-convolution (deep learning beyond grid-worlds)
F Groh, P Wieschollek, HPA Lensch
arXiv preprint arXiv:1803.07289 2, 2018
72018
Robust Video Synchronization using Unsupervised Deep Learning
I Freeman, P Wieschollek, H Lensch
ICMLA 2017, 2016
7*2016
Robust and efficient kernel hyperparameter paths with guarantees
J Giesen, S Laue, P Wieschollek
International Conference on Machine Learning, 1296-1304, 2014
72014
Will people like your image?
K Schwarz, P Wieschollek, HPA Lensch
arXiv preprint arXiv:1611.05203, 2016
62016
CppOptimizationLibrary
P Wieschollek
https://github.com/PatWie/CppNumericalSolvers, 2016
42016
Backpropagation Training for Fisher Vectors within Neural Networks
P Wieschollek, F Groh, H Lensch
arXiv preprint arXiv:1702.02549, 2017
12017
Deep-learning method for separating reflection and transmission images visible at a semi-reflective surface in a computer image of a real-world scene
O Gallo, J Gu, J Kautz, P Wieschollek
US Patent 10,762,620, 2020
2020
GGNN: Graph-based GPU Nearest Neighbor Search
F Groh, L Ruppert, P Wieschollek, H Lensch
arXiv preprint arXiv:1912.01059, 2019
2019
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