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Patrick Wieschollek
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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
1312018
Learning blind motion deblurring
P Wieschollek, M Hirsch, B Scholkopf, H Lensch
Proceedings of the IEEE international conference on computer vision, 231-240, 2017
1272017
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
77*2016
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
53*2018
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
452018
End-to-end learning for image burst deblurring
P Wieschollek, B Schölkopf, HPA Lensch, M Hirsch
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
402017
Transfer learning for material classification using convolutional networks
P Wieschollek, H Lensch
arXiv preprint arXiv:1609.06188, 2016
162016
CppOptimizationLibrary
P Wieschollek
https://github.com/PatWie/CppNumericalSolvers, 2016
122016
Robust Video Synchronization using Unsupervised Deep Learning
I Freeman, P Wieschollek, H Lensch
ICMLA 2017, 2016
12*2016
Ggnn: Graph-based gpu nearest neighbor search
F Groh, L Ruppert, P Wieschollek, HPA Lensch
IEEE Transactions on Big Data 9 (1), 267-279, 2022
112022
Robust and efficient kernel hyperparameter paths with guarantees
J Giesen, S Laue, P Wieschollek
International Conference on Machine Learning, 1296-1304, 2014
102014
Backpropagation training for fisher vectors within neural networks
P Wieschollek, F Groh, H Lensch
arXiv preprint arXiv:1702.02549, 2017
52017
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
32020
Learning From Multi-Frame Data
P Wieschollek
Universität Tübingen, 2020
2020
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