| Learning blind motion deblurring P Wieschollek, M Hirsch, B Scholkopf, H Lensch Proceedings of the IEEE international conference on computer vision, 231-240, 2017 | 121 | 2017 |
| 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 | 120 | 2018 |
| 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 | 75* | 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 | 42 | 2018 |
| 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 | 38 | 2017 |
| Transfer learning for material classification using convolutional networks P Wieschollek, H Lensch arXiv preprint arXiv:1609.06188, 2016 | 16 | 2016 |
| CppOptimizationLibrary P Wieschollek https://github.com/PatWie/CppNumericalSolvers, 2016 | 12 | 2016 |
| Robust Video Synchronization using Unsupervised Deep Learning I Freeman, P Wieschollek, H Lensch ICMLA 2017, 2016 | 11* | 2016 |
| Robust and efficient kernel hyperparameter paths with guarantees J Giesen, S Laue, P Wieschollek International Conference on Machine Learning, 1296-1304, 2014 | 10 | 2014 |
| 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 | 9 | 2022 |
| Backpropagation training for fisher vectors within neural networks P Wieschollek, F Groh, H Lensch arXiv preprint arXiv:1702.02549, 2017 | 5 | 2017 |
| 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 | 3 | 2020 |
| Learning From Multi-Frame Data P Wieschollek Dissertation, Tübingen, Universität Tübingen, 2020, 2020 | | 2020 |
Hendrik P. A. LenschProfessor of Computer Graphics, University of TübingenVerified email at uni-tuebingen.de
