Robust and Efficient Kernel Hyperparameter Paths with Guarantees. - Joachim Giesen; Sören Laue; Patrick Wieschollek (ICML, 2014)

End-to-End Learning for Image Burst Deblurring. - Patrick Wieschollek; Bernhard Schölkopf; Hendrik P. A. Lensch; Michael Hirsch 001 (ACCV (4), 2016)

Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU. - Patrick Wieschollek; Oliver Wang; Alexander Sorkine-Hornung; Hendrik P. A. Lensch (CVPR, 2016)

Robust Video Synchronization using Unsupervised Deep Learning. - Ido Freeman; Patrick Wieschollek; Hendrik P. A. Lensch (CoRR, 2016)

Will People Like Your Image? - Katharina Schwarz; Patrick Wieschollek; Hendrik P. A. Lensch (CoRR, 2016)

Transfer Learning for Material Classification using Convolutional Networks. - Patrick Wieschollek; Hendrik P. A. Lensch (CoRR, 2016)

Learning Blind Motion Deblurring. - Patrick Wieschollek; Michael Hirsch 001; Bernhard Schölkopf; Hendrik P. A. Lensch (ICCV, 2017)

Learning Robust Video Synchronization without Annotations. - Patrick Wieschollek; Ido Freeman; Hendrik P. A. Lensch (ICMLA, 2017)

Backpropagation Training for Fisher Vectors within Neural Networks. - Patrick Wieschollek; Fabian Groh; Hendrik P. A. Lensch (CoRR, 2017)

Flex-Convolution - Million-Scale Point-Cloud Learning Beyond Grid-Worlds. - Fabian Groh; Patrick Wieschollek; Hendrik P. A. Lensch (ACCV (1), 2018)

Separating Reflection and Transmission Images in the Wild. - Patrick Wieschollek; Orazio Gallo; Jinwei Gu; Jan Kautz (ECCV (13), 2018)

Will People Like Your Image? Learning the Aesthetic Space. - Katharina Schwarz; Patrick Wieschollek; Hendrik P. A. Lensch (WACV, 2018)

Flex-Convolution (Deep Learning Beyond Grid-Worlds). - Fabian Groh; Patrick Wieschollek; Hendrik P. A. Lensch (CoRR, 2018)

Learning From Multi-Frame Data. - Patrick Wieschollek (2020)

GGNN: Graph-Based GPU Nearest Neighbor Search. - Fabian Groh; Lukas Ruppert; Patrick Wieschollek; Hendrik P. A. Lensch (IEEE Trans. Big Data, 2023)