A PhD student at Empirical Inference Department at Max Planck Institute and University Tübingen with focus on Machine Learning and Massively Parallel Computing with applications in Computer Graphics and Computer Vision. My main area of interests are developing efficient and robust Machine Learning tools for applications in Computer Graphics and Computer Vision.
Groh*, F., Wieschollek*, P., Lensch, H. P. A.
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)
Computer Vision - 14th Asian Conference on Computer Vision (ACCV), December 2018, *equal contribution (conference) Accepted
Wieschollek, P., Gallo, O., Gu, J., Kautz, J.
Separating Reflection and Transmission Images in the Wild
European Conference on Computer Vision (ECCV), September 2018 (conference)
Schwarz, K., Wieschollek, P., Lensch, H. P. A.
Will People Like Your Image? Learning the Aesthetic Space
In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pages: 2048 - 2057, March 2018 (inproceedings)
Wieschollek, P., Freeman, I., Lensch, H. P. A.
Learning Robust Video Synchronization without Annotations
16th IEEE International Conference on Machine Learning and Applications (ICMLA), pages: 92 - 100, (Editors: X. Chen, B. Luo, F. Luo, V. Palade, and M. A. Wani), IEEE, December 2017 (conference)
Wieschollek, P., Hirsch, M., Schölkopf, B., Lensch, H.
Learning Blind Motion Deblurring
Proceedings IEEE International Conference on Computer Vision (ICCV), pages: 231-240, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (conference)
Wieschollek, P., Schölkopf, B., Lensch, H. P. A., Hirsch, M.
End-to-End Learning for Image Burst Deblurring
Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, 10114, pages: 35-51, Image Processing, Computer Vision, Pattern Recognition, and Graphics, (Editors: Lai, S.-H., Lepetit, V., Nishino, K., and Sato, Y. ), Springer, 2017 (conference)
Wieschollek, P., Wang, O., Sorkine-Hornung, A., Lensch, H. P. A.
Efficient Large-scale Approximate Nearest Neighbor Search on the GPU
29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages: 2027 - 2035, IEEE, June 2016 (conference)
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