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Empirical Inference Members Publications

2019 Progress Report

2019 Progress Report

Members

Empirical Inference
Michael Hirsch
Affiliated Researcher
Empirical Inference
Bernhard Schölkopf
  • Director
Empirical Inference
Eduardo Pérez-Pellitero
  • Postdoctoral Researcher
Empirical Inference
Tae Hyun Kim
Postdoctoral Researcher
Empirical Inference
Mehdi S. M. Sajjadi
Empirical Inference
Matthias Bauer
  • Doctoral Researcher
Empirical Inference
Chaochao Lu
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Empirical Inference
Patrick Wieschollek
Empirical Inference
Muhammad Waleed Gondal
Empirical Inference
Alexander Loktyushin
  • Research Scientist
Empirical Inference
Kristof Meding
  • Postdoctoral Researcher
Empirical Inference
Heiner Kremer
  • Doctoral Researcher
Empirical Inference
Lennart Schlieder
  • Doctoral Researcher

Publications

Empirical Inference Conference Paper Flex-Convolution Groh*, F., Wieschollek*, P., Lensch, H. P. A. Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, 11361:105-122, Lecture Notes in Computer Science, (Editors: Jawahar, C. V. and Li, Hongdong and Mori, Greg and Schindler, Konrad), Springer International Publishing, December 2019, *equal contribution (Published) DOI BibTeX
Empirical Inference Conference Paper Separating Reflection and Transmission Images in the Wild Wieschollek, P., Gallo, O., Gu, J., Kautz, J. European Conference on Computer Vision (ECCV), Part XIII, 11217:90-105, Lecture Notes in Computer Science, (Editors: Vittorio Ferrari and Martial Hebert and Cristian Sminchisescu and Yair Weiss), Springer, September 2018 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Spatio-temporal Transformer Network for Video Restoration Kim, T. H., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. 15th European Conference on Computer Vision (ECCV), Part III, 11207:111-127, Lecture Notes in Computer Science, (Editors: Vittorio Ferrari, Martial Hebert,Cristian Sminchisescu and Yair Weiss), Springer, September 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution Gondal, M. W., Schölkopf, B., Hirsch, M. Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), September 2018 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Learning-based solution to phase error correction in T2*-weighted GRE scans Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. 1st International conference on Medical Imaging with Deep Learning (MIDL), July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Tempered Adversarial Networks Sajjadi, M. S. M., Parascandolo, G., Mehrjou, A., Schölkopf, B. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:4448-4456, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Frame-Recurrent Video Super-Resolution Sajjadi, M. S. M., Vemulapalli, R., Brown, M. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 6626-6634, June 2018 (Published) ArXiv DOI URL BibTeX
Empirical Inference Optics and Sensing Laboratory Conference Paper Automatic Estimation of Modulation Transfer Functions Bauer, M., Volchkov, V., Hirsch, M., Schölkopf, B. IEEE International Conference on Computational Photography (ICCP), 1-12, May 2018 (Published) DOI BibTeX
Empirical Inference Article Autofocusing-based phase correction Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. Magnetic Resonance in Medicine, 80(3):958-968, 2018 (Published) DOI BibTeX
Empirical Inference Article Discriminative Transfer Learning for General Image Restoration Xiao, L., Heide, F., Heidrich, W., Schölkopf, B., Hirsch, M. IEEE Transactions on Image Processing, 27(8):4091-4104, 2018 (Published) DOI BibTeX
Empirical Inference Poster Photorealistic Video Super Resolution Pérez-Pellitero, E., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), 2018 (Published) BibTeX
Empirical Inference Poster Retinal image quality of the human eye across the visual field Meding, K., Hirsch, M., Wichmann, F. A. 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (Published) BibTeX
Empirical Inference Conference Paper End-to-End Learning for Image Burst Deblurring Wieschollek, P., Schölkopf, B., Lensch, H. P. A., Hirsch, M. Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, 10114:35-51, Image Processing, Computer Vision, Pattern Recognition, and Graphics, (Editors: Lai, S.-H., Lepetit, V., Nishino, K., and Sato, Y. ), Springer, November 2017 (Published) BibTeX
Empirical Inference Conference Paper Learning Blind Motion Deblurring Wieschollek, P., Hirsch, M., Schölkopf, B., Lensch, H. Proceedings IEEE International Conference on Computer Vision (ICCV), 231-240, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Online Video Deblurring via Dynamic Temporal Blending Network Kim, T. H., Lee, K. M., Schölkopf, B., Hirsch, M. Proceedings IEEE International Conference on Computer Vision (ICCV), 4038-4047, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (Published) URL BibTeX
Empirical Inference Conference Paper EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis Sajjadi, M. S. M., Schölkopf, B., Hirsch, M. Proceedings IEEE International Conference on Computer Vision (ICCV), 4501-4510, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (Published) Arxiv Project DOI URL BibTeX
Empirical Inference Poster Improving performance of linear field generation with multi-coil setup by optimizing coils position Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K. Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2017), October 2017 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Weakly-Supervised Localization of Diabetic Retinopathy Lesions in Retinal Fundus Images Gondal, M. W., Köhler, J. M., Grzeszick, R., Fink, G., Hirsch, M. IEEE International Conference on Image Processing (ICIP), 2069-2073, September 2017 (Published) arXiv DOI BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Dynamic Time-of-Flight Schober, M., Adam, A., Yair, O., Mazor, S., Nowozin, S. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 170-179, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper Flexible Spatio-Temporal Networks for Video Prediction Lu, C., Hirsch, M., Schölkopf, B. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2137-2145, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (Published) DOI URL BibTeX
Empirical Inference Article A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation Katiyar, P., Divine, M. R., Kohlhofer, U., Quintanilla-Martinez, L., Schölkopf, B., Pichler, B. J., Disselhorst, J. A. Molecular Imaging and Biology, 19(3):391-397, 2017 (Published) DOI BibTeX
Empirical Inference Article BundleMAP: Anatomically Localized Classification, Regression, and Hypothesis Testing in Diffusion MRI Khatami, M., Schmidt-Wilcke, T., Sundgren, P. C., Abbasloo, A., Schölkopf, B., Schultz, T. Pattern Recognition, 63:593-600, 2017 (Published) DOI BibTeX
Empirical Inference Article Spectral Clustering predicts tumor tissue heterogeneity using dynamic 18F-FDG PET: a complement to the standard compartmental modeling approach Katiyar, P., Divine, M. R., Kohlhofer, U., Quintanilla-Martinez, L., Schölkopf, B., Pichler, B. J., Disselhorst, J. A. Journal of Nuclear Medicine, 58(4):651-657, 2017 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs Xiao, L., Wang, J., Heidrich, W., Hirsch, M. Computer Vision - ECCV 2016, Lecture Notes in Computer Science, LNCS 9907, Part III:734-749, (Editors: Bastian Leibe, Jiri Matas, Nicu Sebe and Max Welling), Springer, October 2016 DOI BibTeX
Empirical Inference Conference Paper Depth Estimation Through a Generative Model of Light Field Synthesis Sajjadi, M. S. M., Köhler, R., Schölkopf, B., Hirsch, M. Pattern Recognition - 38th German Conference (GCPR), 9796:426-438, Lecture Notes in Computer Science, (Editors: Rosenhahn, B. and Andres, B.), Springer International Publishing, September 2016 Arxiv Project DOI URL BibTeX
Empirical Inference Conference Paper Efficient Large-scale Approximate Nearest Neighbor Search on the GPU Wieschollek, P., Wang, O., Sorkine-Hornung, A., Lensch, H. P. A. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2027 - 2035, IEEE, June 2016 (Published) DOI BibTeX
Empirical Inference Article A Population Based Gaussian Mixture Model Incorporating 18F-FDG-PET and DW-MRI Quantifies Tumor Tissue Classes Divine, M. R., Katiyar, P., Kohlhofer, U., Quintanilla-Martinez, L., Disselhorst, J. A., Pichler, B. J. Journal of Nuclear Medicine, 57(3):473-479, 2016 DOI BibTeX
Empirical Inference Article Learning to Deblur Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7):1439-1451, IEEE, 2016 (Published) DOI BibTeX