All Publications

2018
Kawetzki, D (2018). Semantic Segmentation Of Urban Scenes Using Deep Learning. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Schimmel, F (2018). Learnability Of Approximated Graph Cut Segmentation. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Erb, W, Weinmann, A, Ahlborg, M, Brandt, C, Bringout, G, Buzug, T M, Frikel, J, Kaethner, C, Knopp, T, März, T, Möddel, M, Storath, M and Weber, A (2018). Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging. Inverse Problems. 34 Google Scholar BibTeX RTF EndNote XML
Lang, S and Ommer, B (2018). Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods. Arts, Computational Aesthetics. 7, 64 Google Scholar BibTeX RTF EndNote XML arts-07-00064.pdf (4.6 MB)
Sanakoyeu, A, Bautista, M and Ommer, B (2018). Deep Unsupervised Learning of Visual Similarities. Pattern Recognition. 78. https://authors.elsevier.com/a/1WXUt77nKSb25 DOI Google Scholar BibTeX RTF EndNote XML PDF (8.35 MB)
Haller, S, Swoboda, P and Savchynskyy, B (2018). Exact MAP-Inference by Confining Combinatorial Search With LP Relaxation. Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018. AAAI Press. https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16379 Google Scholar BibTeX RTF EndNote XML 2018-02-02_aaai_dense_combilp.pdf (325.08 KB)
Kiechle, M, Storath, M, Weinmann, A and Kleinsteuber, M (2018). Model-based learning of local image features for unsupervised texture segmentation. IEEE Transactions on Image Processing. 27 1994-2007 Google Scholar BibTeX RTF EndNote XML
Vianello, A, Ackermann, J, Diebold, M and Jähne, B (2018). Robust Hough transform based 3D reconstruction from circular light fields. Conference on Computer Vision and Pattern Recognition (CVPR) DOI Google Scholar BibTeX RTF EndNote XML
Storath, M and Weinmann, A (2018). Fast median filtering for phase or orientation data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40 639–652 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (7.32 MB)
Kunz, J and Jähne, B (2018). Investigating small scale air-sea exchange processes via thermography. Front. Mech. Eng. 26 DOI Google Scholar BibTeX RTF EndNote XML
Bopp, M (2018). Air-Flow and Stress Partitioning over Wind Waves in a Linear Wind-Wave Facility. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, Heidelberg. Dissertation DOI Google Scholar BibTeX RTF EndNote XML
Roth, N (2018). Visualization Of Near-Surface Flow Patterns For Air-Water Gas Transfer. Institut für Umweltphysik, Universität Heidelberg, Germany DOI Google Scholar BibTeX RTF EndNote XML

2017
Kruse, J, Rother, C, Schmidt, U and Dresden, T U (2017). Learning To Push The Limits Of Efficient Fft-Based Image Deconvolution - Supplemental Material Google Scholar BibTeX RTF EndNote XML
Balluff, B, Hanselmann, M and Heeren, R M A (2017). Mass spectrometry imaging for the investigation of intratumor heterogeneity. Advances in Cancer Research. Elsevier. 134 201-230 DOI Google Scholar BibTeX RTF EndNote XML
Storath, M, Weinmann, A and Unser, M (2017). Jump-penalized least absolute values estimation of scalar or circle-valued signals. Information and Inference. 6 225–245 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.4 MB)
Beier, T, Pape, C, Rahaman, N, Prange, T, Berg, S, Bock, D, Cardona, A, Knott, G W, Plaza, S M, Scheffer, L K, Köthe, U, Kreshuk, A and Hamprecht, F A (2017). Multicut brings automated neurite segmentation closer to human performance. Nature Methods. 14 101-102. http://rdcu.be/oVDQ DOI Google Scholar BibTeX RTF EndNote XML
Ufer, N and Ommer, B (2017). Deep Semantic Feature Matching. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Google Scholar BibTeX RTF EndNote XML article (8.88 MB)
Brattoli, B, Büchler, U, Wahl, A - S, Schwab, M E and Ommer, B (2017). LSTM Self-Supervision for Detailed Behavior Analysis. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (BB and UB contributed equally) Google Scholar BibTeX RTF EndNote XML Article (8.75 MB)
Haußmann, M, Hamprecht, F A and Kandemir, M (2017). Variational Bayesian Multiple Instance Learning with Gaussian Processes. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 6570-6579 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.29 MB)
Haller, A (2017). Interactive Watershed Based Segmentation For Biological Images. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Vianello, A, Manfredi, G, Diebold, M and Jähne, B (2017). 3D reconstruction by a combined structure tensor and Hough transform light field approach. tm - Technisches Messen DOI Google Scholar BibTeX RTF EndNote XML
Storath, M, Rickert, D, Unser, M and Weinmann, A (2017). Fast segmentation from blurred data in 3D fluorescence microscopy. IEEE Transactions on Image Processing. 26 DOI Google Scholar BibTeX RTF EndNote XML
Brosowsky, M (2017). Cluster Resolving For Animal Tracking: Multi Hypotheses Tracking With Part Based Model For Object Hypotheses Generation And Pose Estimation. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Krasowki, N, Beier, T, Knott, G W, Köthe, U, Hamprecht, F A and Kreshuk, A (2017). Neuron Segmentation with High-Level Biological Priors. IEEE Transactions on Medical Imaging. 37 DOI Google Scholar BibTeX RTF EndNote XML
Kandemir, M, Hamprecht, F A, Wojek, C and Schmidt, U (2017). Active machine learning for training an event classification. Patent, Patent Number WO2017032775 A1 Google Scholar BibTeX RTF EndNote XML
Kandemir, M, Hamprecht, F A, Wojek, C and Schmidt, U (2017). Maschinelles Lernen. Patent, Patent Number WO2017032775A1 Google Scholar BibTeX RTF EndNote XML Technical Report (317.04 KB)
Haubold, C, Uhlmann, V, Unser, M and Hamprecht, F A (2017). Diverse M-best Solutions by Dynamic Programming. GCPR. Proceedings. Springer. LNCS 10496 255-267 DOI Google Scholar BibTeX RTF EndNote XML
Bautista, M, Fuchs, P and Ommer, B (2017). Learning Where to Drive by Watching Others. Proceedings of the German Conference Pattern Recognition. Springer-Verlag, Basel. 1 Google Scholar BibTeX RTF EndNote XML
Peter, S, Diego, F, Hamprecht, F A and Nadler, B (2017). Cost-efficient Gradient Boosting. NIPS, poster Google Scholar BibTeX RTF EndNote XML
Storath, M, Brandt, C, Hofmann, M, Knopp, T, Salamon, J, Weber, A and Weinmann, A (2017). Edge preserving and noise reducing reconstruction for magnetic particle imaging. IEEE Transactions on Medical Imaging. 36 74 - 85 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.43 MB)
Krause, G (2017). Correlation Of Performance And Entropy In Active Learning With Convolutional Neural Networks. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Weiler, M (2017). Learning Steerable Filters For Rotation Equivariant Convolutional Neural Networks. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Neigel, P (2017). Self-Similarity Based Detection Of Temporal Motifs In Multivariate Signals. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Pape, C, Beier, T, Li, P, Jain, V, Brock, D D and Kreshuk, A (2017). Solving Large Multicut Problems for Connectomics via Domain Decomposition. Bioimage Computing Workshop. ICCV. 1-10 DOI Google Scholar BibTeX RTF EndNote XML
Wolf, S, Schott, L, Köthe, U and Hamprecht, F A (2017). Learned Watershed: End-to-End Learning of Seeded Segmentation. ICCV. 2030-2038 Google Scholar BibTeX RTF EndNote XML Technical Report (3.76 MB)
Ulman, V, Maška, M, Magnusson, K E G, Ronneberger, O, Haubold, C, Harder, N, Matula, P, Matula, P, Svoboda, D, Radojevic, M, Smal, I, Rohr, K, Jaldén, J, Blau, H M, Dzyubachyk, O, Lelieveldt, B, Xiao, P, Li, Y, Cho, S - Y, Dufour, A, Olivo-Marin, J C, Reyes-Aldasoro, C C, Solis-Lemus, J A, Bensch, R, Brox, T, Stegmaier, J, Mikut, R, Wolf, S, Hamprecht, F A, Esteves, T, Quelhas, P, Demirel, Ö, Malström, L, Jug, F, Tomančák, P, Meijering, E, Muñoz-Barrutia, A, Kozubek, M and Ortiz-de-Solorzano, C (2017). An Objective Comparison of Cell Tracking Algorithms. Nature Methods. 14 1141-1152 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (4.24 MB)
Uhlmann, V, Haubold, C, Hamprecht, F A and Unser, M (2017). Diverse Shortest Paths for Bioimage Analysis. Bioinformatics. 1-3 DOI Google Scholar BibTeX RTF EndNote XML
Peter, S, Kirschbaum, E, Both, M, Campbell, L A, Harvey, B K, Heins, C, Durstewitz, D, Diego, F and Hamprecht, F A (2017). Sparse convolutional coding for neuronal assembly detection. NIPS, poster Google Scholar BibTeX RTF EndNote XML
Milbich, T, Bautista, M, Sutter, E and Ommer, B (2017). Unsupervised Video Understanding by Reconciliation of Posture Similarities. Proceedings of the IEEE International Conference on Computer Vision (ICCV). https://hciweb.iwr.uni-heidelberg.de/compvis/research/tmilbich_iccv17 Google Scholar BibTeX RTF EndNote XML
Sümer, Ö, Dencker, T and Ommer, B (2017). Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. Proceedings of the IEEE International Conference on Computer Vision (ICCV) Google Scholar BibTeX RTF EndNote XML Paper (3.98 MB) Supplementary Material (3.36 MB)

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2018

2017

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