All Publications

2016
Kondermann, D, Nair, R, Honauer, K, Krispin, K, Andrulis, J, Brock, A, Güssefeld, B, Rahimimoghaddam, M, Hofmann, S, Brenner, C and Jähne, B (2016). The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops Google Scholar BibTeX RTF EndNote XML
Bautista, M, Sanakoyeu, A, Sutter, E and Ommer, B (2016). CliqueCNN: Deep Unsupervised Exemplar Learning. Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS). MIT Press, Barcelona. https://arxiv.org/abs/1608.08792 Google Scholar BibTeX RTF EndNote XML Article (5.79 MB)
Baust, M, Weinmann, A, Wieczorek, M, Lasser, T, Storath, M and Navab, N (2016). Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach. IEEE Transactions on Medical Imaging. 35 1972–1989 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (8.65 MB)
Schiegg, M, Diego, F and Hamprecht, F A (2016). Learning Diverse Models: The Coulomb Structured Support Vector Machine. ECCV. Proceedings. Springer. LNCS 9907 585-599 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.54 MB)
von Borstel, M, Kandemir, M, Schmidt, P, Rao, M, Rajamani, K and Hamprecht, F A (2016). Gaussian process density counting from weak supervision. ECCV. Proceedings. Springer. LNCS 9905 365-380 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.71 MB)
Kandemir, M, Haußmann, M, Diego, F, Rajamani, K, van der Laak, J and Hamprecht, F A (2016). Variational weakly-supervised Gaussian processes. BMVC. Proceedings Google Scholar BibTeX RTF EndNote XML Technical Report (3.28 MB)
Diego, F and Hamprecht, F A (2016). Structured Regression Gradient Boosting. CVPR. Proceedings. 1459-1467 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.97 MB)
Stefanoiu, A, Weinmann, A, Storath, M, Navab, N and Baust, M (2016). Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm. IEEE Transactions on Image Processing. 25 3384 - 3394 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.55 MB)
von Schmude, N, Lothe, P and Jähne, B (2016). Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications DOI Google Scholar BibTeX RTF EndNote XML
Kleesiek, J, Petersen, J, Döring, M, Maier-Hein, K, Köthe, U, Wick, W, Hamprecht, F A, Bendszus, M and Biller, A (2016). Virtual Raters for Reproducible and Objective Assessments in Radiology. Nature Scientific Reports. 6 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.81 MB)
Biller, A, Badde, S, Nagel, A, Neumann, J O, Wick, W, Hertenstein, A, Bendszus, M, Sahm, F, Benkhedah, N and Kleesiek, J (2016). Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression. American Journal of Neuroradiology. 37 66-73 DOI Google Scholar BibTeX RTF EndNote XML
Kleesiek, J, Urban, G, Hubert, A, Schwarz, D, Maier-Hein, K, Bendszus, M and Biller, A (2016). Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.. NeuroImage. 129 460-469 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.14 MB)

2015
Berger, J, Lenzen, F, Becker, F, Neufeld, A and Schnörr, C (2015). Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations. http://arxiv.org/abs/1507.06810 Google Scholar BibTeX RTF EndNote XML Technical Report (4.42 MB)
Kandemir, M and Hamprecht, F A (2015). The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors. NIPS. Proceedings. 44 145-159 Google Scholar BibTeX RTF EndNote XML Supplementary Material (223.39 KB) Technical Report (2.58 MB)
Krah, N, Testa, M, Brons, S, Jäkel, O, Parodi, K, Voss, B and Rinaldi, I (2015). An advanced image processing method to improve the spatial resolution of ion radiographies. Physics in Medicine and Biology. 60 8525. http://stacks.iop.org/0031-9155/60/i=21/a=8525 Google Scholar BibTeX RTF EndNote XML
Stapf, J (2015). Novel learning-based techniques for dense fluid motion measurements. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/18116 Google Scholar BibTeX RTF EndNote XML
Esparza, J (2015). 3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg Google Scholar BibTeX RTF EndNote XML
Berger, J, Neufeld, A, Becker, F, Lenzen, F and Schnörr, C (2015). Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations. Scale Space and Variational Methods in Computer Vision (SSVM 2015). Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-18461-6_32 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (364.01 KB)
Kandemir, M and Hamprecht, F A (2015). Cell event detection in phase-contrast microscopy sequences from few annotations. MICCAI. Proceedings. Springer. LNCS 9351 316-323 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (564.69 KB)
Kandemir, M (2015). Asymmetric transfer learning with deep Gaussian processes. ICML. Proceedings. 730-738 Google Scholar BibTeX RTF EndNote XML Technical Report (570.95 KB)
Kauppi, J P, Kandemir, M, Saarinen, V M, Hirvenkari, L, Parkkonen, L, Klami, A, Hari, R and Kaski, S (2015). Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage. 112 288-298 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.39 MB)
Beier, T, Hamprecht, F A and Kappes, J H (2015). Fusion Moves for Correlation Clustering. CVPR. Proceedings. 3507-3516 Google Scholar BibTeX RTF EndNote XML Technical Report (1.19 MB)
Antic, B and Ommer, B (2015). Per-Sample Kernel Adaptation for Visual Recognition and Grouping. Proceedings of the IEEE International Conference on Computer Vision. IEEE Google Scholar BibTeX RTF EndNote XML Technical Report (1.58 MB)
Rubio, J C, Eigenstetter, A and Ommer, B (2015). Generative Regularization with Latent Topics for Discriminative Object Recognition. Pattern Recognition. Elsevier. 48 3871--3880 Google Scholar BibTeX RTF EndNote XML Technical Report (5.49 MB)
Rubio, J C and Ommer, B (2015). Regularizing Max-Margin Exemplars by Reconstruction and Generative Models. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 4213--4221 Google Scholar BibTeX RTF EndNote XML Technical Report (2.8 MB)
Lenzen, F and Berger, J (2015). Solution-Driven Adaptive Total Variation Regularization. LNCS. Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-18461-6_17 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (857.29 KB)

2014
Zhang, C, Yarkony, J and Hamprecht, F A (2014). Cell detection and segmentation using correlation clustering. MICCAI. Proceedings. Springer. 9-16 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (8.06 MB)
Knorr, M, Esparza, J, Niehsen, W and Stiller, C (2014). Extrinsic calibration of a fisheye multi-camera setup using overlapping fields of view. Intelligent Vehicles Symposium Proceedings. 1276--1281 DOI Google Scholar BibTeX RTF EndNote XML
Kandemir, M and Hamprecht, F A (2014). Instance Label Prediction by Dirichlet Process Multiple Instance Learning. UAI. Proceedings Google Scholar BibTeX RTF EndNote XML Technical Report (4.26 MB)
Kandemir, M, Klami, A, Gonen, M, Vetek, A and Kaski, S (2014). Multi-task and multi-view learning of user state. Neurocomputing. 139 97-106 DOI Google Scholar BibTeX RTF EndNote XML
Kandemir, M, Rubio, J C, Schmidt, U, Welbl, J, Ommer, B and Hamprecht, F A (2014). Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures. MICCAI. Proceedings. Springer. 154-161 DOI Google Scholar BibTeX RTF EndNote XML Paper (2 MB)
Kandemir, M, Zhang, C and Hamprecht, F A (2014). Empowering multiple instance histopathology cancer diagnosis by cell graphs. MICCAI. Proceedings. Springer. 8674 228-235 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.76 MB)
Kondermann, D, Nair, R, Meister, S, Mischler, W, Güssefeld, B, Hofmann, S, Brenner, C and Jähne, B (2014). Stereo ground truth with error bars. Asian Conference on Computer Vision, ACCV 2014 Google Scholar BibTeX RTF EndNote XML
Kleesiek, J, Biller, A, Urban, G, Köthe, U, Bendszus, M and Hamprecht, F A (2014). ilastik for Multi-modal Brain Tumor Segmentation. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace. 12-17 Google Scholar BibTeX RTF EndNote XML Technical Report (405.91 KB)
Straehle, C N, Kandemir, M, Köthe, U and Hamprecht, F A (2014). Multiple instance learning with response-optimized random forests. ICPR. Proceedings. 3768 - 3773 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (296.66 KB)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2014). Partial Optimality by Pruning for MAP-inference with General GraphicalModels. CVPR. Proceedings. 1170-1177 DOI Google Scholar BibTeX RTF EndNote XML
Urban, G, Bendszus, M, Hamprecht, F A and Kleesiek, J (2014). Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution. 31-35 Google Scholar BibTeX RTF EndNote XML
Yarkony, J, Zhang, C and Fowlkes, C C (2014). Hierarchical Planar Correlation Clustering for Cell Segmentation. EMMCVPR. Proceedings. Springer. 8932 492-504 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (548.12 KB)
Güssefeld, B, Kondermann, D, Schwartz, C and Klein, R (2014). Are reflectance field renderings appropriate for optical flow evaluation?. International Conference on Image Processing, ICIP 2014 Google Scholar BibTeX RTF EndNote XML
Wanner, S and Goldlücke, B (2014). Variational light field analysis for disparity estimation and super-resolution. IEEE Trans. Pattern Analysis Machine Intelligence. 36 606--619 DOI Google Scholar BibTeX RTF EndNote XML

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