Publications

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Author Title Type [ Year(Asc)]
2016
Hosseini Jafari, O and Yang, M Ying (2016). Real-time RGB-D based template matching pedestrian detection. Proceedings - IEEE International Conference on Robotics and Automation. 2016-June 5520–5527
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
Haubold, C, Schiegg, M, Kreshuk, A, Berg, S, Köthe, U and Hamprecht, F A (2016). Segmenting and Tracking Multiple Dividing Targets Using ilastik. Focus on Bio-Image Informatics. Springer. 219 199-229PDF icon Technical Report (4.46 MB)
Rathore, D (2016). Semantic Segmentation Using Deep Learning. University of Heidelberg
Schwarz, K (2016). Spatio-Temporal Measurements Of Water-Wave Height And Slope Using Laser-Induced Fluorescence And Splines. Institut für Umweltphysik, Universität Heidelberg, Germany
Sellent, A, Rother, C and Roth, S (2016). Stereo video deblurring. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9906 LNCS 558–575
Sellent, A, Rother, C and Roth, S (2016). Stereo Video Deblurring-Supplemental Material
Kiem, A (2016). Structured Learning On Calcium Imaging Data. University of Heidelberg
Diego, F and Hamprecht, F A (2016). Structured Regression Gradient Boosting. CVPR. Proceedings. 1459-1467PDF icon Technical Report (3.97 MB)
Silvestri, F, Reinelt, G and Schnörr, C (2016). Symmetry-free SDP Relaxations for Affine Subspace Clustering. http://arxiv.org/abs/1607.07387
Brachmann, E, Michel, F, Krull, A, Yang, M Ying, Gumhold, S and Rother, C (2016). Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2016-Decem 3364–3372
Brachmann, E, Michel, F, Krull, A, Yang, M Ying, Gumhold, S and Rother, C (2016). Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2016-Decem 3364–3372
Kandemir, M, Haußmann, M, Diego, F, Rajamani, K, van der Laak, J and Hamprecht, F A (2016). Variational weakly-supervised Gaussian processes. BMVC. ProceedingsPDF icon Technical Report (3.28 MB)
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. 6PDF icon Technical Report (2.81 MB)
Haußmann, (2016). Weakly Supervised Detection With Gaussian Processes. University of Heidelberg
2015
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. Dissertation
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
Biesdorf, A, Wörz, S, von Tengg-Kobligk, H, Rohr, K and Schnörr, C (2015). 3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization. Proc.~ISBIPDF icon Technical Report (611.33 KB)
Bodnariuc, E, Gurung, A, Petra, S and Schnörr, C (2015). Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. EMMCVPR
Bodnariuc, E, Gurung, A, Petra, S and Schnörr, C (2015). Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV. Proc.~EMMCVPR. Springer. 8932 378--391PDF icon Technical Report (951.37 KB)
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
Jähne, (2015). Air-sea gas exchange: from empiric wind speed relations to regimes and ranges. Frühjahrstagung der Deutschen Physikalischen Gesellschaft, Fachverband Umweltphysik. UP 16.3. http://www.dpg-verhandlungen.de/year/2015/conference/heidelberg/part/up/session/16/contribution/3?lang=en
Nair, R (2015). Analysis and Modeling of Passive Stereo and Time-of-Flight Imaging. IWR, Univ. Heidelberg. Dissertation
Gianniotis, N, Schnörr, C, Molkenthin, C and Bora, S S (2015). Approximate variational inference based on a finite sample of Gaussian latent variables. Patt.~Anal.~ApplPDF icon Technical Report (1.4 MB)
Kandemir, M (2015). Asymmetric transfer learning with deep Gaussian processes. ICML. Proceedings. 730-738PDF icon Technical Report (570.95 KB)
Kreshuk, A, Walecki, R, Köthe, U, Gierthmühlen, M, Plachta, D, Genoud, C, Haastert-Talini, K and Hamprecht, F A (2015). Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves. Journal of Microscopy. 259 (2) 143-154
Yarlagadda, P and Ommer, B (2015). Beyond the Sum of Parts: Voting with Groups of Dependent Entities. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. 37 1134--1147. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6926849
Kandemir, M and Hamprecht, F A (2015). Cell event detection in phase-contrast microscopy sequences from few annotations. MICCAI. Proceedings. Springer. LNCS 9351 316-323PDF icon Technical Report (564.69 KB)
Nagel, L, Krall, K Ellen and Jähne, B (2015). Comparative heat and gas exchange measurements in the Heidelberg Aeolotron, a large annular wind-wave tank. Ocean Sci. 11 111--120
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kröger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155–184
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kröger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155–184
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kröger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int.~J.~Comp.~VisionPDF icon Technical Report (5.12 MB)
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kröger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 115 155–184. http://hci.iwr.uni-heidelberg.de/opengm2/
Kappes, J H, Andres, B, Hamprecht, F A, Schnörr, C, Nowozin, S, Batra, D, Kim, S, Kausler, B X, Kröger, T, Lellmann, J, Komodakis, N, Savchynskyy, B and Rother, C (2015). A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. International Journal of Computer Vision. 1-30PDF icon Technical Report (1.5 MB)
Rathke, F and Schnörr, C (2015). A Computational Approach to Log-Concave Density Estimation. An. St. Univ. Ovidius Constanta. 23 151-166PDF icon Technical Report (1.07 MB)

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