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Author Title Type [ Year(Desc)]
2013
Schäfer, H, Lenzen, F and Garbe, C S (2013). Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3DV-Conference, 2013 International Conference on. 111-118PDF icon Technical Report (1.85 MB)
Schäfer, H, Lenzen, F and Garbe, C S (2013). Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2013 International Conference on. IEEE. 111-118
Hornáček, M, Rhemann, C, Gelautz, M and Rother, C (2013). Depth super resolution by rigid body self-similarity in 3D. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1123–1130
Jähne, (2013). Der Standard EMVA 1288 zur Charakterisierung von Kameras und Bildsensoren: von 2D- zu 3D-Kameras. Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013. Wichmann. 388--399. http://www.ub.uni-heidelberg.de/archiv/17699
Bauer, P Salomon (2013). Development Of An Imaging Polarimeter For Water Wave Slope Measurements. Institut für Umwelphysik, Univeristät Heidelberg, Germany. http://www.ub.uni-heidelberg.de/archiv/15899
Lellmann, J, Lellmann, B, Widmann, F and Schnörr, C (2013). Discrete and Continuous Models for Partitioning Problems. Int.~J.~Comp.~Visionz. 104 241-269PDF icon Technical Report (4.74 MB)
Schmidt, U, Rother, C, Nowozin, S, Jancsary, J and Roth, S (2013). Discriminative Non-Blind Deblurring
Haeusler, R, Nair, R and Kondermann, D (2013). Ensemble Learning for Confidence Measures in Stereo Vision. CVPR 2013, in press. 305-312
Diebold, M and Goldlücke, B (2013). Epipolar Plane Image Refocusing for Improved Depth Estimation and Occlusion Handling.. VMV. Eurographics Association. http://dblp.uni-trier.de/db/conf/vmv/vmv2013.html#DieboldG13
Hosni, A, Rhemann, C, Bleyer, M, Rother, C and Gelautz, M (2013). Fast cost-volume filtering for visual correspondence and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 504–511
Krall, K Ellen and Jähne, B (2013). First air-sea gas exchange laboratory study at hurricane wind speeds. Ocean Sci. Discuss. 10 1971--1996. www.ocean-sci-discuss.net/10/1971/2013/
Savchynskyy, B and Schmidt, S (2013). Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study. Workshop on Inference for Probabilistic Graphical Models at ICCV. Proceedings
Savchynskyy, B, Kappes, J H, Swoboda, P and Schnörr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS. Proceedings. 1950-1958
Savchynskyy, B, Kappes, J H, Swoboda, P and Schnörr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPSPDF icon Technical Report (499.17 KB)
Savchynskyy, B, Kappes, J Hendrik, Swoboda, P and Schnörr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS
Wanner, S, Straehle, C N and Goldlücke, B (2013). Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields. CVPR 2013. Proceedings. 1011-1018
Wanner, S, Straehle, C N and Goldlücke, B (2013). Globally consistent multi-label assignment on the ray space of 4D light fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Schmitzer, B and Schnörr, C (2013). A Hierarchical Approach to Optimal Transport. Scale Space and Variational Methods (SSVM 2013). 452-464
Vineet, V, Rother, C and Torr, P H S (2013). Higher order priors for joint intrinsic image, objects, and attributes estimation. Advances in Neural Information Processing Systems
Kappes, J H, Speth, M, Reinelt, G and Schnörr, C (2013). Higher-order Segmentation via Multicuts. ArXiv e-printsPDF icon Technical Report (1.07 MB)
Kappes, J Hendrik, Speth, M, Reinelt, G and Schnörr, C (2013). Higher-order Segmentation via Multicuts. ArXiv e-prints
Horn, J (2013). Hochaufgelöste Optische Wellenhöhenmessung Am Aeolotron Mit Laser-Induzierter Fluoreszenz. Institut für Umwelphysik, Univeristät Heidelberg, Germany
Fahle, P (2013). Hochauflösende Messung Der Raumzeitlichen Variation Der Neigung Winderzeugter Wasserwellen. Institut für Umwelphysik, Univeristät Heidelberg, Germany
Donath, A and Kondermann, D (2013). How Good is Crowdsourcing for Optical Flow Ground Truth Generation?. submitted to CVPR
Geese, M (2013). Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/14391
Geese, M (2013). Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach. IWR, Univ. Heidelberg. Dissertation
Friedl, F (2013). Investigating the Transfer of Oxygen at the Wavy Air-Water Interface under Wind-Induced Turbulence. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/14582
Fiaschi, L, Grosser, K - H, Afonso, B, Zlatic, M and Hamprecht, F A (2013). Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects. ISBI 2013.Proceedings. 656-659PDF icon Technical Report (711.68 KB)
Straehle, C N, Peter, S, Köthe, U and Hamprecht, F A (2013). K-smallest Spanning Tree Segmentations. German Conference on Pattern Recognition (DAGM/GCPR). Proceedings. Springer. 375-384PDF icon Technical Report (1.18 MB)
Krall, K E (2013). Laboratory Investigations of Air-Sea Gas Transfer under a Wide Range of Water Surface Conditions. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. Dissertation. http://www.ub.uni-heidelberg.de/archiv/14392
Walecki, R (2013). Large-Scale Automatic Reconstruction Of Myelianated Axons And Detection Of The Nodes Of Ranvier. University of Heidelberg
Fiaschi, L (2013). Learning Based Biological Image Analysis. University of Heidelberg
Jancsary, J, Nowozin, S and Rother, C (2013). Learning convex QP relaxations for structured prediction. 30th International Conference on Machine Learning, ICML 2013. 1952–1960
Diego, F and Hamprecht, F A (2013). Learning Multi-Level Sparse Representation. NIPS. Proceedings. http://papers.nips.cc/paper/5076-learning-multi-level-sparse-representationsPDF icon Technical Report (2.79 MB)
Diego, F and Hamprecht, F A (2013). Learning Multi-Level Sparse Representation for Identifying Neuronal Activity. Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of AbstractsPDF icon Technical Report (1.05 MB)

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