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Author Title [ Type(Desc)] Year
Techreport
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., “Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation”, IWR, University of Heidelberg, 2008.PDF icon Technical Report (2.6 MB)
T. Schüle, Schnörr, C., Weber, S., and Hornegger, J., “Discrete Tomography By Convex-Concave Regularization and D.C. Programming”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 15, 2003.
U. Schmidt, Rother, C., Nowozin, S., Jancsary, J., and Roth, S., “Discriminative Non-blind Deblurring”, 2013.
T. Kohlberger, Schnörr, C., Bruhn, A., and Weickert, J., “Domain Decomposition for Variational Optical Flow Computation”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 07/2003, 2003.
J. Neumann, Schnörr, C., and Steidl, G., “Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 5, 2003.
M. Heiler, Cremers, D., and Schnörr, C., “Efficient Feature Subset Selection for Support Vector Machines”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 21/2001, 2001.
K. E. Richter, “Ermittlung der Leckraten der WiSSCy-Messkampagne 2007 in Hamburg mittels UV-Spektroskopie”, Institut für Umweltphysik, Universität Heidelberg, 2008.
S. Petra, Popa, C., and Schnörr, C., “Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction”, IWR, University of Heidelberg, 2008.PDF icon Technical Report (2.13 MB)
S. Petra, Popa, C., and Schnörr, C., “Extended and Constrained Cimmino-type Algorithms with Applications in Tomographic Image Reconstruction”, IWR, University of Heidelberg, 2008.
K. Ellen Krall, “Gas Exchange Test Campaign at the Kyoto High Speed Wind-Wave Tank 2011”, Institut für Umweltphysik, Universität Heidelberg, 2012.
A. Nicola, Petra, S., Popa, C., and Schnörr, C., “On a general extending and constraining procedure for linear iterative methods”, IWR, University of Heidelberg, 2009.PDF icon Technical Report (799.47 KB)
A. Nicola, Petra, S., Popa, C., and Schnörr, C., “On a general extending and constraining procedure for linear iterative methods”, IWR, University of Heidelberg, 2009.
M. Jehle, “HCI's Parabolic Lighting Facility - Design and Usage”, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.
G. Balschbach, “HD-WHOI Measurements October 2004 CISG”, Institute for Environmental Physics, University of Heidelberg, 2004.
J. Heers, Schnörr, C., and Stiehl, H. S., “Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation”, Comp. Sci. Dept., AB KOGS, University of Hamburg, Germany, 283/99, 1999.
A. Andersson, Diego, F., Hamprecht, F. A., and Wählby, C., “ISTDECO: In Situ Transcriptomics Decoding by Deconvolution”, bioRxiv, 2021.
R. Rocholz, “Kalibrierung der Color Imaging Slope Gauge & Auswertung der Wellenmessungen”, Institut für Umweltphysik, Universität Heidelberg, 2007.
J. Kruse, Rother, C., Schmidt, U., and Dresden, T. U., “Learning to Push the Limits of Efficient FFT-based Image Deconvolution - Supplemental Material”, 2017.
W. Li, Hosseini Jafari, O., and Rother, C., “Localizing Common Objects Using Common Component Activation Map”, 2019.
B. Jähne, “Messung des Gasaustausches und der Turbulenz an der Oberfläche durch Sichtbarmachung der Grenzschicht”, Institut für Umweltphysik, Universität Heidelberg, 1983.
B. Jähne, “Methoden zur schnellen und genauen Messung der Gasaustauschrate im Aelotron mit Gasen niedriger und hoher Löslichkeit”, Forschungsgruppe Bildverarbeitung, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen und Institut für Umweltphysik, Universität Heidelberg, 2009.
H. Scharr, “Optimal separable interpolation of color images with bayer array format”, DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany, 2000.
J. Lellmann, Lenzen, F., and Schnörr, C., “Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem”, IPA group, Heidelberg University, 2011.
C. Schellewald, Roth, S., and Schnörr, C., “Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 02/2002, 2002.
U. Köthe, “Reliable Low-Level Image Analysis”, Habilitation thesis. Department Informatik, University of Hamburg, Hamburg, 2008.PDF icon Technical Report (12.44 MB)
C. Schnörr, “Representation of Images by a Convex Variational Diffusion Approach”, FB Informatik, Universität Hamburg, FBI-HH-M-256/96, 1996.
A. Sellent, Rother, C., and Roth, S., “Stereo Video Deblurring-Supplemental Material”, 2016.
Z. Lin, “Structure Tensor Calculation Using FPGA”, HCI Heidelberg, 2012.
“A Supplementary Material CEREALS-Cost-Effective REgion-based Active Learning for Semantic Segmentation”, 2018.
D. Singaraju, Rother, C., and Rhemann, C., “Supplementary material for New Appearance Models for Image Matting”, 2009.
S. Petra and Schnörr, C., “TomoPIV meets Compressed Sensing”, IWR, University of Heidelberg, 2009.
S. Petra and Schnörr, C., “TomoPIV meets Compressed Sensing”, IWR, University of Heidelberg, 2009.PDF icon Technical Report (646.75 KB)
S. Damrich and Hamprecht, F. H., “UMAP does not reproduce high-dimensional similarities due to negative sampling”. arXiv preprint, 2021.
A. Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C., “Variational Optic Flow Computation in Real-Time”, Dept. Math. and Comp. Science, Saarland University, Germany, 89, 2003.
W. Mischler, Rocholz, R., and Weissbach, T., “Vereinfachung der Massenbilanz im Blasentank für luftseitige Messung”, Institut für Umweltphysik, 2011.

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