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Hering, F (1992). Messungen Von Transportgeschwindigkeiten In Winderzeugten Wasserwellen Mittels Digitaler Bildfolgenanalyse. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Bösinger, (1986). Messungen Zur Schmidtzahlabhängigkeit Des Gasaustausches. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Bengio, Y, Deleu, T, Rahaman, N, Ke, R, Lachapelle, S, Bilaniuk, O, Goyal, A and Pal, C (2019). A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. arXiv preprint arXiv:1901.10912

Technical Report (871.59 KB)

Staudacher, M, Hamprecht, F A and Görlitz, L (2008). Method for processing an intensity image of a microscope. Patent, Patent Number: WO2008034721A1

Technical Report (39.81 KB)

Hilsenstein, V (2000). Methoden Der Bildfolgenanalyse Zur Untersuchung Nichtlinearer Wasseroberflächenwellen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. \ Heidelberg

Reinecke, H (1997). Methoden Zur Bearbeitung Und Merkmalsextrahierung Von Zeitreihen Aus Technischen Anlagen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Jähne, (2009). 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

Glas, M (2012). Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/13581

Glas, M (2012). Methoden zur sechsdimensionalen Objektlageerkennung aus Tiefenbildern. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation

Kirchner, M, Steen, J A J, Hamprecht, F A and Steen, H (2010). MGFp: An Open Mascot Generic Format Parser Library Implementation. Journal of Proteome Research. 9 (5) 27622763

Technical Report (125.18 KB)

Brattoli, B, Roth, K and Ommer, B (2019). MIC: Mining Interclass Characteristics for Improved Metric Learning. Proceedings of the Intl. Conf. on Computer Vision (ICCV)

Zappa, C J, Asher, W E, Jessup, A T, Klinke, J and Long, S R (2004). Microbreaking and the enhancement of air-water transfer velocity. J. Geophys. Res. 109 C08S16

Roetmann, K, Garbe, C S, Schmunk, W and Beushausen, V (2006). Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering. Proc.\ of 12th International Symposium on Flow Visualization

Roetmann, K, Schmunk, W, Garbe, C S and Beushausen, V (2008). Micro-flow analysis by molecular tagging velocimetry and planar raman-scattering. Exp. Fluids. 44 419--430

Pape, C, Remme, R, Wolny, A, Olberg, S, Wolf, S, Cerrone, L, Cortese, M, Klaus, S, Lucic, B, Ullrich, S, Anders-Össwein, M, Wolf, S, Cerikan, B, Neufeldt, C J, Ganter, M, Schnitzler, P, Merle, U, Lusic, M, Boulant, S, Stanifer, M, Bartenschlager, R, Hamprecht, F A, Kreshuk, A, Tischer, C, Kräusslich, H - G, Müller, B and Laketa, V (2020). Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera. BioEssays

Snoeij, P, van Halsema, D, Oost, W A, Calkoen, C J, Jähne, B and Vogelzang, J (1992). Microwave backscatter measurements made from the Dutch Ocean Research Tower 'Noordwijk' compared with model predictions. Proc. IGARSS'92

Menze, B H, Kelm, B Michael, Weber, M - A, Bachert, P and Hamprecht, F A (2008). Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI. Magnetic Resonance in Medicine. 59 1457-1466

Technical Report (1.45 MB)

Schilling, H, Gutsche, M, Brock, A, Späth, D, Rother, C and Krispin, K (2020). Mind the Gap – A Benchmark for Dense Depth Prediction beyond Lidar. 2nd Workshop on Safe Artificial Intelligence for Automated Driving, in conjunction with CVPR 2020

Klar, M, Stybalkowski, P, Spies, H and Jähne, B (2002). A miniaturized 3-D particle-tracking velocimetry system to measure the pore flow within a gravel layer. Proc. 11th Int. Symp. Applications of Laser Techniques to Fluid Mechanics. 2.3. http://in3.dem.ist.utl.pt/lxlaser2002/papers.asp

Kolmogorov, V and Rother, C (2007). Minimizing nonsubmodular functions with graph cuts - A review. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29 1274–1279

Rother, C, Kohli, P, Feng, W and Jia, J (2010). Minimizing sparse higher order energy functions of discrete variables. 1382–1389

Enzweiler, M and Gavrila, D M (2008). A Mixed Generative-Discriminative Framework for Pedestrian Classification. Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR)

Garbe, C S, Spies, H and Jähne, B (2002). Mixed OLS-TLS for the estimation of dynamic processes with a linear source term. Proceedings of the 24th DAGM Symposium on Pattern Recognition. Springer-Verlag. 2449 463--471

Schäfer, H, Lenzen, F and Garbe, C S (2014). Model based scattering correction in time-of-flight cameras. Optics Express. 22 29835-29846

Wulf, M, Stiehl, H S and Schnörr, C (1999). A model of spatiotemporal receptive fields in the primate retina. Proc. 1st Göttingen Conf. German Neurosci. Soc.. II

Andres, B (2007). Model Selection In Optical Flow-Based Motion Estimation By Means Of Residual Analysis. University of Heidelberg

Andres, B (2007). Model Selection In Optical Flow-Based Motion Estimation By Means Of Residual Analysis. University of Heidelberg

Lenor, S (2016). Model-Based Estimation of Meteorological Visibility in the Context of Automotive Camera Systems. IWR, Univ. Heidelberg. Dissertation

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

Breitenreicher, D and Schnörr, C (2011). Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. Int.~J.~Comp.~Vision. 92 32--52. http://www.springerlink.com/content/v266873267180602/

Technical Report (4.3 MB)

Breitenreicher, D and Schnörr, C (2011). Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. Int. J. Comp. Vision. 92 32–52. http://www.springerlink.com/content/v266873267180602/

Haltebourg, C (2017). Modeling of Heat Exchange Across the Ocean Surface as Measured by Active Thermography. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg. Dissertation

Kausler, B X (2010). Modeling Of Spectral Peaks For Mass-Spectrometry-Based Proteomics. Universities of Karlsruhe and Heidelberg

Wulf, M, Stiehl, H S and Schnörr, C (1999). Modeling spatiotemporal receptive fields in the primate retina. Proc. Cognitive Neurosci. Conf. Hanse–Wissenschaftskolleg, Bremen, Germany

Schmitzer, B and Schnörr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159

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