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Vogel, F (2004). Visualisierung von Gasaustauschprozessen durch Lumineszenzspektroskopie mit Ruthenium als Phosphoreszenzstoff

Bellagente, M, Haußmann, M, Luchmann, M and Plehn, T (2021). Understanding Event-Generation Networks via Uncertainties. arXiv preprint. https://arxiv.org/abs/2104.04543v1

Arlt, H, Sui, X, Folger, B, Adams, C, Chen, X, Remme, R, Hamprecht, F A, DiMaio, F, Liao, M, Goodman, J M, Farese, R V and Walther, T C (2021). Seipin forms a flexible cage at lipid droplet formation sites. bioRxiv

Rocholz, R, Fahle, P and Jähne, B (2012). High speed and high resolution wave imaging to investigate the initial generation of wind waves at very small fetch. http://hci.iwr.uni-heidelberg.de/publications/dip/MISC/WISE_2012_rrocholz/2012_WISE_rrocholz_noVideos.pdf

Kandemir, M, Agkül, A, Haußmann, M and Ünal, G (2021). Evidential Turing Processes. arXiv preprint. https://arxiv.org/abs/2106.01216

Techreport

Mischler, W, Rocholz, R and Weissbach, T (2011). Vereinfachung Der Massenbilanz Im Blasentank Für Luftseitige Messung. Institut für Umweltphysik

Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schnörr, C (2003). Variational Optic Flow Computation In Real-Time. Dept. Math. and Comp. Science, Saarland University, Germany

Damrich, S and Hamprecht, F H (2021). UMAP does not reproduce high-dimensional similarities due to negative sampling. arXiv preprint

Petra, S and Schnörr, C (2009). Tomopiv Meets Compressed Sensing. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9760

Petra, S and Schnörr, C (2009). Tomopiv Meets Compressed Sensing. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9760

Technical Report (646.75 KB)

Singaraju, D, Rother, C and Rhemann, C (2009). Supplementary Material For New Appearance Models For Image Matting

(2018). A Supplementary Material Cereals-Cost-Effective Region-Based Active Learning For Semantic Segmentation

Lin, Z (2012). Structure Tensor Calculation Using Fpga. HCI Heidelberg

Sellent, A, Rother, C and Roth, S (2016). Stereo Video Deblurring-Supplemental Material

Schnörr, (1996). Representation Of Images By A Convex Variational Diffusion Approach. FB Informatik, Universität Hamburg

Köthe, (2008). Reliable Low-Level Image Analysis. Habilitation thesis. Department Informatik, University of Hamburg, Hamburg

Technical Report (12.44 MB)

Schellewald, C, Roth, S and Schnörr, C (2002). Performance Evaluation Of A Convex Relaxation Approach To The Quadratic Assignment Of Relational Object Views. Dept. Math. and Comp. Science, University of Mannheim, Germany

Lellmann, J, Lenzen, F and Schnörr, C (2011). Optimality Bounds For A Variational Relaxation Of The Image Partitioning Problem. IPA group, Heidelberg University. http://arxiv.org/abs/1112.0974

Scharr, H (2000). 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. http://www.ub.uni-heidelberg.de/archiv/12680/

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

Jähne, (1983). Messung Des Gasaustausches Und Der Turbulenz An Der Oberfläche Durch Sichtbarmachung Der Grenzschicht. Institut für Umweltphysik, Universität Heidelberg

Li, W, Hosseini Jafari, O and Rother, C (2019). Localizing Common Objects Using Common Component Activation Map

Kruse, J, Rother, C, Schmidt, U and Dresden, T U (2017). Learning To Push The Limits Of Efficient Fft-Based Image Deconvolution - Supplemental Material

Rocholz, R (2007). Kalibrierung Der Color Imaging Slope Gauge & Auswertung Der Wellenmessungen. Institut für Umweltphysik, Universität Heidelberg

Andersson, A, Diego, F, Hamprecht, F A and Wählby, C (2021). Istdeco: In Situ Transcriptomics Decoding By Deconvolution. bioRxiv

Heers, J, Schnörr, C and Stiehl, H S (1999). 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

Balschbach, G (2004). Hd-Whoi Measurements October 2004 Cisg. Institute for Environmental Physics, University of Heidelberg

Jehle, M (2011). Hci's Parabolic Lighting Facility - Design And Usage. Heidelberg Collaboratory for Image Processing, University of Heidelberg

Nicola, A, Petra, S, Popa, C and Schnörr, C (2009). On A General Extending And Constraining Procedure For Linear Iterative Methods. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9761

Nicola, A, Petra, S, Popa, C and Schnörr, C (2009). On A General Extending And Constraining Procedure For Linear Iterative Methods. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9761

Technical Report (799.47 KB)

Krall, K Ellen (2012). Gas Exchange Test Campaign At The Kyoto High Speed Wind-Wave Tank 2011. Institut für Umweltphysik, Universität Heidelberg

Petra, S, Popa, C and Schnörr, C (2008). Extended And Constrained Cimmino-Type Algorithms With Applications In Tomographic Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8798/

Technical Report (2.13 MB)

Petra, S, Popa, C and Schnörr, C (2008). Extended And Constrained Cimmino-Type Algorithms With Applications In Tomographic Image Reconstruction. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8798/

Richter, K E (2008). Ermittlung Der Leckraten Der Wisscy-Messkampagne 2007 In Hamburg Mittels Uv-Spektroskopie. Institut für Umweltphysik, Universität Heidelberg

Heiler, M, Cremers, D and Schnörr, C (2001). Efficient Feature Subset Selection For Support Vector Machines. Dept. Math. and Comp. Science, University of Mannheim, Germany

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