Publications

Export 1905 results:
Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
S
Zouhar, A, Rother, C and Fuchs, S (2015). Semantic 3-D labeling of ear implants using a global parametric transition prior. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9350 177–184
Li, Y (2019). Semantic Instance Segmentation With The Multiway Mutex Watershed. Heidelberg University
Wolf, S, Li, Y, Pape, C, Bailoni, A, Kreshuk, A and Hamprecht, F A (2020). The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. ECCV. Proceedings, in press
Kawetzki, D (2018). Semantic Segmentation Of Urban Scenes Using Deep Learning. Heidelberg University
Rathore, D (2016). Semantic Segmentation Using Deep Learning. University of Heidelberg
Hullin, M, Klein, R, Schultz, T, Yao, A, Li, W, Hosseini Jafari, O and Rother, C (2017). Semantic-Aware Image Smoothing. Vision, Modeling, and Visualization. https://hci.iwr.uni-heidelberg.de/vislearn/wp-content/uploads/2014/08/paper1024_CRC.pdf
Maco, B, Cantoni, M, Holtmaat, A, Kreshuk, A, Hamprecht, F A and Knott, G W (2014). Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites. Nature Protocols. 9 1354-1366PDF icon Technical Report (2.01 MB)
Greis, J (2009). Semi-Automatic Analysis Of High-Information-Content Neurobiological Image Data. University of Heidelberg
Heiler, M, Keuchel, J and Schnörr, C (2005). Semidefinite Clustering for Image Segmentation with A-priori Knowledge. Pattern Recognition, Proc. 27th DAGM Symposium. Springer. 3663 309–317
Drory, A, Haubold, C, Avidan, S and Hamprecht, F A (2014). Semi-Global Matching: A Principled Derivation in Terms of Message Passing. GCPR. Proceedings. 43-53PDF icon Technical Report (2.6 MB)
Fita, E (2019). Semi-Supervised Distance-Based Segmentation. Heidelberg University
Görlitz, L, Menze, B H, Weber, M - A and Kelm, B Michael (2007). Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields. Pattern Recognition. Springer. 4713 224-233PDF icon Technical Report (872.46 KB)
Gerloff, S, Hagemann, A, Schnörr, C, Tieck, S, Stiehl, H S, Dombrowski, R, Dreyer, M and Wiesendanger, R (1997). Semi–Automated Analysis of SXM Images. Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM'97). Hamburg, Germany
Weber, R (2010). Setup Of A Laser Slope Gauge For The Measurement Of Wave Slope Distributions At The Small Circular Wind Wave Facility. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Jähne, B, Waas, S and Klinke, J (1993). Shape from shading techniques for short ocean wind waves. Imaging in Transport Processes. Begell House Publishers. 269--281. http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html
Didden, E - M, Thorarinsdottir, T L, Lenkoski, A and Schnörr, C (2015). Shape from Texture using Locally Scaled Point Processes. Image Anal. Stereol. 34 161-170
Bergtholdt, M and Schnörr, C (2005). Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. Pattern Recognition, Proc. 27th DAGM Symposium. Springer. 3663 342–350
Cremers, D, Kohlberger, T and Schnörr, C (2003). Shape Statistics in Kernel Space for Variational Image Segmentation. Pattern Recognition. 36 1929--1943PDF icon Technical Report (1.67 MB)
Cremers, D, Kohlberger, T and Schnörr, C (2003). Shape Statistics in Kernel Space for Variational Image Segmentation. Pattern Recognition. 36 1929–1943
Monroy, A, Bell, P and Ommer, B (2012). Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions. Proceedings of the European Conference on Computer Vision, Workshop on VISART. Springer. 7583 571--580PDF icon Technical Report (7 MB)
Milbich, T, Roth, K and Ommer, B (2020). Sharing Matters For Generalization In Deep Metric Learning. https://arxiv.org/abs/2004.05582
Kumpf, T (2009). Sichtfelddesign Mittels Freiformspiegel Für Katadioptrische Systeme. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Schnörr, (2007). Signal and Image Approximation with Level-Set Constraints. Computing. 81 137-160PDF icon Technical Report (506.8 KB)
Schnörr, (2007). Signal and Image Approximation with Level-Set Constraints. Computing. 81 137-160
Jähne, (2008). Signifikanter Umbruch zeichnet sich ab - Aktuelle Entwicklungen in der Bildverarbeitung. http://www.vdma-verlag.com/home/p427.html
Hanselmann, M, Voss, B, Renard, B Y, Lindner, M, Köthe, U, Kirchner, M and Hamprecht, F A (2011). SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists. Bioinformatics. 27 (7) 987-993PDF icon Technical Report (2.2 MB)
Jähne, (1997). SIMD-Bildverarbeitungsalgorithmen mit dem Multimedia Extension-Instruktionssatz (MMX) von Intel. Automatisierungstechnik. 10 453--460
Huhn, F (2008). A Simple Instrument For The Measurement Of The Slope And Height Distributions Of Small Scale Wind-Driven Water Waves. Institute for Environmental Physics, University of Heidelberg
Köthe, U, Herrmannsdörfer, F, Kats, I and Hamprecht, F A (2014). SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy. Histochemistry and Cell Biology. 141 613-627PDF icon Technical Report (2.29 MB)
Herrmannsdörfer, (2013). Simplestorm An Efficient Selfcalibrating Reconstruction Algorithm For Single And Multi-Channel Localisation Microscopy. University of Heidelberg
Voigt, P (2019). Simulation And Measurement Of The Water-Sided Viscous Shear Stress Without Waves. Institut für Umweltphysik, Universität Heidelberg, Germany
Jähne, (2001). Simulation der Austauschprozesse an der Ozeanoberfläche im Labor: das neue Heidelberger Aeolotron. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Hamburg, 26.-30.03.2001. Deutsche Physikalische Gesellschaft
Meister, S, Nair, R and Kondermann, D (2013). Simulation of Time-of-Flight Sensors using Global Illumination. Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings. 33-40
Küsters, (2004). Simultane Tiefen- und Flussbestimmung pflanzlicher Oberflächen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/4818
Klar, M, Jehle, M, Detert, M, Jirka, G H, Jähne, B, Köhler, H - J and Wenka, T (2004). Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer. Proc. of River Flow 2004. A. A. Balkema Publishers. 703--712

Pages