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Bähnisch, C, Stelldinger, P and Köthe, U (2009). Fast and Accurate 3D Edge Detection for Surface Reconstruction. Pattern Recognition. Springer. 5748 111-120
Bailoni, A (2021). Deep Learning for Graph-Based Image Instance Segmentation. Heidelberg University
Bailoni, A, Pape, C, Wolf, S, Kreshuk, A and Hamprecht, F A (2020). Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks. GCPR. Springer. 12544 331-344
Balles, L (2016). Deep Learning For Diabetic Retinopathy Diagnostics. University of Heidelberg
Balluff, B, Hanselmann, M and Heeren, R M A (2017). Mass spectrometry imaging for the investigation of intratumor heterogeneity. Advances in Cancer Research. Elsevier. 134 201-230
Balschbach, G, Menzel, M and Jähne, B (1995). A new instrument to measure steep wind-waves. IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves. 387
Balschbach, G, Klinke, J and Jähne, B (1997). Multichannel shape from shading techniques for reconstruction of specular surfaces. Tagungsband Herbsttagung des Graduiertenkollegs "3D Bildanalyse und -synthese". H.-P. Seidel, B. Girod, H. Niemann (Hrsg.)
Balschbach, G, Klinke, J and Jähne, B (1998). Multichannel shape from shading techniques for moving specular surfaces. ECCV 1998. Springer, Berlin. 1407 170--184
Balschbach, G (1994). Verschiedene Verfahren Zur Visualisierung Und Größenbestimmung Von Gasblasen In Wasser. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Balschbach, G (2000). Untersuchungen statistischer und geometrischer Eigenschaften von Windwellen und ihrer Wechselwirkung mit der wasserseitigen Grenzschicht. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/2473/
Balschbach, G (2004). Hd-Whoi Measurements October 2004 Cisg. Institute for Environmental Physics, University of Heidelberg
Banerjee, D, Schabel, S, Garbe, C S, Schimpf, U, Jähne, B and von Spiegel, W (2005). High resolution optical measurement techniques in paper drying. Inpaper International - 9-10. 4 16--22
Banerjee, D, Garbe, C S, Schimpf, U, Jähne, B and Schabel, S (2007). An active thermographic technique for highly resolved heat transport measurements in paper drying. 61st Appita Annual Conference Proceedings. APPITA. 161-167
Banerjee, D, Garbe, C S, Schimpf, U, Jähne, B and Schabel, S (2008). An active thermographic technique for highly resolved heat transport measurements in paper drying. APPITA Journal. 61 244--249. http://search.informit.com.au/documentSummary;dn=113990239180698;res=IELHSS
Barabas, M (1985). Aufbau Und Weiterentwicklung Von Optischen Verfahren Zur Messung Von Gasblasen In Wasser; Messungen Von Blasendichtespektren In Wind/Wasser-Kanälen In Marseille Und Heidelberg. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Barron, J L and Spies, H (2000). Quantitative regularized range flow. Vision Interface. 203--210
Barron, J L and Spies, H (2001). The fusion of image and range flow. Multi-Image Search and Analysis. Springer. 174--192
Barron, J L, Liptay, A and Spies, H (2000). Optical and range flow to measure 3D plant growth and motion. Image Vision Computing New Zealand. 68--77
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
Bäumler, H Peter (2000). Entwicklung Eines Scheimpflug-Stereo-Systems Zur Strömungsvisualisierung In Grenzschichten. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Baus, U (2007). Phasenmessende Streifenreflektometrie Mit Stereo-Monitor-Anordnung Zur Vermessung Von Nicht Stetigen Spiegelnden Präzisionsflächen. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Baust, M, Weinmann, A, Wieczorek, M, Lasser, T, Storath, M and Navab, N (2016). Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach. IEEE Transactions on Medical Imaging. 35 1972–1989PDF icon Technical Report (8.65 MB)
Bautista, M, Fuchs, P and Ommer, B (2017). Learning Where to Drive by Watching Others. Proceedings of the German Conference Pattern Recognition. Springer-Verlag, Basel. 1
Bautista, M, Sanakoyeu, A and Ommer, B (2017). Deep Unsupervised Similarity Learning using Partially Ordered Sets. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)PDF icon deep_unsupervised_similarity_learning_cvpr_2017_paper.pdf (905.82 KB)
Bautista, M, Sanakoyeu, A, Sutter, E and Ommer, B (2016). CliqueCNN: Deep Unsupervised Exemplar Learning. Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS). MIT Press, Barcelona. https://arxiv.org/abs/1608.08792PDF icon Article (5.79 MB)
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269–297. http://dx.doi.org/10.1007/s11263-013-0639-7
Becker, F, Wieneke, B, Yuan, J and Schnörr, C (2008). Variational Correlation Approach to Flow Measurement with Window Adaption. 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics. 1.1.3PDF icon Technical Report (3.37 MB)
Becker, F, Wieneke, B, Yuan, J and Schnörr, C (2008). A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 335--344PDF icon Technical Report (1.82 MB)
Becker, F, Wieneke, B, Petra, S, Schröder, A and Schnörr, C (2012). Variational Adaptive Correlation Method for Flow Estimation. IEEE Transactions on Image Processing. 21 3053 – 3065
Becker, F, Petra, S and Schnörr, C (2014). Optical Flow. Handbook of Mathematical Methods in Imaging. Springer
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 – 1699
Becker, F (2009). Variational Correlation and Decomposition Methods for Particle Image Velocimetry. Heidelberg University, Faculty of Mathematics and Computer Sciences, Heidelberg, Germany. http://www.ub.uni-heidelberg.de/archiv/9766/
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2011). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. 2011 IEEE International Conference on Computer Vision (ICCV). 1692 -- 1699PDF icon Technical Report (4.9 MB)
Becker, F and Schnörr, C (2008). Decomposition of Quadratric Variational Problems. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 325--334PDF icon Technical Report (1.29 MB)
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269--297. http://dx.doi.org/10.1007/s11263-013-0639-7PDF icon Technical Report (15.4 MB)

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