Publications

Export 1852 results:
Author Title [ Type(Desc)] Year
Conference Paper
Barron, J L and Spies, H (2000). Quantitative regularized range flow. Vision Interface. 203--210
Erz, M and Jähne, B (2009). Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 28--41
Eigenstetter, A, Takami, M and Ommer, B (2014). Randomized Max-Margin Compositions for Visual Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 3590--3597PDF icon Technical Report (8.01 MB)
Schmidt, M, Jehle, M and Jähne, B (2007). Range flow estimation based on photonic mixing device data. Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007. ZESS, Univ.\ Siegen
Weickert, J and Schnörr, C (1999). Räumlich–zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen. Mustererkennung 1999. Springer. 317–324
Strzodka, R and Garbe, C S (2004). Real-time motion estimation and visualization on graphics cards. Proceedings IEEE Visualization 2004. 545--552
Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schnörr, C (2003). Real-Time Optic Flow Computation with Variational Methods. Proc. Computer Analysis of Images and Patterns (CAIP'03). Springer. 2756 222-229
Hosseini Jafari, O and Yang, M Ying (2016). Real-time RGB-D based template matching pedestrian detection. Proceedings - IEEE International Conference on Robotics and Automation. 2016-June 5520–5527
Wiehler, K, Grigat, R –R, Heers, J, Schnörr, C and Stiehl, H –S (1998). Real–Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology. Mustererkennung 1998. Springer, Heidelberg
Yarlagadda, P, Monroy, A, Carque, B and Ommer, B (2010). Recognition and Analysis of Objects in Medieval Images. Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage. Springer. 296--305PDF icon Technical Report (2.76 MB)
Monroy, A, Carque, B and Ommer, B (2011). Reconstructing the Drawing Process of Reproductions from Medieval Images. Proceedings of the International Conference on Image Processing. IEEE. 2974--2977. https://hciweb.iwr.uni-heidelberg.de/compvis/research/manesse/PDF icon Technical Report (2.43 MB)
Gehler, P Vincent, Rother, C, Kiefel, M, Zhang, L and Schölkopf, B (2011). Recovering intrinsic images with a global sparsity prior on reflectance. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
Nair, R, Fitzgibbon, A, Kondermann, D and Rother, C (2015). Reflection modeling for passive stereo. Proceedings of the IEEE International Conference on Computer Vision. 2015 Inter 2291–2299
Esparza, J, Vepa, L, Helmle, M and Jähne, B (2014). Registration of a multi-camera system with a 3D laser range finder. 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting. 37--46. http://www.uni-das.de/de/Veranstaltungen/fas2014.php
Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012). Regression Tree Fields An efficient, non-parametric approach to image labeling problems. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383
Jancsary, J, Nowozin, S, Sharp, T and Rother, C (2012). Regression Tree Fields An efficient, non-parametric approach to image labeling problems. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2376–2383
Spies, H, Jähne, B and Barron, J L (2000). Regularised range flow. European Conference on Computer Vision (ECCV). Springer. 2 785--799
Rubio, J C and Ommer, B (2015). Regularizing Max-Margin Exemplars by Reconstruction and Generative Models. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 4213--4221PDF icon Technical Report (2.8 MB)
Bhowmik, A, Gumhold, S, Rother, C and Brachmann, E (2020). Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. CVPR 2020 (oral). http://arxiv.org/abs/1912.00623PDF icon PDF (2.74 MB)
Reinecke, H, Fantana, N L, Haußecker, H and Jähne, B (1997). Rekonstruktion von Schreiberkurven. Mustererkennung 1997. Springer. 527--536
von Schmude, N, Lothe, P and Jähne, B (2016). Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Garbe, C S and Jähne, B (2001). Reliable estimates of the sea surface heat flux from image sequences. Proceedings of the 23th DAGM Symposium on Pattern Recognition, München. Springer. 194--201
Zhang, H, Hamprecht, F A and Amann, A (2005). Report about VOCs Dataset's Analysis based on Random Forests. Proceedings of the HPC-Asia05. IEEE Computer Society Press. 603-607PDF icon Technical Report (232.13 KB)
Schnörr, (1996). Repräsentation von Bilddaten mit einem konvexen Variationsansatz. Mustererkennung 1996. Springer-Verlag, Berlin, Heidelberg. 21–28
Jähne, B, Haußecker, H, Platt, U, Schurr, U and Stitt, M (1997). The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes. Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997. infix. 107--114
Heiler, M and Schnörr, C (2005). Reverse-Convex Programming for Sparse Image Codes. Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 600-616
Antic, B and Ommer, B (2012). Robust Multiple-Instance Learning with Superbags. Proceedings of the Aian Conference on Computer Vision (ACCV) (Oral). Springer. 242--255PDF icon Technical Report (319.58 KB)
Hering, F, Merle, M, Wierzimok, D and Jähne, B (1995). A robust technique for tracking particles over long image sequences. Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens. RISC Books. XXX-5W1 74--79
Jähne, B, Haußecker, H, Hering, F, Balschbach, G, Klinke, J, Lell, M, Schmund, D, Schultz, M, Schurr, U, Stitt, M and Platt, U (1996). The role of active vision in exploring growth, transport, and exchange processes. Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996. infix. 4 194--202
Kirchgeßner, N, Spies, H, Scharr, H and Schurr, U (2001). Root Growth Analysis in Physiological Coordinates. International Conference on Image Analysis and Processing (ICIAP'01)
Kirchgeßner, N, Spies, H, Scharr, H and Schurr, U (2001). Root Growth Measurements in Object Coordinates. Proceedings of the 23th DAGM Symposium on Pattern Recognition. Springer
Friedrich, O, Weber, C, Both, M, von Wegner, F, Chamberlain, J S, Garbe, C S and Fink, R H A (2008). Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse). 87th Annual Meeting of the German Physiological Society
Geese, M, Ruhnau, P and Jähne, B (2012). Scene based maximum likelihood PRNU and DSNU non uniformity correction. Forum Bildverarbeitung. KIT Scientific Publishing. 71--82. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440
Mansfield, A, Gehler, P, Van Gool, L and Rother, C (2010). Scene carving: Scene consistent image retargeting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6311 LNCS 143–156. www.fujifilm.com/products/3d/camera/finepix_
Richter, K E, Rocholz, R and Jähne, B (2012). The Schmidt Number Dependency of Air-Sea Gas Exchange with Varying Surfactant Coverage. SOLAS Open Science Conference, Washington State, USA

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