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Christoph Schnörr

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2008
104EEJörg H. Kappes, Christoph Schnörr: MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium 2008: 1-10
103EEStefania Petra, Andreas Schröder, Bernhard Wieneke, Christoph Schnörr: On Sparsity Maximization in Tomographic Particle Image Reconstruction. DAGM-Symposium 2008: 294-303
102EEFlorian Becker, Christoph Schnörr: Decomposition of Quadratic Variational Problems. DAGM-Symposium 2008: 325-334
101EEFlorian Becker, Bernhard Wieneke, Jing Yuan, Christoph Schnörr: A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry. DAGM-Symposium 2008: 335-344
100EEAndrey Vlasenko, Christoph Schnörr: Physically Consistent Variational Denoising of Image Fluid Flow Estimates. DAGM-Symposium 2008: 406-415
99EEJing Yuan, Gabriele Steidl, Christoph Schnörr: Convex Hodge Decomposition of Image Flows. DAGM-Symposium 2008: 416-425
98EEChristian Gosch, Ketut Fundana, Anders Heyden, Christoph Schnörr: View Point Tracking of Rigid Objects Based on Shape Sub-manifolds. ECCV (3) 2008: 251-263
97EEKetut Fundana, Anders Heyden, Christian Gosch, Christoph Schnörr: Continuous graph cuts for prior-based object segmentation. ICPR 2008: 1-4
96EEStefan Munder, Christoph Schnörr, Dariu M. Gavrila: Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Transactions on Intelligent Transportation Systems 9(2): 333-343 (2008)
2007
95 Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne: Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings Springer 2007
94EERezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr: Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium 2007: 395-404
93EEStefan Schmidt, Jörg H. Kappes, Martin Bergtholdt, Vladimir Pekar, Sebastian P. M. Dries, Daniel Bystrov, Christoph Schnörr: Spine Detection and Labeling Using a Parts-Based Graphical Model. IPMI 2007: 122-133
92EEChristoph Schnörr: Signal and image approximation with level-set constraints. Computing 81(2-3): 137-160 (2007)
91EEChristian Schellewald, Stefan Roth, Christoph Schnörr: Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views. Image Vision Comput. 25(8): 1301-1314 (2007)
90EEChristoph Schnörr: Editorial: Marr Prize and Honorable Mentions at ICCV 2005. International Journal of Computer Vision 74(1): 1 (2007)
89EEJing Yuan, Christoph Schnörr, Gabriele Steidl: Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Scientific Computing 29(6): 2283-2304 (2007)
88EEMartin Welk, Joachim Weickert, Florian Becker, Christoph Schnörr, Christian Feddern, Bernhard Burgeth: Median and related local filters for tensor-valued images. Signal Processing 87(2): 291-308 (2007)
2006
87EEMartin Bergtholdt, Jörg H. Kappes, Christoph Schnörr: Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium 2006: 273-283
86EEPaul Ruhnau, Annette Stahl, Christoph Schnörr: On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization. DAGM-Symposium 2006: 444-454
85EEStefan Weber, Antal Nagy, Thomas Schüle, Christoph Schnörr, Attila Kuba: A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography. DGCI 2006: 146-156
84EEMatthias Heiler, Christoph Schnörr: Controlling Sparseness in Non-negative Tensor Factorization. ECCV (1) 2006: 56-67
83EEStefan Weber, Thomas Schüle, Attila Kuba, Christoph Schnörr: Binary Tomography with Deblurring. IWCIA 2006: 375-388
82EEDaniel Cremers, Nir A. Sochen, Christoph Schnörr: A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. International Journal of Computer Vision 66(1): 67-81 (2006)
81EEAndrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr: A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. International Journal of Computer Vision 70(3): 257-277 (2006)
80EEMatthias Heiler, Christoph Schnörr: Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming. Journal of Machine Learning Research 7: 1385-1407 (2006)
2005
79 Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr: Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings Springer 2005
78EEMatthias Heiler, Jens Keuchel, Christoph Schnörr: Semidefinite Clustering for Image Segmentation with A-priori Knowledge. DAGM-Symposium 2005: 309-317
77EEMartin Bergtholdt, Christoph Schnörr: Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium 2005: 342-350
76EEChristian Schellewald, Christoph Schnörr: Probabilistic Subgraph Matching Based on Convex Relaxation. EMMCVPR 2005: 171-186
75EEMatthias Heiler, Christoph Schnörr: Reverse-Convex Programming for Sparse Image Codes. EMMCVPR 2005: 600-616
74EEMatthias Heiler, Christoph Schnörr: Learning Non-Negative Sparse Image Codes by Convex Programming. ICCV 2005: 1667-1674
73EEMartin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert: Matrix-Valued Filters as Convex Programs. Scale-Space 2005: 204-216
72EEJing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr: Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005: 267-278
71EEAndrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr: Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005: 279-290
70EEJing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker: A Study of Non-smooth Convex Flow Decomposition. VLSM 2005: 1-12
69EEThomas Schüle, Christoph Schnörr, Stefan Weber, Joachim Hornegger: Discrete tomography by convex-concave regularization and D.C. programming. Discrete Applied Mathematics 151(1-3): 229-243 (2005)
68EEStefan Weber, Thomas Schüle, Christoph Schnörr: Prior Learning and Convex-Concave Regularization of Binary Tomography. Electronic Notes in Discrete Mathematics 20: 313-327 (2005)
67EEThomas Schüle, Stefan Weber, Christoph Schnörr: Adaptive Reconstruction of Discrete-Valued Objects from few Projections. Electronic Notes in Discrete Mathematics 20: 365-384 (2005)
66EEAndrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr: Variational optical flow computation in real time. IEEE Transactions on Image Processing 14(5): 608-615 (2005)
65EETimo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Domain decomposition for variational optical-flow computation. IEEE Transactions on Image Processing 14(8): 1125-1137 (2005)
64EEAndrés Bruhn, Joachim Weickert, Christoph Schnörr: Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. International Journal of Computer Vision 61(3): 211-231 (2005)
63EEMatthias Heiler, Christoph Schnörr: Natural Image Statistics for Natural Image Segmentation. International Journal of Computer Vision 63(1): 5-19 (2005)
62EEJulia Neumann, Christoph Schnörr, Gabriele Steidl: Combined SVM-Based Feature Selection and Classification. Machine Learning 61(1-3): 129-150 (2005)
61EEJulia Neumann, Christoph Schnörr, Gabriele Steidl: Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognition 38(11): 1815-1830 (2005)
2004
60EEMarcus Prümmer, Joachim Hornegger, Christoph Schnörr: Computerunterstützte Gefäßanalyse für die interventionelle Anwendung. Bildverarbeitung für die Medizin 2004: 314-318
59EEJens Keuchel, Matthias Heiler, Christoph Schnörr: Hierarchical Image Segmentation Based on Semidefinite Programming. DAGM-Symposium 2004: 120-128
58EEJulia Neumann, Christoph Schnörr, Gabriele Steidl: SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219
57EETimo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. ECCV (4) 2004: 205-216
56EEJan Giebel, Dariu Gavrila, Christoph Schnörr: A Bayesian Framework for Multi-cue 3D Object Tracking. ECCV (4) 2004: 241-252
55EEDaniel Cremers, Nir A. Sochen, Christoph Schnörr: Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) 2004: 74-86
54EEJing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau: Convex Set-Based Estimation of Image Flows. ICPR (1) 2004: 124-127
53EEStefan Weber, Thomas Schüle, Joachim Hornegger, Christoph Schnörr: Binary Tomography by Iterating Linear Programs from Noisy Projections. IWCIA 2004: 38-51
52EEPaul Ruhnau, Jing Yuan, Christoph Schnörr: On Variational Methods for Fluid Flow Estimation. IWCM 2004: 124-145
51EEAndrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr: High performance cluster computing with 3-D nonlinear diffusion filters. Real-Time Imaging 10(1): 41-51 (2004)
2003
50EEStefan Weber, Thomas Schüle, Christoph Schnörr, Joachim Hornegger: A Linear Programming Approach to Limited Angle 3D Reconstruction from DSA Projections. Bildverarbeitung für die Medizin 2003: 41-45
49EEAndrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr: Real-Time Optic Flow Computation with Variational Methods. CAIP 2003: 222-229
48EEJulia Neumann, Christoph Schnörr, Gabriele Steidl: Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595
47EETimo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Domain Decomposition for Parallel Variational Optical Flow Computation. DAGM-Symposium 2003: 196-203
46EEMatthias Heiler, Christoph Schnörr: Natural Image Statistics for Natural Image Segmentation. ICCV 2003: 1259-1266
45EEDaniel Cremers, Nir A. Sochen, Christoph Schnörr: Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space 2003: 388-400
44EETimo Kohlberger, Étienne Mémin, Christoph Schnörr: Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space 2003: 432-448
43EEStefan Weber, Christoph Schnörr, Joachim Hornegger: A Linear Programming Relaxation for Binary Tomography with Smoothness Priors. Electronic Notes in Discrete Mathematics 12: 243-254 (2003)
42EEChristian Schellewald, Christoph Schnörr: Subgraph Matching with Semidefinite Programming. Electronic Notes in Discrete Mathematics 12: 279-289 (2003)
41EEJens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers: Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1364-1379 (2003)
40EEDaniel Cremers, Christoph Schnörr: Statistical shape knowledge in variational motion segmentation. Image Vision Comput. 21(1): 77-86 (2003)
39EEDaniel Cremers, Timo Kohlberger, Christoph Schnörr: Shape statistics in kernel space for variational image segmentation. Pattern Recognition 36(9): 1929-1943 (2003)
2002
38EEJens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers: Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium 2002: 141-149
37EEAndrés Bruhn, Tobias Jakob, Markus Fischer, Timo Kohlberger, Joachim Weickert, Ulrich Brüning, Christoph Schnörr: Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster Computing. DAGM-Symposium 2002: 290-297
36EEAndrés Bruhn, Joachim Weickert, Christoph Schnörr: Combining the Advantages of Local and Global Optic Flow Methods. DAGM-Symposium 2002: 454-462
35EEDaniel Cremers, Christoph Schnörr: Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium 2002: 472-480
34EEDaniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) 2002: 93-108
33 Daniel Cremers, Florian Tischhäuser, Joachim Weickert, Christoph Schnörr: Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional. International Journal of Computer Vision 50(3): 295-313 (2002)
2001
32EEDaniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium 2001: 269-276
31EEJens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr: Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium 2001: 353-360
30EEChristian Schellewald, Stefan Roth, Christoph Schnörr: Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision. DAGM-Symposium 2001: 361-368
29EEChristian Schellewald, Jens Keuchel, Christoph Schnörr: Image Labeling and Grouping by Minimizing Linear Functionals over Cones. EMMCVPR 2001: 267-282
28EEJosef Heers, Christoph Schnörr, H. Siegfried Stiehl: Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine. IEEE Transactions on Image Processing 10(6): 852-864 (2001)
27 Joachim Weickert, Christoph Schnörr: A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion. International Journal of Computer Vision 45(3): 245-264 (2001)
26 Joachim Weickert, Christoph Schnörr: Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint. Journal of Mathematical Imaging and Vision 14(3): 245-255 (2001)
25EEKlaus Wiehler, Josef Heers, Christoph Schnörr, H. Siegfried Stiehl, Rolf-Rainer Grigat: A One-Dimensional Analog VLSI Implementation for Nonlinear Real-Time Signal Preprocessing. Real-Time Imaging 7(1): 127-142 (2001)
24EEJoachim Weickert, Josef Heers, Christoph Schnörr, Karel J. Zuiderveld, Otmar Scherzer, H. Siegfried Stiehl: Fast Parallel Algorithms for a Broad Class of Nonlinear Variational Diffusion Approaches. Real-Time Imaging 7(1): 31-45 (2001)
2000
23 Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald: Diffusion-Snakes Using Statistical Shape Knowledge. AFPAC 2000: 164-174
22 Christoph Schnörr, Joachim Weickert: Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives. DAGM-Symposium 2000: 476-488
21 Christoph Schnörr, Joachim Weickert: Medical Computer Vision - Service Page. KI 14(3): 43 (2000)
20 Joachim Weickert, Christoph Schnörr: PDE - Based Preprocessing of Medical Images. KI 14(3): 5-10 (2000)
1999
19 Joachim Weickert, Christoph Schnörr: Räumlich-zeitliche Berechnung des optischen Flusses mit nichtlinearen flußabhängigen Glattheitstermen. DAGM-Symposium 1999: 317-324
1998
18EEWladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl: Non-Rigid Image Registration Using a Parameter-Free Elastic Model. BMVC 1998
17 Josef Heers, Christoph Schnörr, H. Siegfried Stiehl: Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern. DAGM-Symposium 1998: 109-116
16 Klaus Wiehler, Rolf-Rainer Grigat, Josef Heers, Christoph Schnörr, H. Siegfried Stiehl: Real-Time Adaptive Smoothing with a 1-D Nonlinear Relaxation. DAGM-Symposium 1998: 341-348
15 Josef Heers, Christoph Schnörr, H. Siegfried Stiehl: Investigation of Parallel and Globally Convergent Iterative Schemes for Nonlinear Variational Image Smoothing and Segmentation. ICIP (3) 1998: 279-283
1997
14EEPär Fornland, Christoph Schnörr: A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration. CVPR 1997: 508-513
13 Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl: Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements. ICIAP (1) 1997: 527-534
1996
12 Christoph Schnörr: Repräsentation von Bilddaten mit einem konvexen Variationsansatz. DAGM-Symposium 1996: 21-28
1995
11 Christoph Schnörr, Wladimir Peckar: Motion-Based Identification of Deformable Templates. CAIP 1995: 122-129
1994
10 Christoph Schnörr, Rainer Sprengel, Bernd Neumann: A Variational Approach to the Design of Early Vision Algorithms. Theoretical Foundations of Computer Vision 1994: 149-165
1993
9 Rainer Sprengel, Christoph Schnörr: Nichtlineare Diffusion zur Integration visueller Daten-Anwendung auf Kernspintomogramme. DAGM-Symposium 1993: 134-141
8 Christoph Schnörr, Heinrich Niemann, J. Kopecz: Architekturkonzepte zur Bildauswertung. KI 1993: 268-274
7EEChristoph Schnörr: On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 1074-1079 (1993)
6EEKarl Rohr, Christoph Schnörr: An efficient approach to the identification of characteristic intensity variations. Image Vision Comput. 11(5): 273-277 (1993)
1992
5 Christoph Schnörr, Bernd Neumann: Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen. DAGM-Symposium 1992: 411-416
4EEChristoph Schnörr: Computation of discontinuous optical flow by domain decomposition and shape optimization. International Journal of Computer Vision 8(2): 153-165 (1992)
1991
3EEChristoph Schnörr: Determining optical flow for irregular domains by minimizing quadratic functionals of a certain class. International Journal of Computer Vision 6(1): 25-38 (1991)
1990
2 D. Bister, Karl Rohr, Christoph Schnörr: Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge. DAGM-Symposium 1990: 44-51
1989
1 Christoph Schnörr: Zur Schätzung von Geschwindigkeitsvektorferldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung. DAGM-Symposium 1989: 294-301

Coauthor Index

1Florian Becker [70] [73] [88] [101] [102]
2Martin Bergtholdt [77] [87] [93] [94]
3D. Bister [2]
4Andrés Bruhn [36] [37] [47] [49] [51] [57] [64] [65] [66] [71] [81]
5Ulrich Brüning [37] [51]
6Bernhard Burgeth [88]
7Daniel Bystrov (Daniel Hempel) [93]
8Tony Chan [79]
9Daniel Cremers [23] [31] [32] [33] [34] [35] [38] [39] [40] [41] [45] [55] [82]
10Sebastian P. M. Dries [93]
11Olivier D. Faugeras [79]
12Christian Feddern [49] [66] [88]
13Markus Fischer [37] [51]
14Pär Fornland [14]
15Ketut Fundana [97] [98]
16Dariu Gavrila (Dariu M. Gavrila) [56] [96]
17Jan Giebel [56]
18Christian Gosch [97] [98]
19Rolf-Rainer Grigat [16] [25]
20Fred A. Hamprecht [95]
21Josef Heers [15] [16] [17] [24] [25] [28]
22Matthias Heiler [46] [59] [63] [74] [75] [78] [80] [84]
23Anders Heyden [97] [98]
24Joachim Hornegger [43] [50] [53] [60] [69]
25Bernd Jähne [95]
26Tobias Jakob [37] [51]
27Jörg H. Kappes [87] [93] [94] [104]
28Rezaul Karim [94]
29Jens Keuchel [29] [31] [38] [41] [59] [78]
30Timo Kohlberger [32] [34] [37] [39] [44] [47] [49] [51] [54] [57] [65] [66] [71] [81]
31J. Kopecz [8]
32Attila Kuba [83] [85]
33Étienne Mémin [44] [72]
34Stefan Munder [96]
35Antal Nagy [85]
36Bernd Neumann [5] [10]
37Julia Neumann [48] [58] [61] [62]
38Heinrich Niemann [8]
39Nikos Paragios [79]
40Wladimir Peckar [11] [13] [18]
41Vladimir Pekar [93]
42Stefania Petra [103]
43Marcus Prümmer [60]
44Karl Rohr [2] [6] [13] [18]
45Stefan Roth [30] [91]
46Paul Ruhnau [52] [54] [72] [86]
47Christian Schellewald [23] [29] [30] [31] [38] [41] [42] [76] [91]
48Otmar Scherzer [24]
49Stefan Schmidt [93]
50Andreas Schröder [103]
51Thomas Schüle [50] [53] [67] [68] [69] [83] [85]
52Nir A. Sochen [45] [55] [82]
53Rainer Sprengel [9] [10]
54Annette Stahl [86]
55Gabriele Steidl [48] [58] [61] [62] [70] [89] [99]
56H. Siegfried Stiehl [13] [15] [16] [17] [18] [24] [25] [28]
57Florian Tischhäuser [33]
58Andrey Vlasenko [100]
59Stefan Weber [43] [50] [53] [67] [68] [69] [83] [85]
60Joachim Weickert [19] [20] [21] [22] [23] [24] [26] [27] [33] [36] [37] [47] [49] [51] [57] [64] [65] [66] [71] [73] [81] [88]
61Martin Welk [73] [88]
62Klaus Wiehler [16] [25]
63Bernhard Wieneke [101] [103]
64Jing Yuan [52] [54] [70] [72] [89] [99] [101]
65Karel J. Zuiderveld [24]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)