2008 | ||
---|---|---|
104 | EE | Jörg H. Kappes, Christoph Schnörr: MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium 2008: 1-10 |
103 | EE | Stefania Petra, Andreas Schröder, Bernhard Wieneke, Christoph Schnörr: On Sparsity Maximization in Tomographic Particle Image Reconstruction. DAGM-Symposium 2008: 294-303 |
102 | EE | Florian Becker, Christoph Schnörr: Decomposition of Quadratic Variational Problems. DAGM-Symposium 2008: 325-334 |
101 | EE | Florian 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 |
100 | EE | Andrey Vlasenko, Christoph Schnörr: Physically Consistent Variational Denoising of Image Fluid Flow Estimates. DAGM-Symposium 2008: 406-415 |
99 | EE | Jing Yuan, Gabriele Steidl, Christoph Schnörr: Convex Hodge Decomposition of Image Flows. DAGM-Symposium 2008: 416-425 |
98 | EE | Christian Gosch, Ketut Fundana, Anders Heyden, Christoph Schnörr: View Point Tracking of Rigid Objects Based on Shape Sub-manifolds. ECCV (3) 2008: 251-263 |
97 | EE | Ketut Fundana, Anders Heyden, Christian Gosch, Christoph Schnörr: Continuous graph cuts for prior-based object segmentation. ICPR 2008: 1-4 |
96 | EE | Stefan 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 | |
94 | EE | Rezaul Karim, Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr: Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification. DAGM-Symposium 2007: 395-404 |
93 | EE | Stefan 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 |
92 | EE | Christoph Schnörr: Signal and image approximation with level-set constraints. Computing 81(2-3): 137-160 (2007) |
91 | EE | Christian 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) |
90 | EE | Christoph Schnörr: Editorial: Marr Prize and Honorable Mentions at ICCV 2005. International Journal of Computer Vision 74(1): 1 (2007) |
89 | EE | Jing Yuan, Christoph Schnörr, Gabriele Steidl: Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Scientific Computing 29(6): 2283-2304 (2007) |
88 | EE | Martin 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 | ||
87 | EE | Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr: Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium 2006: 273-283 |
86 | EE | Paul Ruhnau, Annette Stahl, Christoph Schnörr: On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization. DAGM-Symposium 2006: 444-454 |
85 | EE | Stefan Weber, Antal Nagy, Thomas Schüle, Christoph Schnörr, Attila Kuba: A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography. DGCI 2006: 146-156 |
84 | EE | Matthias Heiler, Christoph Schnörr: Controlling Sparseness in Non-negative Tensor Factorization. ECCV (1) 2006: 56-67 |
83 | EE | Stefan Weber, Thomas Schüle, Attila Kuba, Christoph Schnörr: Binary Tomography with Deblurring. IWCIA 2006: 375-388 |
82 | EE | Daniel 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) |
81 | EE | Andrés 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) |
80 | EE | Matthias 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 | |
78 | EE | Matthias Heiler, Jens Keuchel, Christoph Schnörr: Semidefinite Clustering for Image Segmentation with A-priori Knowledge. DAGM-Symposium 2005: 309-317 |
77 | EE | Martin Bergtholdt, Christoph Schnörr: Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium 2005: 342-350 |
76 | EE | Christian Schellewald, Christoph Schnörr: Probabilistic Subgraph Matching Based on Convex Relaxation. EMMCVPR 2005: 171-186 |
75 | EE | Matthias Heiler, Christoph Schnörr: Reverse-Convex Programming for Sparse Image Codes. EMMCVPR 2005: 600-616 |
74 | EE | Matthias Heiler, Christoph Schnörr: Learning Non-Negative Sparse Image Codes by Convex Programming. ICCV 2005: 1667-1674 |
73 | EE | Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert: Matrix-Valued Filters as Convex Programs. Scale-Space 2005: 204-216 |
72 | EE | Jing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr: Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005: 267-278 |
71 | EE | Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr: Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005: 279-290 |
70 | EE | Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker: A Study of Non-smooth Convex Flow Decomposition. VLSM 2005: 1-12 |
69 | EE | Thomas 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) |
68 | EE | Stefan Weber, Thomas Schüle, Christoph Schnörr: Prior Learning and Convex-Concave Regularization of Binary Tomography. Electronic Notes in Discrete Mathematics 20: 313-327 (2005) |
67 | EE | Thomas Schüle, Stefan Weber, Christoph Schnörr: Adaptive Reconstruction of Discrete-Valued Objects from few Projections. Electronic Notes in Discrete Mathematics 20: 365-384 (2005) |
66 | EE | Andrés 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) |
65 | EE | Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Domain decomposition for variational optical-flow computation. IEEE Transactions on Image Processing 14(8): 1125-1137 (2005) |
64 | EE | Andrés 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) |
63 | EE | Matthias Heiler, Christoph Schnörr: Natural Image Statistics for Natural Image Segmentation. International Journal of Computer Vision 63(1): 5-19 (2005) |
62 | EE | Julia Neumann, Christoph Schnörr, Gabriele Steidl: Combined SVM-Based Feature Selection and Classification. Machine Learning 61(1-3): 129-150 (2005) |
61 | EE | Julia Neumann, Christoph Schnörr, Gabriele Steidl: Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognition 38(11): 1815-1830 (2005) |
2004 | ||
60 | EE | Marcus Prümmer, Joachim Hornegger, Christoph Schnörr: Computerunterstützte Gefäßanalyse für die interventionelle Anwendung. Bildverarbeitung für die Medizin 2004: 314-318 |
59 | EE | Jens Keuchel, Matthias Heiler, Christoph Schnörr: Hierarchical Image Segmentation Based on Semidefinite Programming. DAGM-Symposium 2004: 120-128 |
58 | EE | Julia Neumann, Christoph Schnörr, Gabriele Steidl: SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219 |
57 | EE | Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. ECCV (4) 2004: 205-216 |
56 | EE | Jan Giebel, Dariu Gavrila, Christoph Schnörr: A Bayesian Framework for Multi-cue 3D Object Tracking. ECCV (4) 2004: 241-252 |
55 | EE | Daniel Cremers, Nir A. Sochen, Christoph Schnörr: Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) 2004: 74-86 |
54 | EE | Jing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau: Convex Set-Based Estimation of Image Flows. ICPR (1) 2004: 124-127 |
53 | EE | Stefan Weber, Thomas Schüle, Joachim Hornegger, Christoph Schnörr: Binary Tomography by Iterating Linear Programs from Noisy Projections. IWCIA 2004: 38-51 |
52 | EE | Paul Ruhnau, Jing Yuan, Christoph Schnörr: On Variational Methods for Fluid Flow Estimation. IWCM 2004: 124-145 |
51 | EE | Andrés 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 | ||
50 | EE | Stefan 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 |
49 | EE | Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr: Real-Time Optic Flow Computation with Variational Methods. CAIP 2003: 222-229 |
48 | EE | Julia Neumann, Christoph Schnörr, Gabriele Steidl: Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595 |
47 | EE | Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Domain Decomposition for Parallel Variational Optical Flow Computation. DAGM-Symposium 2003: 196-203 |
46 | EE | Matthias Heiler, Christoph Schnörr: Natural Image Statistics for Natural Image Segmentation. ICCV 2003: 1259-1266 |
45 | EE | Daniel Cremers, Nir A. Sochen, Christoph Schnörr: Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space 2003: 388-400 |
44 | EE | Timo Kohlberger, Étienne Mémin, Christoph Schnörr: Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space 2003: 432-448 |
43 | EE | Stefan Weber, Christoph Schnörr, Joachim Hornegger: A Linear Programming Relaxation for Binary Tomography with Smoothness Priors. Electronic Notes in Discrete Mathematics 12: 243-254 (2003) |
42 | EE | Christian Schellewald, Christoph Schnörr: Subgraph Matching with Semidefinite Programming. Electronic Notes in Discrete Mathematics 12: 279-289 (2003) |
41 | EE | Jens 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) |
40 | EE | Daniel Cremers, Christoph Schnörr: Statistical shape knowledge in variational motion segmentation. Image Vision Comput. 21(1): 77-86 (2003) |
39 | EE | Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Shape statistics in kernel space for variational image segmentation. Pattern Recognition 36(9): 1929-1943 (2003) |
2002 | ||
38 | EE | Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers: Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium 2002: 141-149 |
37 | EE | Andrés 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 |
36 | EE | Andrés Bruhn, Joachim Weickert, Christoph Schnörr: Combining the Advantages of Local and Global Optic Flow Methods. DAGM-Symposium 2002: 454-462 |
35 | EE | Daniel Cremers, Christoph Schnörr: Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium 2002: 472-480 |
34 | EE | Daniel 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 | ||
32 | EE | Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium 2001: 269-276 |
31 | EE | Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr: Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium 2001: 353-360 |
30 | EE | Christian Schellewald, Stefan Roth, Christoph Schnörr: Evaluation of Convex Optimization Techniques for the Weighted Graph-Matching Problem in Computer Vision. DAGM-Symposium 2001: 361-368 |
29 | EE | Christian Schellewald, Jens Keuchel, Christoph Schnörr: Image Labeling and Grouping by Minimizing Linear Functionals over Cones. EMMCVPR 2001: 267-282 |
28 | EE | Josef 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) | |
25 | EE | Klaus 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) |
24 | EE | Joachim 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 | ||
18 | EE | Wladimir 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 | ||
14 | EE | Pär 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 | |
7 | EE | Christoph Schnörr: On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 1074-1079 (1993) |
6 | EE | Karl 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 | |
4 | EE | Christoph Schnörr: Computation of discontinuous optical flow by domain decomposition and shape optimization. International Journal of Computer Vision 8(2): 153-165 (1992) |
1991 | ||
3 | EE | Christoph 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 |