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 |