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Christoph Schnörr
2010 – today
- 2013
[j56]Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr: A class of quasi-variational inequalities for adaptive image denoising and decomposition. Comp. Opt. and Appl. 54(2): 371-398 (2013)- [j55]Bernhard Schmitzer, Christoph Schnörr: Modelling Convex Shape Priors and Matching Based on the Gromov-Wasserstein Distance. Journal of Mathematical Imaging and Vision 46(1): 143-159 (2013)
- [j54]Bart M. ter Haar Romeny, Christoph Schnörr: Guest Editorial: Scale-Space and Variational Methods. Journal of Mathematical Imaging and Vision 46(3): 275 (2013)
- [c89]Stefania Petra, Christoph Schnörr, Florian Becker, Frank Lenzen: B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems. SSVM 2013: 110-124
- [c88]Bernhard Schmitzer, Christoph Schnörr: A Hierarchical Approach to Optimal Transport. SSVM 2013: 452-464
- [c87]Paul Swoboda, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr: Partial Optimality via Iterative Pruning for the Potts Model. SSVM 2013: 477-488
- [i7]Paul Swoboda, Christoph Schnörr: Convex Variational Image Restoration with Histogram Priors. CoRR abs/1301.3683 (2013)
- [i6]Jörg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnörr: Higher-order Segmentation via Multicuts. CoRR abs/1305.6387 (2013)
- 2012
- [j53]Aurelian Nicola, Stefania Petra, Constantin Popa, Christoph Schnörr: A general extending and constraining procedure for linear iterative methods. Int. J. Comput. Math. 89(2): 231-253 (2012)
- [j52]Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr: Variational Adaptive Correlation Method for Flow Estimation. IEEE Transactions on Image Processing 21(6): 3053-3065 (2012)
- [j51]Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr: Corrections to "Variational Adaptive Correlation Method for Flow Estimation". IEEE Transactions on Image Processing 21(8): 3813-3814 (2012)
- [c86]Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr: A bundle approach to efficient MAP-inference by Lagrangian relaxation. CVPR 2012: 1688-1695
- [c85]Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr: Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI 2012: 746-755
- [i5]Stefania Petra, Christoph Schnörr: Average Case Recovery Analysis of Tomographic Compressive Sensing. CoRR abs/1208.5894 (2012)
- [i4]Stefania Petra, Christoph Schnörr, Andreas Schröder: Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. CoRR abs/1209.4316 (2012)
- [i3]Bogdan Savchynskyy, Stefan Schmidt, Jörg Hendrik Kappes, Christoph Schnörr: Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. CoRR abs/1210.4906 (2012)
- 2011
- [j50]Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr: Sparse Template-Based variational Image Segmentation. Advances in Adaptive Data Analysis 3(1-2): 149-166 (2011)
- [j49]Dirk Breitenreicher, Christoph Schnörr: Model-Based Multiple Rigid Object Detection and Registration in Unstructured Range Data. International Journal of Computer Vision 92(1): 32-52 (2011)
- [j48]Jan Lellmann, Christoph Schnörr: Continuous Multiclass Labeling Approaches and Algorithms. SIAM J. Imaging Sciences 4(4): 1049-1096 (2011)
- [j47]Christoph Gustav Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca, Christoph Schnörr, Dariu M. Gavrila: The Benefits of Dense Stereo for Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems 12(4): 1096-1106 (2011)
- [c84]Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr: A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling. CVPR 2011: 1817-1823
- [c83]Jörg H. Kappes, Markus Speth, Björn Andres, Gerhard Reinelt, Christoph Schnörr: Globally Optimal Image Partitioning by Multicuts. EMMCVPR 2011: 31-44
- [c82]Stefan Schmidt, Bogdan Savchynskyy, Jörg H. Kappes, Christoph Schnörr: Evaluation of a First-Order Primal-Dual Algorithm for MRF Energy Minimization. EMMCVPR 2011: 89-103
- [c81]Jan Lellmann, Frank Lenzen, Christoph Schnörr: Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. EMMCVPR 2011: 132-146
- [c80]Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr: Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences. ICCV 2011: 1692-1699
- [c79]Fabian Rathke, Stefan Schmidt, Christoph Schnörr: Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography. MICCAI (3) 2011: 370-377
- [c78]Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr: Variational Image Denoising with Adaptive Constraint Sets. SSVM 2011: 206-217
- [c77]Bernhard Schmitzer, Christoph Schnörr: Weakly Convex Coupling Continuous Cuts and Shape Priors. SSVM 2011: 423-434
- [i2]Jan Lellmann, Christoph Schnörr: Continuous Multiclass Labeling Approaches and Algorithms. CoRR abs/1102.5448 (2011)
- [i1]Jan Lellmann, Frank Lenzen, Christoph Schnörr: Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. CoRR abs/1112.0974 (2011)
- 2010
- [j46]Martin Bergtholdt, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr: A Study of Parts-Based Object Class Detection Using Complete Graphs. International Journal of Computer Vision 87(1-2): 93-117 (2010)
- [j45]Dirk Breitenreicher, Christoph Schnörr: Robust 3D object registration without explicit correspondence using geometric integration. Mach. Vis. Appl. 21(5): 601-611 (2010)
- [j44]Andrey Vlasenko, Christoph Schnörr: Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Transactions on Image Processing 19(3): 586-595 (2010)
- [c76]Björn Andres, Jörg H. Kappes, Ullrich Köthe, Christoph Schnörr, Fred A. Hamprecht: An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. DAGM-Symposium 2010: 353-362
- [c75]Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr: Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision. ECCV (2) 2010: 494-505
- [c74]Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr: MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation. ECCV (3) 2010: 735-747
2000 – 2009
- 2009
- [j43]Jing Yuan, Christoph Schnörr, Gabriele Steidl: Convex Hodge Decomposition and Regularization of Image Flows. Journal of Mathematical Imaging and Vision 33(2): 169-177 (2009)
- [c73]Andrey Vlasenko, Christoph Schnörr: Superresolution and Denoising of 3D Fluid Flow Estimates. DAGM-Symposium 2009: 482-491
- [c72]Dirk Breitenreicher, Christoph Schnörr: Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence. EMMCVPR 2009: 274-287
- [c71]Jan Lellmann, Florian Becker, Christoph Schnörr: Convex optimization for multi-class image labeling with a novel family of total variation based regularizers. ICCV 2009: 646-653
- [c70]Fabien Lauer, Christoph Schnörr: Spectral clustering of linear subspaces for motion segmentation. ICCV 2009: 678-685
- [c69]Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr: Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. SSVM 2009: 150-162
- [c68]Jing Yuan, Christoph Schnörr, Gabriele Steidl: Total-Variation Based Piecewise Affine Regularization. SSVM 2009: 552-564
- 2008
- [j42]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)
- [c67]Jörg H. Kappes, Christoph Schnörr: MAP-Inference for Highly-Connected Graphs with DC-Programming. DAGM-Symposium 2008: 1-10
- [c66]Stefania Petra, Andreas Schröder, Bernhard Wieneke, Christoph Schnörr: On Sparsity Maximization in Tomographic Particle Image Reconstruction. DAGM-Symposium 2008: 294-303
- [c65]Florian Becker, Christoph Schnörr: Decomposition of Quadratic Variational Problems. DAGM-Symposium 2008: 325-334
- [c64]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
- [c63]Andrey Vlasenko, Christoph Schnörr: Physically Consistent Variational Denoising of Image Fluid Flow Estimates. DAGM-Symposium 2008: 406-415
- [c62]Jing Yuan, Gabriele Steidl, Christoph Schnörr: Convex Hodge Decomposition of Image Flows. DAGM-Symposium 2008: 416-425
- [c61]Christian Gosch, Ketut Fundana, Anders Heyden, Christoph Schnörr: View Point Tracking of Rigid Objects Based on Shape Sub-manifolds. ECCV (3) 2008: 251-263
- [c60]Ketut Fundana, Anders Heyden, Christian Gosch, Christoph Schnörr: Continuous graph cuts for prior-based object segmentation. ICPR 2008: 1-4
- 2007
- [j41]Christoph Schnörr: Signal and image approximation with level-set constraints. Computing 81(2-3): 137-160 (2007)
- [j40]Christoph Schnörr: Editorial: Marr Prize and Honorable Mentions at ICCV 2005. International Journal of Computer Vision 74(1): 1 (2007)
- [j39]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)
- [j38]Jürgen Gall, Jürgen Potthoff, Christoph Schnörr, Bodo Rosenhahn, Hans-Peter Seidel: Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications. Journal of Mathematical Imaging and Vision 28(1): 1-18 (2007)
- [j37]Jing Yuan, Christoph Schnörr, Étienne Mémin: Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Journal of Mathematical Imaging and Vision 28(1): 67-80 (2007)
- [j36]Jing Yuan, Christoph Schnörr, Gabriele Steidl: Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Scientific Computing 29(6): 2283-2304 (2007)
- [j35]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)
- [c59]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
- [c58]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
- [e2]Fred A. Hamprecht, Christoph Schnörr, Bernd Jähne (Eds.): Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings. Lecture Notes in Computer Science 4713, Springer 2007, ISBN 978-3-540-74933-2
- 2006
- [j34]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)
- [j33]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)
- [j32]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)
- [c57]Martin Bergtholdt, Jörg H. Kappes, Christoph Schnörr: Learning of Graphical Models and Efficient Inference for Object Class Recognition. DAGM-Symposium 2006: 273-283
- [c56]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
- [c55]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
- [c54]Matthias Heiler, Christoph Schnörr: Controlling Sparseness in Non-negative Tensor Factorization. ECCV (1) 2006: 56-67
- [c53]Stefan Weber, Thomas Schüle, Attila Kuba, Christoph Schnörr: Binary Tomography with Deblurring. IWCIA 2006: 375-388
- 2005
- [j31]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)
- [j30]Stefan Weber, Thomas Schüle, Christoph Schnörr: Prior Learning and Convex-Concave Regularization of Binary Tomography. Electronic Notes in Discrete Mathematics 20: 313-327 (2005)
- [j29]Thomas Schüle, Stefan Weber, Christoph Schnörr: Adaptive Reconstruction of Discrete-Valued Objects from few Projections. Electronic Notes in Discrete Mathematics 20: 365-384 (2005)
- [j28]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)
- [j27]Matthias Heiler, Christoph Schnörr: Natural Image Statistics for Natural Image Segmentation. International Journal of Computer Vision 63(1): 5-19 (2005)
- [j26]Julia Neumann, Christoph Schnörr, Gabriele Steidl: Combined SVM-Based Feature Selection and Classification. Machine Learning 61(1-3): 129-150 (2005)
- [j25]Julia Neumann, Christoph Schnörr, Gabriele Steidl: Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognition 38(11): 1815-1830 (2005)
- [j24]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)
- [j23]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)
- [c52]Matthias Heiler, Jens Keuchel, Christoph Schnörr: Semidefinite Clustering for Image Segmentation with A-priori Knowledge. DAGM-Symposium 2005: 309-317
- [c51]Martin Bergtholdt, Christoph Schnörr: Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes. DAGM-Symposium 2005: 342-350
- [c50]Christian Schellewald, Christoph Schnörr: Probabilistic Subgraph Matching Based on Convex Relaxation. EMMCVPR 2005: 171-186
- [c49]Matthias Heiler, Christoph Schnörr: Reverse-Convex Programming for Sparse Image Codes. EMMCVPR 2005: 600-616
- [c48]Matthias Heiler, Christoph Schnörr: Learning Non-Negative Sparse Image Codes by Convex Programming. ICCV 2005: 1667-1674
- [c47]Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert: Matrix-Valued Filters as Convex Programs. Scale-Space 2005: 204-216
- [c46]Jing Yuan, Paul Ruhnau, Étienne Mémin, Christoph Schnörr: Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005: 267-278
- [c45]Andrés Bruhn, Joachim Weickert, Timo Kohlberger, Christoph Schnörr: Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005: 279-290
- [c44]Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker: A Study of Non-smooth Convex Flow Decomposition. VLSM 2005: 1-12
- [e1]Nikos Paragios, Olivier D. Faugeras, Tony Chan, Christoph Schnörr (Eds.): Variational, Geometric, and Level Set Methods in Computer Vision, Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005, Proceedings. Lecture Notes in Computer Science 3752, Springer 2005, ISBN 3-540-29348-5
- 2004
- [j22]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)
- [c43]Marcus Prümmer, Joachim Hornegger, Christoph Schnörr: Computerunterstützte Gefäßanalyse für die interventionelle Anwendung. Bildverarbeitung für die Medizin 2004: 314-318
- [c42]Jens Keuchel, Matthias Heiler, Christoph Schnörr: Hierarchical Image Segmentation Based on Semidefinite Programming. DAGM-Symposium 2004: 120-128
- [c41]Julia Neumann, Christoph Schnörr, Gabriele Steidl: SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219
- [c40]Daniel Cremers, Nir A. Sochen, Christoph Schnörr: Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. ECCV (4) 2004: 74-86
- [c39]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. ECCV (4) 2004: 205-216
- [c38]Jan Giebel, Dariu Gavrila, Christoph Schnörr: A Bayesian Framework for Multi-cue 3D Object Tracking. ECCV (4) 2004: 241-252
- [c37]Jing Yuan, Christoph Schnörr, Timo Kohlberger, Paul Ruhnau: Convex Set-Based Estimation of Image Flows. ICPR (1) 2004: 124-127
- [c36]Stefan Weber, Thomas Schüle, Joachim Hornegger, Christoph Schnörr: Binary Tomography by Iterating Linear Programs from Noisy Projections. IWCIA 2004: 38-51
- [c35]Paul Ruhnau, Jing Yuan, Christoph Schnörr: On Variational Methods for Fluid Flow Estimation. IWCM 2004: 124-145
- 2003
- [j21]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)
- [j20]Christian Schellewald, Christoph Schnörr: Subgraph Matching with Semidefinite Programming. Electronic Notes in Discrete Mathematics 12: 279-289 (2003)
- [j19]Daniel Cremers, Christoph Schnörr: Statistical shape knowledge in variational motion segmentation. Image Vision Comput. 21(1): 77-86 (2003)
- [j18]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)
- [j17]Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Shape statistics in kernel space for variational image segmentation. Pattern Recognition 36(9): 1929-1943 (2003)
- [c34]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
- [c33]Andrés Bruhn, Joachim Weickert, Christian Feddern, Timo Kohlberger, Christoph Schnörr: Real-Time Optic Flow Computation with Variational Methods. CAIP 2003: 222-229
- [c32]Julia Neumann, Christoph Schnörr, Gabriele Steidl: Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595
- [c31]Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert: Domain Decomposition for Parallel Variational Optical Flow Computation. DAGM-Symposium 2003: 196-203
- [c30]Matthias Heiler, Christoph Schnörr: Natural Image Statistics for Natural Image Segmentation. ICCV 2003: 1259-1266
- [c29]Daniel Cremers, Nir A. Sochen, Christoph Schnörr: Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. Scale-Space 2003: 388-400
- [c28]Timo Kohlberger, Étienne Mémin, Christoph Schnörr: Variational Dense Motion Estimation Using the Helmholtz Decomposition. Scale-Space 2003: 432-448
- 2002
- [j16]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)
- [c27]Jens Keuchel, Christoph Schnörr, Christian Schellewald, Daniel Cremers: Unsupervised Image Partitioning with Semidefinite Programming. DAGM-Symposium 2002: 141-149
- [c26]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
- [c25]Andrés Bruhn, Joachim Weickert, Christoph Schnörr: Combining the Advantages of Local and Global Optic Flow Methods. DAGM-Symposium 2002: 454-462
- [c24]Daniel Cremers, Christoph Schnörr: Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization. DAGM-Symposium 2002: 472-480
- [c23]Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics in Mumford-Shah Based Segmentation. ECCV (2) 2002: 93-108
- 2001
- [j15]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)
- [j14]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)
- [j13]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)
- [j12]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)
- [j11]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)
- [c22]Daniel Cremers, Timo Kohlberger, Christoph Schnörr: Nonlinear Shape Statistics via Kernel Spaces. DAGM-Symposium 2001: 269-276
- [c21]Jens Keuchel, Christian Schellewald, Daniel Cremers, Christoph Schnörr: Convex Relaxations for Binary Image Partitioning and Perceptual Grouping. DAGM-Symposium 2001: 353-360
- [c20]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
- [c19]Christian Schellewald, Jens Keuchel, Christoph Schnörr: Image Labeling and Grouping by Minimizing Linear Functionals over Cones. EMMCVPR 2001: 267-282
- 2000
- [j10]Joachim Weickert, Christoph Schnörr: PDE - Based Preprocessing of Medical Images. KI 14(3): 5-10 (2000)
- [j9]
- [c18]Daniel Cremers, Christoph Schnörr, Joachim Weickert, Christian Schellewald: Diffusion-Snakes Using Statistical Shape Knowledge. AFPAC 2000: 164-174
- [c17]Christoph Schnörr, Joachim Weickert: Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives. DAGM-Symposium 2000: 476-488
1990 – 1999
- 1999
- [j8]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl: Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. Journal of Mathematical Imaging and Vision 10(2): 143-162 (1999)
- [c16]Joachim Weickert, Christoph Schnörr: Räumlich-zeitliche Berechnung des optischen Flusses mit nichtlinearen flußabhängigen Glattheitstermen. DAGM-Symposium 1999: 317-324
- 1998
- [j7]Christoph Schnörr: A Study of a Convex Variational Diffusion Approach for Image Segmentation and Feature Extraction. Journal of Mathematical Imaging and Vision 8(3): 271-292 (1998)
- [c15]Wladimir Peckar, Christoph Schnörr, Karl Rohr, H. Siegfried Stiehl: Non-Rigid Image Registration Using a Parameter-Free Elastic Model. BMVC 1998: 1-10
- [c14]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
- [c13]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
- [c12]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
- [c11]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
- [c10]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
- [c9]Christoph Schnörr: Repräsentation von Bilddaten mit einem konvexen Variationsansatz. DAGM-Symposium 1996: 21-28
- 1995
- [c8]Christoph Schnörr, Wladimir Peckar: Motion-Based Identification of Deformable Templates. CAIP 1995: 122-129
- 1994
- [j6]Christoph Schnörr, Rainer Sprengel: A nonlinear regularization approach to early vision. Biological Cybernetics 72(2): 141-149 (1994)
- [j5]Christoph Schnörr: Unique reconstruction of piecewise-smooth images by minimizing strictly convex nonquadratic functionals. Journal of Mathematical Imaging and Vision 4(2): 189-198 (1994)
- [c7]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
- [j4]Karl Rohr, Christoph Schnörr: An efficient approach to the identification of characteristic intensity variations. Image Vision Comput. 11(5): 273-277 (1993)
- [j3]Christoph Schnörr: On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow. IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 1074-1079 (1993)
- [c6]Rainer Sprengel, Christoph Schnörr: Nichtlineare Diffusion zur Integration visueller Daten-Anwendung auf Kernspintomogramme. DAGM-Symposium 1993: 134-141
- [c5]Christoph Schnörr, Heinrich Niemann, J. Kopecz: Architekturkonzepte zur Bildauswertung. KI 1993: 268-274
- 1992
- [j2]Christoph Schnörr: Computation of discontinuous optical flow by domain decomposition and shape optimization. International Journal of Computer Vision 8(2): 153-165 (1992)
- [c4]Christoph Schnörr, Bernd Neumann: Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen. DAGM-Symposium 1992: 411-416
- 1991
- [j1]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
- [c3]Christoph Schnörr: Computation of discontinous optical flow by domain decomposition and shape optimization. BMVC 1990: 1-6
- [c2]D. Bister, Karl Rohr, Christoph Schnörr: Automatische Bestimmung der Trajektorien von sich bewegenden Objekten aus einer Bildfolge. DAGM-Symposium 1990: 44-51
1980 – 1989
- 1989
- [c1]Christoph Schnörr: Zur Schätzung von Geschwindigkeitsvektorferldern in Bildfolgen mit einer richtungsabhängigen Glattheitsforderung. DAGM-Symposium 1989: 294-301
Coauthor Index
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last updated on 2013-06-18 22:44 CEST by the dblp team