Schnorr, Christoph

31 publications

MLJ 2023 Learning System Parameters from Turing Patterns David Schnörr, Christoph Schnörr

NeurIPS 2023 On Certified Generalization in Structured Prediction Bastian Boll, Christoph Schnörr

ICCVW 2023 On Moving Object Segmentation from Monocular Video with Transformers Christian Homeyer, Christoph Schnörr

NeurIPS 2022 Whitening Convergence Rate of Coupling-Based Normalizing Flows Felix Draxler, Christoph Schnörr, Ullrich Köthe

MLJ 2020 Sum-Product Graphical Models Mattia Desana, Christoph Schnörr

ECCV 2016 A Geometric Approach to Image Labeling Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

ECCV 2016 Double-Opponent Vectorial Total Variation Freddie Åström, Christoph Schnörr

CVPRW 2016 The Assignment Manifold: A Smooth Model for Image Labeling Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

ECCVW 2014 MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves Jörg Hendrik Kappes, Thorsten Beier, Christoph Schnörr

CVPR 2014 Partial Optimality by Pruning for MAP-Inference with General Graphical Models Paul Swoboda, Bogdan Savchynskyy, Jorg H. Kappes, Christoph Schnorr

NeurIPS 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr

CVPR 2013 Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization Jorg Hendrik Kappes, Markus Speth, Gerhard Reinelt, Christoph Schnorr

CVPR 2012 A Bundle Approach to Efficient MAP-Inference by Lagrangian Relaxation Jörg Hendrik Kappes, Bogdan Savchynskyy, Christoph Schnörr

UAI 2012 Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing Bogdan Savchynskyy, Stefan Schmidt, Jörg H. Kappes, Christoph Schnörr

CVPR 2011 A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling Bogdan Savchynskyy, Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr

ICCV 2011 Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr

ECCV 2010 Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr

ECCV 2010 MRF Inference by K-Fan Decomposition and Tight Lagrangian Relaxation Jörg H. Kappes, Stefan Schmidt, Christoph Schnörr

ICCV 2009 Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers Jan Lellmann, Florian Becker, Christoph Schnörr

ICCV 2009 Spectral Clustering of Linear Subspaces for Motion Segmentation Fabien Lauer, Christoph Schnörr

ECCV 2008 View Point Tracking of Rigid Objects Based on Shape Sub-Manifolds Christian Gosch, Ketut Fundana, Anders Heyden, Christoph Schnörr

ECCV 2006 Controlling Sparseness in Non-Negative Tensor Factorization Matthias Heiler, Christoph Schnörr

JMLR 2006 Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming Matthias Heiler, Christoph Schnörr

MLJ 2005 Combined SVM-Based Feature Selection and Classification Julia Neumann, Christoph Schnörr, Gabriele Steidl

ICCV 2005 Learning Non-Negative Sparse Image Codes by Convex Programming Matthias Heiler, Christoph Schnörr

ECCV 2004 A Bayesian Framework for Multi-Cue 3D Object Tracking Jan Giebel, Dariu Gavrila, Christoph Schnörr

ECCV 2004 Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation Daniel Cremers, Nir A. Sochen, Christoph Schnörr

ECCV 2004 Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing Timo Kohlberger, Christoph Schnörr, Andrés Bruhn, Joachim Weickert

ICCV 2003 Natural Image Statistics for Natural Image Segmentation Matthias Heiler, Christoph Schnörr

ECCV 2002 Nonlinear Shape Statistics in Mumford-Shah Based Segmentation Daniel Cremers, Timo Kohlberger, Christoph Schnörr

CVPR 1997 A Robust and Convergent Iterative Approach for Determining the Dominant Plane from Two Views Without Correspondence and Calibration Pär Fornland, Christoph Schnörr