Christoph Schnörr
34 publications
9 venues
H Index 20
Affiliation
Heidelberg University, HCI, GermanyLinks
| Name | Venue | Year | citations |
|---|---|---|---|
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows.
|
ICML | 2024 | 0 |
| On the Convergence Rate of Gaussianization with Random Rotations.
|
ICML | 2023 | 0 |
| On Certified Generalization in Structured Prediction.
|
NIPS/NeurIPS | 2023 | 0 |
| Learning system parameters from turing patterns.
|
MLJ | 2023 | 0 |
| Whitening Convergence Rate of Coupling-based Normalizing Flows.
|
NIPS/NeurIPS | 2022 | 0 |
| Sum-product graphical models.
|
MLJ | 2020 | 0 |
| Double-Opponent Vectorial Total Variation.
|
ECCV | 2016 | 2 |
| A Geometric Approach to Image Labeling.
|
ECCV | 2016 | 2 |
| Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
|
TPAMI | 2016 | 0 |
| Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
|
CVPR | 2014 | 26 |
| Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation.
|
NIPS/NeurIPS | 2013 | 20 |
| A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
|
CVPR | 2013 | 218 |
| Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization.
|
CVPR | 2013 | 31 |
| Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing.
|
UAI | 2012 | 58 |
| A bundle approach to efficient MAP-inference by Lagrangian relaxation.
|
CVPR | 2012 | 53 |
| Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences.
|
ICCV | 2011 | 19 |
| A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling.
|
CVPR | 2011 | 68 |
| Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision.
|
ECCV | 2010 | 32 |
| MRF Inference by
|
ECCV | 2010 | 0 |
| Spectral clustering of linear subspaces for motion segmentation.
|
ICCV | 2009 | 155 |
| Convex optimization for multi-class image labeling with a novel family of total variation based regularizers.
|
ICCV | 2009 | 67 |
| View Point Tracking of Rigid Objects Based on Shape Sub-manifolds.
|
ECCV | 2008 | 6 |
| Controlling Sparseness in Non-negative Tensor Factorization.
|
ECCV | 2006 | 50 |
| Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming.
|
JMLR | 2006 | 105 |
| Learning Non-Negative Sparse Image Codes by Convex Programming.
|
ICCV | 2005 | 24 |
| Combined SVM-Based Feature Selection and Classification.
|
MLJ | 2005 | 252 |
| Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing.
|
ECCV | 2004 | 12 |
| Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation.
|
ECCV | 2004 | 64 |
| A Bayesian Framework for Multi-cue 3D Object Tracking.
|
ECCV | 2004 | 156 |
| Natural Image Statistics for Natural Image Segmentation.
|
ICCV | 2003 | 89 |
| Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming.
|
TPAMI | 2003 | 116 |
| Nonlinear Shape Statistics in Mumford-Shah Based Segmentation.
|
ECCV | 2002 | 195 |
| A robust and convergent iterative approach for determining the dominant plane from two views without correspondence and calibration.
|
CVPR | 1997 | 19 |
| On Functionals with Greyvalue-Controlled Smoothness Terms for Determining Optical Flow.
|
TPAMI | 1993 | 34 |