Artigos com autorizações de acesso público - Christoph SchnörrSaiba mais
Não disponíveis em nenhum local: 10
Variational adaptive correlation method for flow estimation
F Becker, B Wieneke, S Petra, A Schroder, C Schnorr
IEEE transactions on image processing 21 (6), 3053-3065, 2011
Autorizações: German Research Foundation
Compressed motion sensing
R Dalitz, S Petra, C Schnörr
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
Autorizações: German Research Foundation
Image reconstruction by multilabel propagation
M Zisler, F Åström, S Petra, C Schnörr
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
Autorizações: German Research Foundation
On coupled regularization for non-convex variational image enhancement
F Åström, C Schnorr
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 786-790, 2015
Autorizações: German Research Foundation
Superresolution and denoising of 3d fluid flow estimates
A Vlasenko, C Schnörr
Joint Pattern Recognition Symposium, 482-491, 2009
Autorizações: German Research Foundation
Spatially Regularized Geometric Assignment for Unsupervised Label Learning on Manifolds
A Zern, M Zisler, S Petra, C Schnörr
PAMM 19 (1), e201900258, 2019
Autorizações: German Research Foundation
Riemannian SOS-Polynomial Normalizing Flows
J Schwarz, F Draxler, U Köthe, C Schnörr
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
Autorizações: German Research Foundation
Riemannian Structure and Flows for Smooth Geometric Image Labeling
F Savarino, C Schnörr
PAMM 19 (1), e201900218, 2019
Autorizações: German Research Foundation
Segmentation of OCT Scans Using Probabilistic Graphical Models
F Rathke, M Desana, C Schnörr
Retinal Optical Coherence Tomography Image Analysis, 105-130, 2019
Autorizações: German Research Foundation
Multiscale Adaptive Correlation Method for Ultrasound Speckle Image Velocimetry
E Bodnariuc, C Schnörr
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
Autorizações: German Research Foundation
Disponíveis em algum local: 91
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
J Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ...
International Journal of Computer Vision 115 (2), 155-184, 2015
Autorizações: German Research Foundation
A multigrid platform for real-time motion computation with discontinuity-preserving variational methods
A Bruhn, J Weickert, T Kohlberger, C Schnörr
International Journal of Computer Vision 70, 257-277, 2006
Autorizações: German Research Foundation
Convex multi-class image labeling by simplex-constrained total variation
J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr
Scale Space and Variational Methods in Computer Vision: Second International …, 2009
Autorizações: German Research Foundation
The benefits of dense stereo for pedestrian detection
CG Keller, M Enzweiler, M Rohrbach, DF Llorca, C Schnorr, DM Gavrila
IEEE transactions on intelligent transportation systems 12 (4), 1096-1106, 2011
Autorizações: German Research Foundation
Optical stokes flow estimation: an imaging-based control approach
P Ruhnau, C Schnörr
Experiments in Fluids 42, 61-78, 2007
Autorizações: German Research Foundation
Variational estimation of experimental fluid flows with physics-based spatio-temporal regularization
P Ruhnau, A Stahl, C Schnörr
Measurement Science and Technology 18 (3), 755, 2007
Autorizações: German Research Foundation
A study of Nesterov's scheme for Lagrangian decomposition and MAP labeling
B Savchynskyy, J Kappes, S Schmidt, C Schnörr
CVPR 2011, 1817-1823, 2011
Autorizações: German Research Foundation
A bundle approach to efficient MAP-inference by Lagrangian relaxation
JH Kappes, B Savchynskyy, C Schnörr
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1688-1695, 2012
Autorizações: German Research Foundation
Image labeling by assignment
F Åström, S Petra, B Schmitzer, C Schnörr
Journal of Mathematical Imaging and Vision 58, 211-238, 2017
Autorizações: German Research Foundation
Higher-order segmentation via multicuts
JH Kappes, M Speth, G Reinelt, C Schnörr
Computer Vision and Image Understanding 143, 104-119, 2016
Autorizações: German Research Foundation
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