Publications
2018
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Hühnerbein, R.; Savarino, F.; Åström, F. and Schnörr, C.
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment.
arXiv, 2018.
arXiv
www
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Kostrykin, L.; Schnörr, C. and Rohr, K.
Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming.
In Proc. ISBI, 2018.
pdf
2017
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Åström, F. and Schnörr, C.
A Geometric Approach for Color Image Regularization.
Comp. Vision Image Understanding, 2017.
pdf
doi
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Hühnerbein, R.; Savarino, F.; Åström, F. and Schnörr, C.
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment.
arXiv, 2017.
pdf
www
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Zern, A.; Rohr, K. and Schnörr, C.
Geometric Image Labeling with Global Convex Labeling Constraints.
Proc. EMMCVPR, 2017.
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Zisler, M.; Savarino, F.; Petra, S. and Schnörr, C.
Gradient Flows on a Riemannian Submanifold for Discrete Tomography.
Proc. GCPR 2017.
pdf
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Bodnariuc, E.; Petra, S.; Schnörr, C. and Voorneveld, J.
A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry.
Proc. GCPR, 2017.
pdf
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Rathke, F.; Desana, M. and Schnörr, C.
Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans.
Proc. MICCAI, 2017.
pdf
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Dalitz, R.; Petra, S. and Schnörr, C.
Compressed Motion Sensing.
Proc. SSVM, LNCS 10302, 2017.
pdf
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Savarino, F.; Hühnerbein, R.; Åström, F.; Recknagel, J. and Schnörr, C.
Numerical Integration of Riemannian Gradient Flows for Image Labeling.
Proc. SSVM, Springer, LNCS 10302, 2017.
pdf
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Åström, F.; Hühnerbein, R.; Savarino, F.; Recknagel, J. and Schnörr, C.
MAP Image Labeling Using Wasserstein Messages and Geometric Assignment.
Proc. SSVM, Springer, LNCS 10302, 2017.
pdf
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Zisler, M.; Åström, F.; Petra, S. and Schnörr, C.
Image Reconstruction by Multilabel Propagation.
Proc. SSVM, Springer, LNCS 10302, 2017.
pdf
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Markowsky, P.; Reith, S.; Zuber, T.E.; König, R.; Rohr, K. and Schnörr, C.
Segmentation of cell structure using model-based set covering with iterative reweighting.
In Proc. ISBI, 2017.
pdf
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Åström, F.; Petra, S.; Schmitzer, B. and Schnörr, C.
Image Labeling by Assignment.
In J. Math. Imag. Vision, 58 (2): 211-238, 2017.
link
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Berger, J.; Lenzen, F.; Becker, F.; Neufeld, A. and Schnörr, C.
Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations.
In J. Math. Imag. Vision, 58 (1): 102-129, 2017.
pdf
2016
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Silvestri, F.; Reinelt, G. and Schnörr, C.
Symmetry-free SDP Relaxations for Affine Subspace Clustering.
ArXiv, preprint 2016.
www
pdf
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Censor, Y.; Gibali, A.; Lenzen, F. and Schnörr, C.
The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising. In J. Comp. Math, in press, 2016.
www
pdf
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Desana, M. and Schnörr, C.
Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models.
2016.
www
pdf
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Kappes, J.H.; Swoboda, P.; Savchynskyy, B.; Hazan, T. and Schnörr, C.
Multicuts and Perturb & MAP for Probabilistic Graph Clustering.
In J. Math. Imag. Vision, 2016.
pdf
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Zisler, M.; Kappes, J.H.; Schnörr, Cl.; Petra, S. and Schnörr, Ch.
Ch. Non-Binary Discrete Tomography by Continuous Non-Convex Optimization.
In IEEE Comp. Imaging, in press, 2016.
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Åström, F. and Schnörr, C.
A Geometric Approach to Color Image Regularization. 2016.
pdf
arXiv
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Åström, F.; Petra, S.; Schmitzer, B. and Schnörr, C.
Image Labeling by Assignment,
2016.
pdf
arXiv
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Jaroudi, R.; Baravdish, G.; Åström, F. and Johansson, B.T.
Source Localization of Reaction-Diffusion Models for Brain Tumors.
In German Conference on Pattern Recognition (GCPR), Hannover, Germany,
Springer, 2016.
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Åström, F.
Color Image Regularization via Channel Mixing and Half Quadratic Minimization.
In International Conference on Image Processing (ICIP), Phoenix, USA,
2016.
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Åström, F.; Petra, S.; Schmitzer, B. and Schnörr, C.
The Assignment Manifold: A Smooth Model for Image Labeling.
In Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16) held in conjunction with CVPR, Las Vegas, USA,
(Grenander best paper award), 2016.
[pdf]
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Berger, J. and Schnörr, C.
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map.
In 38th German Conference on Pattern Recognition,
Springer, Hannover, 2016.
arXiv
pdf
Supplemental Material
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Bodnariuc, E.; Petra, S.; Poelma, C. and Schnörr, C.
Parametric Dictionary-Based Velocimetry for Echo PIV.
In 38th German Conference on Pattern Recognition,
Springer, Hannover, 2016.
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Swoboda, P.; Shekhovtsov, A.; Kappes, J.H.; Schnörr, C. and Savchynskyy, B.
Partial Optimality by Pruning for MAP-Inference with General Graphical Models.
In IEEE Trans. Patt. Anal. Mach. Intell., 38 (7): 1370-1382, 2016,
pdf
2015
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Kappes, J.H.; Petra, S.; Schnörr, C. and Zisler, M.
TomoGC: Binary Tomography by Constrained Graph Cuts..
In Proc. GCPR, 2015.
pdf
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Åström, F.; Felsberg, M. and Scharr, H.
Adaptive Sharpening of Multimodal Distributions.
In Colour and Visual Computing Symposium (CVCS), Gjovik, Norway,
2015.
doi
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Åström, F. and Schnörr, C.
On Coupled Regularization for Non-Convex Variational Image Enhancement.
In Asian Conference on Pattern Recognition (ACPR), Kuala Lumpur, Malaysia,
2015.
doi
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Silvestri, F.; Reinelt, G. and Schnörr, C.
A Convex Relaxation Approach to the Affine Subspace Clustering Problem.
In Proc. GCPR, 2015.
pdf
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Didden, E.-M.; Thorarinsdottir, T.L.; Lenkoski, A. and Schnörr, C.
Shape from Texture using Locally Scaled Point Processes.
In Image Anal. Stereol., 34 (3): 161-170, 2015.
pdf
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Biesdorf, A.; Wörz, S.; von Tengg-Kobligk, H.; Rohr, K. and Schnörr, C.
3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization.
In Proc. ISBI, 2015. ,
pdf
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Bodnariuc, E.; Gurung, A.; Petra, S. and Schnörr, C.
Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV.
In EMMCVPR,
Springer, 2015.
pdf
doi
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Gianniotis, N.; Schnörr, C.; Molkenthin, C. and Bora, S.S.
Approximate variational inference based on a finite sample of Gaussian latent variables.
In Patt. Anal. Appl., 2015.
pdf
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Berger, J.; Neufeld, A.; Becker, F.; Lenzen, F. and Schnörr, C.
Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations.
In Scale Space and Variational Methods in Computer Vision (SSVM 2015),
Springer, 2015.
doi
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Berger, J.; Lenzen, F.; Becker, F.; Neufeld, A. and Schnörr, C.
Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations,
2015.
arXiv
pdf
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Neufeld, A.; Berger, J.; Becker, F.; Lenzen, F. and Schnörr, C.
Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework.
In 38th German Conference on Pattern Recognition,
Springer, Aachen, 2016.
pdf
doi
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Kappes, J.H.; Andres, B.; Hamprecht, F.A.; Schnörr, C.; Nowozin, S.; Batra, D.; Kim, S.; Kausler, B.X.; Kröger, T.; Lellmann, J.; Komodakis, N.; Savchynskyy, B. and Rother, C.
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
In Int. J. Comp. Vision, 115 (2): 155-184, 2015.
pdf
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Kappes, J.; Swoboda, P.; Savchynskyy, B.; Hazan, T. and Schnörr, C.
Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts.
In Proc. SSVM, Springer, LNCS , 2015.
pdf
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Lenzen, F. and Berger, J.
Solution-Driven Adaptive Total Variation Regularization.
In 38th German Conference on Pattern Recognition,
Springer, 2015.
doi
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Rathke, F. and Schnörr, C.
A Computational Approach to Log-Concave Density Estimation.
In An. St. Univ. Ovidius Constanta, 23 (3): 151-166, 2015,
pdf
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Schmitzer, B. and Schnörr, C.
Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes.
In J. Math. Imag. Vision, 52 (3): 436-458, 2015,
pdf
2014
- Becker, F.; Petra, S. and Schnörr, C.
Optical Flow. In
Handbook of Mathematical Methods in Imaging, Springer, 2014. (in
press)
- Beier, T.; Kroeger, T.; Kappes, J. H.;
Koethe, U. and Hamprecht, F.
Cut, Glue & Cut: A Fast,
Approximate Solver for Multicut Partitioning.
In IEEE Conference on Computer Vision and Pattern
Recognition 2014, 2014. (Accepted
as Oral)
- Denictiu, A.; Petra, S.; Schnörr, C. and
Schnörr, C.
An Entropic Perturbation Approach to
TV-Minimization for Limited-Data Tomography.
In Discrete Geometry for Computer Imagery (DGCI)
2014, Springer, LNCS , 2014.
- Eigenstetter, A.; Takami, M. and Ommer, B.
Randomized Max-Margin Compositions for
Visual Recognition.
In IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2014.
- Kappes, J. H.; Beier, T. and Schnörr, C.
MAP-Inference
on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves.
In International Workshop on Graphical Models in
Computer Vision, 2014. pdf
- Kappes, J. H.; Andres, B.; Hamprecht, F.
A.; Schnörr, C.; Nowozin, S.; Batra, D.; Kim, S.; Kausler, B. X.;
Kröger, T.; Lellmann, J.; Komodakis, N.; Savchynskyy, B. and Rother, C.
A Comparative Study of Modern
Inference Techniques for Structured Discrete Energy Minimization
Problems.
In CoRR, abs/1404.0533, 2014. (urlhttp://hci.iwr.uni-heidelberg.de/opengm2/)
- Kroeger, T.; Kappes, J. H.; Beier, T.;
Koethe, K. and Hamprecht, F. A.
Asymmetric Cuts: Joint Image Labeling
and Partitioning.
In 36th German Conference on Pattern Recognition,
2014.
- Màté, G. and Heermann, D. W.
Persistence Intervals of Fractals.
In Physica A, in press, 2014.
- Màté, G.; Hofmann, A.; Wenzel, N. and
Heermann, D. W.
A Topological Similarity Measure for
Proteins.
In Biochimica et Biophysica Acta (BBA) - Biomembranes,
1838 (4): 1180-1190, 2014. doi
- Petra, S. and Schnörr, C.
Average Case Recovery Analysis of
Tomographic Compressive Sensing.
In Linear Algebra and its Applications,
441: 168-198, 2014. (Special issue on
Sparse Approximate Solution of Linear Systems)
- Rathke, F.; Schmidt, S. and Schnörr, C.
Probabilistic Intra-Retinal Layer
Segmentation in 3-D~OCT Images Using Global Shape Regularization.
In Medical Image Analysis, 18 (5): 781-794,
2014.
- Savchynskyy, B. and Schmidt, S.
Getting Feasible Variable Estimates
From Infeasible Ones: MRF Local Polytope Study.
In Advanced Structured Prediction, MIT Press, 2014.
- Schmitzer, B. and Schnörr, C. Globally
Optimal Joint Image Segmentation and Shape Matching based on
Wasserstein Modes. Preprint. pdf
- Swoboda, P.; Savchynskyy, B.; Kappes, J. H.
and Schnörr, C.
Partial Optimality by Pruning for
MAP-inference with General Graphical Models.
In IEEE Conference on Computer Vision and Pattern
Recognition 2014, 2014. (Oral - Best student Paper Award)
2013
- Antic, B.; Milbich, T. and Ommer, B.
Less is More: Video Trimming for
Action Recognition.
In Proceedings of the International Conference on
Computer Vision (ICCV-HACI), 2013.
- Bachl, F. E.; Fieguth, P. and Garbe, C. S.
Bayesian Inference on Integrated
Continuity Fluid Flows and their Application to Dust Aerosols.
In Proceedings of the International Geoscience and
Remote Sensing Symposium 2013, pages 2246-2249, 2013.
- Bachl, F. E.; Lenkoski, A. and
Thorarinsdottir, Thordis.~Land G. Christoph.~S.
Bayesian Motion Estimation for Dust
Aerosols.
In ArXiv e-prints, 2013.
- Becker, F.; Lenzen, F.; Kappes, J. H. and
Schnörr, C.
Variational Recursive Joint Estimation
of Dense Scene Structure and Camera Motion from Monocular High Speed
Traffic Sequences.
In International
Journal of Computer Vision, 105: 269-297, 2013. doi
- Bendel, V.; Ueltzhöffer, K.J.; Freitag, J.;
Kipfstuhl, S.; Kuhs, W.F.; Garbe, C.~S. and Faria, S.H.
High-resolution variations in size,
number, and arrangement of air bubbles in the EPICA DML ice core.
In Journal
of Glaciology, 59: 972-980, 2013.
- Binder, T.; Garbe, C.~S.; Wagenbach, D.;
Freitag, J. and Kipfstuhl, S.
Extraction and parameterization of
grain boundary networks, using a dedicated method of automatic image
analysis.
In Journal of Microscopy, 250: 130-141, 2013.
- Binder, T.; Weikusat, I.; Freitag, J.;
Garbe, C.~S.; Wagenbach, D. and Kipfstuhl, S.
Microstructure through an ice sheet.
In Materials Science Forum, 753: 481-484, 2013.
- Bonato, T.; Jünger, M.; Reinelt, G. and
Rinaldi, G.
Lifting and separation procedures for
the cut polytope.
In Mathematical Programming, 2013. (DOI: 10.1007/s10107-013-0688-2)
- Bruno, F.; Cocchi, D.; Greco, F. and
Scardovi, E.
Spatial reconstruction of rainfall
fields from rain gauge and radar data.
In Stoch
Environ Res Risk Assess, 2013.
- Buttgereit, A.; Weber, C.; Garbe, C.~S. and
Friedrich, O.
From chaos to split ups - SHG
microscopy reveals a specific remodeling mechanism in aging dystrophic
muscle.
In Journal of Pathology, 229: 477-485, 2013.
- Dahlhaus, R. and Neddermeyer, J. C.
Online Spot Volatility-Estimation and
Decomposition with Nonlinear Market Microstructure Noise Models.
In Journal
of Financial Econometrics, 2013.
- Denictiu, A.; Petra, S.; Schnörr, C. and
Schnörr, C.
Phase Transitions and Cosparse
Tomographic Recovery of Compound Solid Bodies From Few Projections.
.
- Didden, E.-M.; Thorarinsdottir, T. L.;
Lenkoski, A. and Schnörr, C.
Shape from Texture using Locally
Scaled Point Processes.
In ArXiv e-prints, abs/1311.7041, 2013.
- Diego, F. and Hamprecht, F. A.
Learning Multi-Level Sparse
Representation.
In NIPS. Proceedings, 2013. (in press)
- Diego, F. and Hamprecht, F. A.
Learning Multi-Level Sparse
Representation for Identifying Neuronal Activity.
In Signal Processing with Adaptive Sparse
Structured Representations workshop (SPARS). Book of Abstracts.,
2013.
- Dueck, J.; Edelmann, D.; Gneiting, T. and
Richards, D.
The
Affinely Invariant Distance Correlation.
In Bernoulli, in press, 2013. pdf
- Edelmann, D. and Wichelhaus, C.
Nonparametric Inference for Queueing
Networks of $Geom^X/G/infty$-Queues in Discrete Time.
In Advances in Applied Probability, in press,
2013.
- Feinauer, C. J.; Hofmann, A.; Goldt, S.;
Liu, L.; Màté, G. and Heermann, D. W.
Chapter Three - Zinc Finger Proteins
and the 3D Organization of Chromosomes.
In Organisation of Chromosomes, pages 67-117, Academic Press, Advances in Protein
Chemistry and Structural Biology 90, 2013.
- Fiedler, J.
From Fourier to
Gegenbauer: Dimension walks on spheres.
In ArXiv e-prints: 1-12, 2013. pdf
- Garbe, C.~S. and Ommer, B.
Parameter Estimation in Image
Processing and Computer Vision.
In Model
Based Parameter Estimation: Theory and Applications, pages
311-334, Springer-Verlag,
Contributions 311 in Mathematical and Computational Sciences , 2013.
- Gneiting, T.
Strictly and non-strictly positive
definite functions on spheres.
In Bernoulli (in press), 2013.
- Kappes, J. H.; Andres, B.; Hamprecht, F.
A.; Schnörr, C.; Nowozin, S.; Batra, D.; Kim, S.; Kausler, B. X.;
Lellmann, J.; Komodakis, N. and Rother, C.
A
Comparative Study of Modern Inference Techniques for Discrete Energy
Minimization Problems.
In CVPR, 2013. pdf
- Kappes, J. H.; Speth, M.; Reinelt, G. and
Schnörr, C.
Higher-order Segmentation via
Multicuts.
In ArXiv e-prints, 2013.
pdf (http://arxiv.org/abs/1305.6387)
- Kappes, J. H.; Speth, M.; Reinelt, G. and
Schnörr, C.
Towards
Efficient and Exact MAP-Inference for Large Scale Discrete Computer
Vision Problems via Combinatorial Optimization.
In CVPR, 2013. pdf
- Kroeger, T.; Mikula, S.; Denk, W.; Koethe,
U. and Hamprecht, F. A.
Learning to Segment Neurons with
non-local Quality Measures.
In MICCAI, 2013.
- Kröger, T.; Mikula, S.; Denk, W.; Köthe, U.
and Hamprecht, F. A.
Learning to Segment Neurons with
Non-local Quality Measures.
In MICCAI 2013. Proceedings, in press, 2013.
- Lefloch, D.; Nair, R.; Lenzen, F.; Schäfer,
H.; Streeter, L.; Cree, M. J.; Koch, R. and Kolb, A.
Technical Foundation and Calibration
Methods for Time-of-Flight Cameras.
In Time-of-Flight and Depth Imaging: Sensors,
Algorithms, and Applications, pages 3-24, Springer, Lecture Notes in Computer Science
8200, 2013.
- Lellmann, J.; Lellmann, B.; Widmann, F. and
Schnörr, C.
Discrete and
Continuous Models for Partitioning Problems.
In Int.~J.~Comp.~Vision, 2013. pdf (in
press)
- Lellmann, J.; Lenzen, F. and Schnörr, C.
Optimality Bounds for a
Variational Relaxation of the Image Partitioning Problem.
In Journal
of Mathematical Imaging and Vision: 1-19, 2013. pdf
- Lenkoski, A.
A Direct Sampler for G-Wishart Variates.
In Stat, 2: 119-128, 2013.
- Lenkoski, A.; Eicher, T.~S. and Raftery,
A.~E.
Two-stage Bayesian Model Averaging and
the Endogenous Variable Model.
In Accepted, Econometric Reviews, 2013.
- Lenzen, F.; Becker, F. and Lellmann, J.
Adaptive
Second-Order Total Variation: An Approach Aware of Slope Discontinuities.
In Proceedings of the 4th International Conference
on Scale Space and Variational Methods in Computer Vision (SSVM) 2013,
Springer, LNCS , 2013. pdf
- Lenzen, F.; Becker, F.; Lellmann, J.;
Petra, S. and Schnörr, C.
A
Class of Quasi-Variational Inequalities for Adaptive Image Denoising
and Decomposition.
In Comput.
Optim. Appl., 54 (2): 371-398, 2013. pdf
- Lenzen, F.; Kim, K.I.; Nair, R.; Meister,
S.; Schäfer, H.; Becker, F.; Garbe, C.~S. and Theobalt, C.
Denoising Strategies for
Time-of-Flight Data.
In Time-of-Flight Imaging: Algorithms, Sensors and
Applications, Springer-Verlag,
LNCS , 2013. (accepted)
- Lenzen, F.; Kim, K. In; Schäfer, H.; Nair,
R.; Meister, S.; Becker, F.; Garbe, C. S and Theobalt, C.
Denoising Strategies for
Time-of-Flight Data.
In Time-of-Flight and Depth Imaging: Sensors,
Algorithms, and Applications, pages 25-45, Springer, Lecture Notes in Computer Science
8200, 2013.
- Möller, A.; Lenkoski, A. and
Thorarinsdottir, T.~L.
Multivariate probabilistic forecasting
using Bayesian model averaging and copulas.
In Quarterly Journal of the Royal Meteorological
Society, 139 (673): 982-991, 2013.
- Màté, G.; Hofmann, A.; Wenzel, N. and
Heermann, D. W.
A topological similarity measure for
proteins.
In Biochimica et Biophysica Acta (BBA) - Biomembranes,
2013. doi
- Nair, R.; Ruhl, K.; Lenzen, F.; Meister,
S.; Schäfer, H.; Garbe, C.~S.; Eisemann, M. and Kondermann, D.
A Survey on Time-of-Flight Stereo
Fusion.
In Time-of-Flight Imaging: Algorithms, Sensors and
Applications, Springer-Verlag,
LNCS , 2013. (accepted)
- Nair, R.; Ruhl, K.; Lenzen, F.; Meister,
S.; Schäfer, H.; Garbe, C. S; Eisemann, M.; Magnor, M. and Kondermann,
D.
A Survey on Time-of-Flight Stereo
Fusion.
In Time-of-Flight and Depth Imaging: Sensors,
Algorithms, and Applications, pages 105-127, Springer, Lecture Notes in Computer Science
8200, 2013.
- Petra, S.; Schnörr, C. and Schröder, A.
Critical
Parameter Values and Reconstruction Propertiesof Discrete Tomography:
Application to Experimental FluidDynamics.
In Fundamenta Informaticae, 125: 285-312,
2013. pdf
- Petra, S.; Schnörr, C.; Becker, F. and
Lenzen, F.
B-SMART: Bregman-Based First-Order
Algorithms for Non-Negative Compressed Sensing Problems.
In SSVM, pages 110-124, Springer, LNCS 7893, 2013.
- Savchynskyy, B.; Kappes, J. H.; Swoboda, P.
and Schnörr, C.
Global MAP-Optimality by Shrinking the
Combinatorial Search Area with Convex Relaxation.
In NIPS, 2013. (Accepted)
- Savchynskyy, B. and Schmidt, S.
Getting Feasible Variable Estimates
From Infeasible Ones: MRF Local Polytope Study.
In Workshop on Inference for Probabilistic
Graphical Models at ICCV 2013, 2013.
- Scheuerer, M.
Probabilistic Quantitative
Precipitation Forecasting Using Ensemble Model Output Statistics.
In Quart. J. Roy. Meteor. Soc., 2013. (to appear)
- Scheuerer, M. and König, G.
Gridded locally calibrated,
probabilistic temperature forecasts based on ensemble model output
statistics.
In Quarterly Journal of the Royal Meteorological Society:
n/a-n/a, 2013.
- Schiegg, M.; Hanslovsky, P.; Kausler, B.
X.; Hufnagel, L. and Hamprecht, F. A.
Conservation Tracking.
In ICCV 2013. Proceedings, in press, 2013.
- Schmitzer, B. and Schnörr, C.
Object
Segmentation by Shape Matching with Wasserstein Modes.
In Energy Minimization Methods in Computer Vision
and Pattern Recognition (EMMCVPR 2013), pages 123-136, 2013. pdf
- Schmitzer, B. and Schnörr, C.
Modelling
convex shape priors and matching based on the Gromov-Wasserstein
distance.
In Journal
of Mathematical Imaging and Vision, 46 (1): 143-159, 2013. pdf
- Schmitzer, B. and Schnörr, C.
Contour
Manifolds and Optimal Transport.
, preprint. pdf (preprint)
- Schmitzer, B. and Schnörr, C.
A
Hierarchical Approach to Optimal Transport.
In Scale Space and Variational Methods (SSVM 2013),
pages 452-464, 2013. pdf
- Schnieders, J.; Garbe, C.~S.; Peirson,
W.L.; Smith, G.B. and Zappa, C.J.
Analyzing the footprints of near
surface aqueous turbulence - an image processing based approach.
In Journal of Geophysical Research, 118:
1272-1286, 2013.
- Schäfer, H.; Lenzen, F. and Garbe, C. S.
Depth and Intensity based Edge
Detection in Time-of-Flight Images.
In 3DTV-Conference, 2013 International Conference on,
pages 111-118, 2013.
- Swoboda, P.; Savchynskyy, B.; Kappes, J. H.
and Schnörr, C.
Partial
Optimality via Iterative Pruning for the Potts Model.
In SSVM, 2013. pdf
- Swoboda, P. and Schnörr, C.
Variational Image Segmentation and
Cosegmentation with the Wasserstein Distance.
In EMMCVPR, Springer,
2013.
- Tek, B. F.; Kroeger, T.; Mikula, S. and
Hamprecht, F. A.
Automated Cell Nucleus Detection for
Large-Volume Electron Microscopy of Neural Tissue.
, 2013.
- Tsai, W.-T.; Chen, S.-m.; Lu, G.-h. and
Garbe, C.~S.
Characteristics of interfacial
signatures on a wind-driven gravity-capillary wave.
In Journal of Geophysical Research, 118:
1715–1735, 2013.
2012
- Andres, B.; Beier, T. and Kappes, J. H.
OpenGM: A C++ Library for Discrete
Graphical Models.
In ArXiv e-prints, 2012.
- Andres, B.; Köthe, U.; Kröger, T.;
Helmstaedter, M.; Briggman, K.L.; Denk, W. and Hamprecht, F. A.
3D Segmentation of SBFSEM Images of
Neuropil by a Graphical Model over Supervoxel Boundaries.
In Medical
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