default search action
7th SSVM 2019: Hofgeismar, Germany
- Jan Lellmann, Martin Burger, Jan Modersitzki:
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings. Lecture Notes in Computer Science 11603, Springer 2019, ISBN 978-3-030-22367-0
3D Vision and Feature Analysis
- Matthew Adams
:
The Fractional Harris-Laplace Feature Detector. 3-12 - Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Macrocanonical Models for Texture Synthesis. 13-24 - Shay Deutsch, Iacopo Masi, Stefano Soatto:
Finding Structure in Point Cloud Data with the Robust Isoperimetric Loss. 25-37 - Moshe Lichtenstein, Gautam Pai, Ron Kimmel:
Deep Eikonal Solvers. 38-50 - Jean Mélou, Yvain Quéau, Fabien Castan, Jean-Denis Durou:
A Splitting-Based Algorithm for Multi-view Stereopsis of Textureless Objects. 51-63
Inpainting, Interpolation and Compression
- Matthias Augustin, Joachim Weickert, Sarah Andris:
Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation. 67-78 - Laurent Hoeltgen, Michael Breuß, Georg Radow:
Towards PDE-Based Video Compression with Optimal Masks and Optic Flow. 79-91 - Pascal Peter, Jan Contelly, Joachim Weickert:
Compressing Audio Signals with Inpainting-Based Sparsification. 92-103 - Arthur Renaudeau, François Lauze, Fabien Pierre, Jean-François Aujol, Jean-Denis Durou:
Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. 104-116
Inverse Problems in Imaging
- Julianne Chung, Matthias Chung
Iterative Sampled Methods for Massive and Separable Nonlinear Inverse Problems. 119-130 - Charles-Alban Deledalle
Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties. 131-143 - Limei Huo, Shousheng Luo, Yiqiu Dong
An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data. 144-155 - Nicolai André Brogaard Riis
A New Iterative Method for CT Reconstruction with Uncertain View Angles. 156-167
Optimization Methods in Imaging
- Alexander Effland
Time Discrete Geodesics in Deep Feature Spaces for Image Morphing. 171-182 - Johannes Hertrich
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. 183-195
PDEs and Level-Set Methods
- Martin Welk
The Convex-Hull-Stripping Median Approximates Affine Curvature Motion. 199-210 - Remco Duits, Etienne St-Onge, Jim Portegies, Bart M. N. Smets:
Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations. 211-223 - Lingfeng Li, Shousheng Luo, Xue-Cheng Tai
A Variational Convex Hull Algorithm. 224-235 - Martin Welk
PDE Evolutions for M-Smoothers: From Common Myths to Robust Numerics. 236-248
Registration and Reconstruction
- Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki:
Variational Registration of Multiple Images with the SVD Based \mathrm Sq\mathrm N Distance Measure. 251-262 - Veronica Corona, Angelica I. Avilés-Rivero, Noémie Debroux, Martin J. Graves
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration. 263-274 - Kento Hosoya, Atsushi Imiya:
Variational Image Registration for Inhomogeneous-Resolution Pairs. 275-287
Scale-Space Methods
- Leon Bungert
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. 291-302 - Marcelo Cárdenas, Pascal Peter, Joachim Weickert:
Sparsification Scale-Spaces. 303-314 - Ido Cohen
Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis. 315-327 - Tony Lindeberg
Provably Scale-Covariant Networks from Oriented Quasi Quadrature Measures in Cascade. 328-340 - Arthur Leclaire, Julien Rabin:
A Fast Multi-layer Approximation to Semi-discrete Optimal Transport. 341-353
Segmentation and Labeling
- Vedrana Andersen Dahl
Global Similarity with Additive Smoothness for Spectral Segmentation. 357-368 - Jacob Daniel Kirstejn Hansen, François Lauze:
Segmentation of 2D and 3D Objects with Intrinsically Similarity Invariant Shape Regularisers. 369-380 - Yuchen He
Lattice Metric Space Application to Grain Defect Detection. 381-392 - Ruben Hühnerbein, Fabrizio Savarino, Stefania Petra, Christoph Schnörr:
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. 393-405 - Lukas Kiefer, Stefania Petra, Martin Storath
Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization. 406-418 - József Molnár, Ervin Tasnádi, Péter Horváth:
A Balanced Phase Field Model for Active Contours. 419-431 - Matthias Zisler, Artjom Zern, Stefania Petra, Christoph Schnörr:
Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment. 432-444
Variational Methods
- Luis Álvarez
Aorta Centerline Smoothing and Registration Using Variational Models. 447-458 - Thomas Batard
A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception. 459-471 - Marcelo Bertalmío
A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations. 472-484 - Martin Burger, Yury Korolev
A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions. 485-497 - Raymond H. Chan, Damiana Lazzaro
A Non-convex Nonseparable Approach to Single-Molecule Localization Microscopy. 498-509 - Clemens Kirisits, Otmar Scherzer
Preservation of Piecewise Constancy under TV Regularization with Rectilinear Anisotropy. 510-521 - Simone Parisotto
Total Directional Variation for Video Denoising. 522-534 - Thomas Mouzon, Fabien Pierre, Marie-Odile Berger:
Joint CNN and Variational Model for Fully-Automatic Image Colorization. 535-546 - Fabrizio Savarino
A Variational Perspective on the Assignment Flow. 547-558 - Thomas Vogt
Functional Liftings of Vectorial Variational Problems with Laplacian Regularization. 559-571
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-31 20:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: