SSVM

Publications

2023

Noémie Debroux, Carole Le Guyader
Asymptotic Result for a Decoupled Nonlinear Elasticity-Based Multiscale Registration Model. SSVM (2023)
Robert Beinert, Saghar Rezaei
Prony-Based Super-Resolution Phase Retrieval of Sparse, Multidimensional Signals. SSVM (2023)
Bastien Laville, Laure Blanc-Féraud, Gilles Aubert
Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse Problems. SSVM (2023)
Raphaël Achddou, Yann Gousseau, Saïd Ladjal
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. SSVM (2023)
Bastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr
Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment. SSVM (2023)
Lea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock
Learned Discretization Schemes for the Second-Order Total Generalized Variation. SSVM (2023)
Karol Mikula, Michal Kollár, Aneta A. Ozvat, Mária Sibíková, Lucia Cahojová
Natural Numerical Networks on Directed Graphs in Satellite Image Classification. SSVM (2023)
Florian Beier
Gromov-Wasserstein Transfer Operators. SSVM (2023)
Shida Wang, Jalal Fadili, Peter Ochs
A Quasi-Newton Primal-Dual Algorithm with Line Search. SSVM (2023)
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM (2023)
David Bensaïd, Amit Bracha, Ron Kimmel
Partial Shape Similarity by Multi-metric Hamiltonian Spectra Matching. SSVM (2023)
Mara Guastini, Marko Rajkovic, Martin Rumpf, Benedikt Wirth
The Variational Approach to the Flow of Sobolev-Diffeomorphisms Model. SSVM (2023)
Nathan Buskulic, Yvain Quéau, Jalal Fadili
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior. SSVM (2023)
Davide Bianchi, Marco Donatelli, Davide Evangelista, Wenbin Li, Elena Loli Piccolomini
Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. SSVM (2023)
Michael Quellmalz, Lukas Weissinger, Simon Hubmer, Paul D. Erchinger
A Frame Decomposition of the Funk-Radon Transform. SSVM (2023)
Pierrick Chatillon, Yann Gousseau, Sidonie Lefebvre
A Geometrically Aware Auto-Encoder for Multi-texture Synthesis. SSVM (2023)
Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM (2023)
Johannes Hertrich
Proximal Residual Flows for Bayesian Inverse Problems. SSVM (2023)
Kristina Schaefer, Joachim Weickert
Diffusion-Shock Inpainting. SSVM (2023)
Julie Delon, Agnès Desolneux, Laurent Facq, Arthur Leclaire
Optimal Transport Between GMM for Multiscale Texture Synthesis. SSVM (2023)
Hui Shi, Yann Traonmilin, Jean-François Aujol
Compressive Learning of Deep Regularization for Denoising. SSVM (2023)
Eyal Gofer, Guy Gilboa
Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators. SSVM (2023)
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. SSVM (2023)
Valentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo
GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials. SSVM (2023)
Mahipal Jetta, Utkarsh Singh, Padmaja Yinukula
On Trainable Multiplicative Noise Removal Models. SSVM (2023)
Jonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. SSVM (2023)
Lilian Calvet, Nicolas Maignan, Baptiste Brument, Jean Mélou, Silvia Tozza, Jean-Denis Durou, Yvain Quéau
Multi-view Normal Estimation - Application to Slanted Plane-Sweeping. SSVM (2023)
Max Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler
On the Remarkable Efficiency of SMART. SSVM (2023)
Samira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger
Resolution-Invariant Image Classification Based on Fourier Neural Operators. SSVM (2023)
Théo Bertrand, Nicolas Makaroff, Laurent D. Cohen
Fast Marching Energy CNN. SSVM (2023)
Pascal Peter
Generalised Scale-Space Properties for Probabilistic Diffusion Models. SSVM (2023)
Johannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl
Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line. SSVM (2023)
Ariane Fazeny, Daniel Tenbrinck, Martin Burger
Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks. SSVM (2023)
Roy Velich, Ron Kimmel
Learning Differential Invariants of Planar Curves. SSVM (2023)
Gaetano Agazzotti, Fabien Pierre, Frédéric Sur
Deep Image Prior Regularized by Coupled Total Variation for Image Colorization. SSVM (2023)
Danielle Bednarski, Jan Lellmann
EmNeF: Neural Fields for Embedded Variational Problems in Imaging. SSVM (2023)
Guangyu Cui, Ho Law, Sung Ha Kang
Surface Reconstruction from Noisy Point Cloud Using Directional G-norm. SSVM (2023)
Or Streicher, Guy Gilboa
Graph Laplacian for Semi-supervised Learning. SSVM (2023)
Francesca Bevilacqua, Yiqiu Dong, Jakob Sauer Jørgensen
Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed Tomography. SSVM (2023)
John M. Ball, Christopher L. Horner
Image Comparison and Scaling via Nonlinear Elasticity. SSVM (2023)
Martin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle
Explicit Diffusion of Gaussian Mixture Model Based Image Priors. SSVM (2023)
Gijs Bellaard, Gautam Pai, Javier Oliván Bescós, Remco Duits
Geometric Adaptations of PDE-G-CNNs. SSVM (2023)
Saar Huberman, Amit Bracha, Ron Kimmel
Deep Accurate Solver for the Geodesic Problem. SSVM (2023)
Kouki Tosaka, Atsushi Imiya
α-Pixels for Hierarchical Analysis of Digital Objects. SSVM (2023)
Francesco Colibazzi, Damiana Lazzaro, Serena Morigi, Andrea Samore
Limited Electrodes Models in Electrical Impedance Tomography Reconstruction. SSVM (2023)
Alessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach. SSVM (2023)
Zoé Lambert, Carole Le Guyader, Caroline Petitjean
On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. SSVM (2023)
Abdullah Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman
Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data. SSVM (2023)
Nick J. van de Berg, Shuhe Zhang, Bart M. N. Smets, Tos T. J. M. Berendschot, Remco Duits
Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2). SSVM (2023)

volume 14009, 2023

Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings SSVM 14009 (2023)