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Publication search results
found 46 matches
- 2021
- Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. SSVM 2021: 333-345 - Hari Om Aggrawal, Jan Modersitzki:
Hessian Initialization Strategies for ℓ-BFGS Solving Non-linear Inverse Problems. SSVM 2021: 216-228 - Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM 2021: 294-306 - Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann:
Inpainting-Based Video Compression in FullHD. SSVM 2021: 425-436 - Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl:
Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. SSVM 2021: 528-539 - Mazlum Ferhat Arslan, Sibel Tari:
Local Culprits of Shape Complexity. SSVM 2021: 91-99 - Amitoz Azad, Julien Rabin, Abderrahim Elmoataz:
Variational Models for Signal Processing with Graph Neural Networks. SSVM 2021: 320-332 - Danielle Bednarski, Jan Lellmann:
Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting. SSVM 2021: 229-241 - Robert Beinert, Marzieh Hasannasab:
Phase Retrieval via Polarization in Dynamical Sampling. SSVM 2021: 516-527 - Kireeti Bodduna, Joachim Weickert, Marcelo Cárdenas:
Multi-frame Super-Resolution from Noisy Data. SSVM 2021: 565-577 - Bastian Boll, Jonathan Schwarz, Christoph Schnörr:
On the Correspondence Between Replicator Dynamics and Assignment Flows. SSVM 2021: 373-384 - Jonathan Brokman, Guy Gilboa:
Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows. SSVM 2021: 40-51 - Leon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck:
CLIP: Cheap Lipschitz Training of Neural Networks. SSVM 2021: 307-319 - Liam Burrows, Ke Chen, Francesco Torella:
A Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration. SSVM 2021: 411-422 - Yohann de Castro, Vincent Duval, Romain Petit:
Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems. SSVM 2021: 553-564 - Ido Cohen, Tom Berkov, Guy Gilboa:
Total-Variation Mode Decomposition. SSVM 2021: 52-64 - Sune Darkner, José D. Tascón-Vidarte, François Lauze:
First Order Locally Orderless Registration. SSVM 2021: 177-188 - Noémie Debroux, Carole Le Guyader, Luminita A. Vese:
Multiscale Registration. SSVM 2021: 115-127 - El Hadji S. Diop, Alioune Mbengue, Bakary Manga, Diaraf Seck:
Extension of Mathematical Morphology in Riemannian Spaces. SSVM 2021: 100-111 - Remco Duits, Bart M. N. Smets, Erik J. Bekkers, Jim Portegies:
Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations. SSVM 2021: 27-39 - Changqing Fu, Laurent D. Cohen:
Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation. SSVM 2021: 346-357 - Eric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt:
Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI. SSVM 2021: 254-266 - Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
Wasserstein Generative Models for Patch-Based Texture Synthesis. SSVM 2021: 269-280 - Martin Huska, Serena Morigi, Giuseppe Antonio Recupero:
Sparsity-Aided Variational Mesh Restoration. SSVM 2021: 437-449 - Ikram Jumakulyyev, Thomas Schultz:
Lossless PDE-based Compression of 3D Medical Images. SSVM 2021: 450-462 - Jorge Justiniano, Marko Rajkovic, Martin Rumpf:
Splines for Image Metamorphosis. SSVM 2021: 463-475 - Marvin Kahra, Vivek Sridhar, Michael Breuß:
Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier Transform. SSVM 2021: 65-77 - Alexander Köhler, Michael Breuß:
Towards Efficient Time Stepping for Numerical Shape Correspondence. SSVM 2021: 165-176 - Marta Lazzaretti, Simone Rebegoldi, Luca Calatroni, Claudio Estatico:
A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems. SSVM 2021: 242-253 - Tony Lindeberg:
Scale-Covariant and Scale-Invariant Gaussian Derivative Networks. SSVM 2021: 3-14
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