Abstract is missing.
- Scale-Covariant and Scale-Invariant Gaussian Derivative NetworksTony Lindeberg. 3-14 [doi]
- Quantisation Scale-SpacesPascal Peter. 15-26 [doi]
- Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and OrientationsRemco Duits, Bart M. N. Smets, Erik J. Bekkers, Jim Portegies. 27-39 [doi]
- Nonlinear Spectral Processing of Shapes via Zero-Homogeneous FlowsJonathan Brokman, Guy Gilboa. 40-51 [doi]
- Total-Variation Mode DecompositionIdo Cohen, Tom Berkov, Guy Gilboa. 52-64 [doi]
- Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier TransformMarvin Kahra, Vivek Sridhar, Michael Breuß. 65-77 [doi]
- Diffusion, Pre-smoothing and Gradient DescentMartin Welk. 78-90 [doi]
- Local Culprits of Shape ComplexityMazlum Ferhat Arslan, Sibel Tari. 91-99 [doi]
- Extension of Mathematical Morphology in Riemannian SpacesEl Hadji S. Diop, Alioune Mbengue, Bakary Manga, Diaraf Seck. 100-111 [doi]
- Multiscale RegistrationNoémie Debroux, Carole Le Guyader, Luminita A. Vese. 115-127 [doi]
- Challenges for Optical Flow Estimates in ElastographyEkaterina Sherina, Lisa Krainz, Simon Hubmer, Wolfgang Drexler, Otmar Scherzer. 128-139 [doi]
- An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive RegularisationLukas Mehl, Cedric Beschle, Andrea Barth, Andrés Bruhn. 140-152 [doi]
- Low-Rank Registration of Images Captured Under Unknown, Varying LightingMatthieu Pizenberg, Yvain Quéau, Abderrahim Elmoataz. 153-164 [doi]
- Towards Efficient Time Stepping for Numerical Shape CorrespondenceAlexander Köhler, Michael Breuß. 165-176 [doi]
- First Order Locally Orderless RegistrationSune Darkner, José D. T. Vidarte, François Lauze. 177-188 [doi]
- First-Order Geometric Multilevel Optimization for Discrete TomographyJan Plier, Fabrizio Savarino, Michal Kocvara, Stefania Petra. 191-203 [doi]
- Bregman Proximal Gradient Algorithms for Deep Matrix FactorizationMahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers, Peter Ochs. 204-215 [doi]
- Hessian Initialization Strategies for ℓ-BFGS Solving Non-linear Inverse ProblemsHari Om Aggrawal, Jan Modersitzki. 216-228 [doi]
- Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional LiftingDanielle Bednarski, Jan Lellmann. 229-241 [doi]
- A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution ProblemsMarta Lazzaretti, Simone Rebegoldi, Luca Calatroni, Claudio Estatico. 242-253 [doi]
- Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRIEric B. Gutiérrez, Claire Delplancke, Matthias J. Ehrhardt. 254-266 [doi]
- Wasserstein Generative Models for Patch-Based Texture SynthesisAntoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin. 269-280 [doi]
- Sketched Learning for Image DenoisingHui Shi, Yann Traonmilin, Jean-François Aujol. 281-293 [doi]
- Translating Numerical Concepts for PDEs into Neural ArchitecturesTobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader. 294-306 [doi]
- CLIP: Cheap Lipschitz Training of Neural NetworksLeon Bungert, René Raab, Tim Roith, Leo Schwinn, Daniel Tenbrinck. 307-319 [doi]
- Variational Models for Signal Processing with Graph Neural NetworksAmitoz Azad, Julien Rabin, Abderrahim Elmoataz. 320-332 [doi]
- Synthetic Images as a Regularity Prior for Image Restoration Neural NetworksRaphaël Achddou, Yann Gousseau, Saïd Ladjal. 333-345 [doi]
- Geometric Deformation on Objects: Unsupervised Image Manipulation via ConjugationChangqing Fu, Laurent D. Cohen. 346-357 [doi]
- Learning Local Regularization for Variational Image RestorationJean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis. 358-370 [doi]
- On the Correspondence Between Replicator Dynamics and Assignment FlowsBastian Boll, Jonathan Schwarz, Christoph Schnörr. 373-384 [doi]
- Learning Linear Assignment Flows for Image Labeling via Exponential IntegrationAlexander Zeilmann, Stefania Petra, Christoph Schnörr. 385-397 [doi]
- On the Geometric Mechanics of Assignment Flows for Metric Data LabelingFabrizio Savarino, Peter Albers, Christoph Schnörr. 398-410 [doi]
- A Deep Image Prior Learning Algorithm for Joint Selective Segmentation and RegistrationLiam Burrows, Ke Chen 0002, Francesco Torella. 411-422 [doi]
- Inpainting-Based Video Compression in FullHDSarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann 0001. 425-436 [doi]
- Sparsity-Aided Variational Mesh RestorationMartin Huska, Serena Morigi, Giuseppe Antonio Recupero. 437-449 [doi]
- Lossless PDE-based Compression of 3D Medical ImagesIkram Jumakulyyev, Thomas Schultz 0001. 450-462 [doi]
- Splines for Image MetamorphosisJorge Justiniano, Marko Rajkovic, Martin Rumpf. 463-475 [doi]
- 2 Image Super-Resolution ProblemsMonica Pragliola, Luca Calatroni, Alessandro Lanza, Fiorella Sgallari. 476-488 [doi]
- Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron MicroscopyThomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels, Alexander Effland. 491-502 [doi]
- GMM Based Simultaneous Reconstruction and Segmentation in X-Ray CT ApplicationShi Yan, Yiqiu Dong. 503-515 [doi]
- Phase Retrieval via Polarization in Dynamical SamplingRobert Beinert, Marzieh Hasannasab. 516-527 [doi]
- Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray FluorescenceAnna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl. 528-539 [doi]
- Adversarially Learned Iterative Reconstruction for Imaging Inverse ProblemsSubhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb. 540-552 [doi]
- Towards Off-the-grid Algorithms for Total Variation Regularized Inverse ProblemsYohann de Castro, Vincent Duval, Romain Petit. 553-564 [doi]
- Multi-frame Super-Resolution from Noisy DataKireeti Bodduna, Joachim Weickert, Marcelo Cárdenas. 565-577 [doi]