(Proceedings are available here)
Monday 17 May
(8:30) Opening
(9:00) Plenary I: Carola-Bibiane Schönlieb
Title: Machine Learned Regularisation for Inverse Imaging Problems
Video (partial): here
Abstract here
Chairman : Jalal Fadili
(10:00-10:30) Break
(10:30) Oral Session 1: Scale Space and Partial Differential Equations Methods
Chairman : Martin Burger
- (10:30) Scale-covariant and Scale-invariant Gaussian Derivative Networks - video
Tony Lindeberg
- (11:00) Splines for Image Metamorphosis - video
Jorge Justiniano, Marko Rajković and Martin Rumpf
- (11:30) Inverse Scale Space Iterations for Non-Convex Variational Problems - video
Danielle Bednarski and Jan Lellmann
(12:00-14:00) Lunch Break
(14:00) Poster Session 1: Scale Space, PDEs, Optimization and Inverse Problems in Imaging
(2 minutes per poster flash presentations, followed by individual Poster Presentation in dedicated breakrooms)
- 1 - Quantisation Scale-Spaces
Pascal Peter
- 2 - Nonlinear Spectral Processing of Shapes via Zero-homogeneous Flows
Jonathan Brokman and Guy Gilboa
- 3 - Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier Transform
Marvin Kahra, Vivek Sridhar and Michael Breuß
- 4 - Local Culprits of Shape Complexity
Mazlum Ferhat Arslan and Sibel Tari
- 5 - Extension of Mathematical Morphology in Riemannian Spaces
El Hadji S Diop, Alioune Mbengue, Bakary Manga and Diaraf Seck
- 6 - Phase Retrieval via Polarization in Dynamical Sampling
Robert Beinert and Marzieh Hasannasab
- 7 - Hessian Initialization Strategies for L-BFGS Solving Non-linear Inverse Problems
Hari Om Aggrawal and Jan Modersitzki
- 8 - A Scaled and Adaptive FISTA Algorithm for Signal-dependent Sparse Image Super-resolution Problems
Marta Lazzaretti, Simone Rebegoldi, Luca Calatroni and Claudio Estatico
- 9 - Convergence Properties of a Randomized Primal-Dual Algorithm with Applications to Parallel MRI
Eric B Gutiérrez, Claire Delplancke and Matthias J Ehrhardt
- 10 - On the Geometric Mechanics of Assignment Flows for Metric Data Labeling
Fabrizio Savarino, Peter Albers and Christoph Schnörr
- 11 - Residual Whiteness Principle for Automatic Parameter Selection in L2-L2 Image Super-resolution Problems
Monica Pragliola, Luca Calatroni, Alessandro Lanza and Fiorella Sgallari
- 12 - Sparsity-aided Variational Mesh Restoration
Martin Huska, Serena Morigi and Giuseppe Antonio Recupero
- 13 - GMM-based Simultaneous Reconstruction and Segmentation in X-ray CT application
Shi Yan and Yiqiu Dong
- 14 - Lossless PDE-based Compression of 3D Medical Images
Ikram Jumakulyyev and Thomas Schultz
- 15 - Inpainting-based Video Compression in FullHD
Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert and Sebastian Hoffmann
(15:30-16:00) Break
(16:00) Oral Session 2: Optimization Theory and Methods in Imaging
Chairman : Joachim Weickert
- (16:00) Diffusion, Pre-Smoothing and Gradient Descent - video
Martin Welk
- (16:30) Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems - video
Yohann De Castro, Vincent Duval and Romain Petit
- (17:00) First Order Geometric Multilevel Optimization For Discrete Tomography - video
Jan Plier, Fabrizio Savarino, Michael Kočvara and Stefania Petra
Tuesday 18 May
(9:00) Plenary II: Daniel Cremers
Title: Visual SLAM in the Age of Deep Learning
Video: here
Abstract: here
Chairman : Yvain Quéau
(10:00-10:30) Break
(10:30) Oral Session 3: Segmentation and Registration
Chairman : Jan Modersitzki
- (10:30) On the Correspondence between Replicator Dynamics and Assignment Flows - video
Bastian Boll, Jonathan Schwarz and Christoph Schnörr
- (11:00) Multiscale Registration
Noémie Debroux, Carole Le Guyader and Luminita A Vese - video
- (11:30) A Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration - video
Liam Burrows, Ke Chen and Francesco Torella
(12:00-14:00) Lunch Break
(14:00) Poster Session 2: Registration + Machine Learning Methods in Imaging
(2 minutes per poster flash presentations, followed by individual Poster Presentation in dedicated breakrooms)
- 1 - Challenges for Optical Flow Estimates in Elastography
Ekaterina Sherina, Lisa Krainz, Simon Hubmer, Wolfgang Drexler and Otmar Scherzer
- 2 - An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation
Lukas Mehl, Cedric Beschle, Andrea Barth and Andrés Bruhn
- 3 - Low-rank Registration of Images Captured Under Unknown, Varying Lighting
Matthieu Pizenberg, Yvain Quéau and Abderrahim Elmoataz
- 4 - Towards Efficient Time Stepping for Numerical Shape Correspondence
Alexander Köhler and Michael Breuß
- 5 - First Order Locally Orderless Registration
Sune Darkner, José D T Vidarte and François Lauze
- 6 - Variational Models for Signal Processing with Graph Neural Networks
Amitoz Azad, Julien Rabin and Abderrahim Elmoataz
- 7 - Synthetic Images as a Regularity Prior for Image Restoration Neural Networks
Raphaël Achddou, Yann Gousseau and Saı̈d Ladjal
- 8 - Learning Local Regularization for Variational Image Restoration
Jean Prost, Antoine Houdard, Andrés Almansa and Nicolas Papadakis
- 9 - Learning Linear Assignment Flows for Image Labeling via Exponential Integration
Alexander Zeilmann, Stefania Petra and Christoph Schnörr
- 10 - Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence
Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Solwitsch and Gabriele Steidl
- 11 - Adversarially Learned Iterative Reconstruction for Imaging Inverse Problem
Subhadip Mukherjee, Ozan Öktem and Carola-Bibiane Schönlieb
- 12 - Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation
Changqing Fu and Laurent Cohen
- 13 - Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy
Thomas Pinetz, Erich Kobler, Christian Doberstein, Benjamin Berkels and Alexander Effland
- 14 - Bregman Proximal Gradient Algorithms for Deep Matrix Factorization
Mahesh Chandra Mukkamala, Felix Westerkamp, Emanuel Laude, Daniel Cremers and Peter Ochs
- 15 - Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations
Remco Duits, Bart Smets, Erik Bekkers and Jim Portegies
(15:30-16:00) Break
(16:00) Oral Session 4: Machine Learning in Imaging
Chairwoman: Agnes Desolneux
- (16:00) Wasserstein Generative Models for Patch-based Texture Synthesis - video
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis and Julien Rabin
- (16:30) Translating Numerical Concepts for PDEs into Neural Architectures - video
Tobias Alt, Pascal Peter, Joachim Weickert and Karl Schrader
- (17:00) CLIP: Cheap Lipschitz Training of Neural Networks
Leon Bungert, René Raab, Tim Roith, Leo Schwinn and Daniel Tenbrinck - video
Wednesday 19 May
(9:00) Plenary III: Julie Delon
Title: Some perspectives on stochastic models for Bayesian image restoration
Video: here
Abstract: here
Chairman: Julien Rabin
(10:00-10:30) Break
(10:30) Oral Session 5: Restoration and Interpolation
Chairwoman: Gabriele Steidl
- (10:30) Sketched Learning for Image Denoising - video
Hui Shi, Yann Traonmilin and Jean-François Aujol
- (11:00) Multi-frame Super-resolution from Noisy Data - video
Kireeti Bodduna, Joachim Weickert and Marcelo Cárdenas
- (11:30) Total-Variation Mode Decomposition - video
Ido Cohen, Tom Berkov and Guy Gilboa
(12:00-14:00) Lunch Break
(14:00) Plenary IV: Jean-Luc Starck
Title: Bridging the gap between U-nets and sparse recovery
Video: here
Abstract: here
Chairman : Jalal Fadili
(15:15) Announcements video
(16:00) Concluding remarks
