| Scale-Covariant and Scale-Invariant Gaussian Derivative Networks
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2021 |
Lindeberg, Tony |
| Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows
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2021 |
Brokman, Jonathan |
| Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting
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2021 |
Bednarski, Danielle |
| Wasserstein Generative Models for Patch-Based Texture Synthesis
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2021 |
Houdard, Antoine |
| A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems
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2021 |
Lazzaretti, Marta |
| Sketched Learning for Image Denoising
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2021 |
Shi, Hui |
| Geometric Deformation on Objects: Unsupervised Image Manipulation via Conjugation
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2021 |
Fu, Changqing |
| Learning Linear Assignment Flows for Image Labeling via Exponential Integration
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2021 |
Zeilmann, Alexander |
| A Deep Image Prior Learning Algorithm for Joint Selective Segmentation and Registration
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2021 |
Burrows, Liam |
| Total Deep Variation for Noisy Exit Wave Reconstruction in Transmission Electron Microscopy
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2021 |
Pinetz, Thomas |
| Quantisation Scale-Spaces
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2021 |
Peter, Pascal |
| Total-Variation Mode Decomposition
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2021 |
Cohen, Ido |
| Low-Rank Registration of Images Captured Under Unknown, Varying Lighting
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2021 |
Pizenberg, Matthieu |
| First-Order Geometric Multilevel Optimization for Discrete Tomography
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2021 |
Plier, Jan |
| Hessian Initialization Strategies for ℓ-BFGS Solving Non-linear Inverse Problems
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2021 |
Aggrawal, Hari Om |
| Translating Numerical Concepts for PDEs into Neural Architectures
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2021 |
Alt, Tobias |
| Variational Models for Signal Processing with Graph Neural Networks
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2021 |
Azad, Amitoz |
| On the correspondence between replicator dynamics and assignment flows
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2021 |
Boll, Bastian |
| Sparsity-Aided Variational Mesh Restoration
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2021 |
Huska, Martin |
| Diffusion, Pre-smoothing and Gradient Descent
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2021 |
Welk, Martin |
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