ERD

Self-Supervised Small Soccer Player Detection and Tracking

Project: NoMADS

Updated at: 28-04-2024

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Discrete p-bilaplacian Operators on Graphs

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Updated at: 28-04-2024

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Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

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Updated at: 28-04-2024

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Publication of new mathematical findings (WP 1-4) in scientific journals and international conferences

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Updated at: 28-04-2024

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A hybrid analytical–numerical algorithm for determining the neuronal current via electroencephalography

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Updated at: 28-04-2024

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Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography

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Updated at: 28-04-2024

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Learning Consistent Discretizations of the Total Variation

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Updated at: 28-04-2024

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On the convergence rate of some nonlocal energies

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Updated at: 28-04-2024

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Network structured kinetic models of social interactions

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Updated at: 28-04-2024

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Unsupervised clustering of Roman potsherds via Variational Autoencoders

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Updated at: 28-04-2024

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iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems

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Low Dimensional State Representation Learning with Reward-shaped Priors

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Updated at: 28-04-2024

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Mean-field optimal control for biological pattern formation

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Updated at: 28-04-2024

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A Bregman Learning Framework for Sparse Neural Networks

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Updated at: 28-04-2024

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FISTA is an automatic geometrically optimized algorithm for strongly convex functions

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Updated at: 28-04-2024

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Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation

Project: NoMADS

Updated at: 28-04-2024

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Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels

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Updated at: 28-04-2024

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On anisotropic diffusion equations for label propagation

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Updated at: 28-04-2024

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Fluctuation-Based Deconvolution in~Fluorescence Microscopy Using Plug-and-Play Denoisers

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Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

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Updated at: 28-04-2024

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Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classi...

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A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation

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Updated at: 28-04-2024

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Vocoder-Based Speech Synthesis from Silent Videos

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Updated at: 28-04-2024

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Structure preserving neural networks based on ODEs

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Updated at: 28-04-2024

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DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

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Updated at: 28-04-2024

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Uniqueness of a solution to a general class of discrete system defined on connected graphs

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Image Reconstruction in Dynamic Inverse Problems with Temporal Models

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Updated at: 28-04-2024

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History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection

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Solos: A Dataset for Audio-Visual Music Analysis

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Regularization Properties of Dual Subgradient Flow

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Resources

Selected filters:

Self-Supervised Small Soccer Player Detection and Tracking

Discrete p-bilaplacian Operators on Graphs

Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

Publication of new mathematical findings (WP 1-4) in scientific journals and international conferences

A hybrid analytical–numerical algorithm for determining the neuronal current via electroencephalography

Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography

Learning Consistent Discretizations of the Total Variation

On the convergence rate of some nonlocal energies

Network structured kinetic models of social interactions

Unsupervised clustering of Roman potsherds via Variational Autoencoders

iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems

Low Dimensional State Representation Learning with Reward-shaped Priors

Mean-field optimal control for biological pattern formation

A Bregman Learning Framework for Sparse Neural Networks

FISTA is an automatic geometrically optimized algorithm for strongly convex functions

Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation

Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels

On anisotropic diffusion equations for label propagation

Fluctuation-Based Deconvolution in~Fluorescence Microscopy Using Plug-and-Play Denoisers

Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Nonlocal Perimeters and Curvature Flows on Graphs with Applications in Image Processing and High-Dimensional Data Classi...

A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation

Vocoder-Based Speech Synthesis from Silent Videos

Structure preserving neural networks based on ODEs

DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

Uniqueness of a solution to a general class of discrete system defined on connected graphs

Image Reconstruction in Dynamic Inverse Problems with Temporal Models

History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection

Solos: A Dataset for Audio-Visual Music Analysis

Regularization Properties of Dual Subgradient Flow