Alexandros Gkillas

Evangelos K. Markakis

Ilias Politis

IEEE Trans. Intell. Veh., January, 2024

2023

Cost-efficient coupled learning methods for recovering near-infrared information from RGB signals: Application in precision agriculture.

[BibT_eX]

[DOI]

Dimitrios I. Kosmopoulos

Comput. Electron. Agric., June, 2023

Connections Between Deep Equilibrium and Sparse Representation Models With Application to Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Federated Unrolling for Boosting Low-Resolution Lidar-Based SLAM Solutions.

[BibT_eX]

[DOI]

Christos Anagnostopoulos

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

An Efficient Deep Unrolling Super-Resolution Network for Lidar Automotive Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Resource Efficient Federated Learning for Deep Anomaly Detection in Industrial IoT applications.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Federated Learning for Lidar Super Resolution on Automotive Scenes.

[BibT_eX]

[DOI]

Gerasimos Arvanitis

Konstantinos Moustakas

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Federated Deep Feature Extraction-based SLAM for Autonomous Vehicles.

[BibT_eX]

[DOI]

Christos Anagnostopoulos

Nikos Piperigkos

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Subspace Parsimonious Dictionary Learning and its use in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

A Highly Interpretable Deep Equilibrium Network for Hyperspectral Image Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Equilibrium Models Meet Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Deep Equilibrium Assisted Block Sparse Coding of Inter-dependent Signals: Application to Hyperspectral Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Dictionary Learning from Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Missing Data Imputation for Multivariate Time series in Industrial IoT: A Federated Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

A cross-domain recommender system using deep coupled autoencoders.

[BibT_eX]

[DOI]

Dimitrios I. Kosmopoulos

CoRR, 2021

A Method for Recovering Near Infrared Information from RGB Measurements with Application in Precision Agriculture.

[BibT_eX]

[DOI]

Constantinos Constantinopoulos

Dimitrios I. Kosmopoulos

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Efficient Coupled Dictionary Learning And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Fast Sparse Coding Algorithms for Piece-wise Smooth Signals.

[BibT_eX]

[DOI]