Pasquale Cascarano

According to our database, Pasquale Cascarano authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Constrained Plug-and-Play Priors for Image Restoration.

Alessandro Benfenati, Pasquale Cascarano

J. Imaging, February, 2024

Constrained Regularization by Denoising With Automatic Parameter Selection.

Pasquale Cascarano, Alessandro Benfenati, Ulugbek S. Kamilov, Xiaojian Xu

IEEE Signal Process. Lett., 2024

A variable metric proximal stochastic gradient method: An application to classification problems.

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

EURO J. Comput. Optim., 2024

DanXe: An extended artificial intelligence framework to analyze and promote dance heritage.

Lorenzo Stacchio, Silvia Garzarella, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia

Digit. Appl. Archaeol. Cult. Heritage, 2024

Heritage elements and Artificial Intelligence as storytelling tools for virtual retail environments.

Shirin Hajahmadi, Irene Calvi, Eleonora Stacchiotti, Pasquale Cascarano, Gustavo Marfia

Digit. Appl. Archaeol. Cult. Heritage, 2024

WiXaRd: Towards a Holistic Distributed Platform for Multi-Party and Cross-Reality WebXR Experiences.

Lorenzo Stacchio, Giacomo Vallasciani, Giulio Augello, Silvano Carrador, Pasquale Cascarano, Gustavo Marfia

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

PuzzleAide: Comparing Audio and Embodied Assistants for MR Puzzle-Solving.

Shirin Hajahmadi, Fariba Mostajeran, Kevin Heuer, Anton Lux, Gil Otis Mends-Cole, Pasquale Cascarano, Frank Steinicke, Gustavo Marfia

Proceedings of the 2024 ACM Symposium on Spatial User Interaction, 2024

CreAIXR: Fostering Creativity with Generative AI in XR environments.

Giacomo Vallasciani, Lorenzo Stacchio, Pasquale Cascarano, Gustavo Marfia

Proceedings of the IEEE International Conference on Metaverse Computing, 2024

Handling privacy and security aspects in a collaborative AR session.

Giacomo Vallasciani, Andrea Schinoppi, Pasquale Cascarano, Gustavo Marfia, Lorenzo Donatiello

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2024

Investigating eXtended Reality-powered Digital Twins for Sequential Instruction Learning: the Case of the Rubik's Cube.

Shirin Hajahmadi, Lorenzo Stacchio, Alessandro Giacchè, Pasquale Cascarano, Gustavo Marfia

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2024

An Automatic Deep Learning Approach for Trailer Generation through Large Language Models.

Roberto Balestri, Pasquale Cascarano, Mirko Degli Esposti, Guglielmo Pescatore

Proceedings of the 9th International Conference on Frontiers of Signal Processing, 2024

The Influence of Audiovisual Elements on the Realism of Generative AI Videos: The Case of Sora.

Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Pasquale Cascarano, Shirin Hajahmadi, Giacomo Vallasciani, Manuel Gértrudix, Gustavo Marfia

Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev.

Silvia Garzarella, Lorenzo Stacchio, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia

Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

Constrained and unconstrained deep image prior optimization models with automatic regularization.

Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani

Comput. Optim. Appl., 2023

2022

Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation.

Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini

Image Process. Line, 2022

DeepCEL0 for 2D single-molecule localization in fluorescence microscopy.

Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli

Bioinform., 2022

Plug-and-Play gradient-based denoisers applied to CT image enhancement.

Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani

Appl. Math. Comput., 2022

2021

Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation.

Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini

IEEE Trans. Computational Imaging, 2021

Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.

Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini, Maria Carla Parrini, Elena Loli Piccolomini, Eugenio Martinelli

Medical Image Anal., 2021

On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators.

Pasquale Cascarano, Patrizio Frosini, Nicola Quercioli, Amir Saki

CoRR, 2021

Plug-and-Play external and internal priors for image restoration.

Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani

CoRR, 2021

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM.

Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020

Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method.

Pasquale Cascarano, Francesco Corsini, Stefano Gandolfi, Elena Loli Piccolomini, Emanuele Mandanici, Luca Tavasci, Fabiana Zama

Remote. Sens., 2020

ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration.

Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes

CoRR, 2020

On the inverse Potts functional for single-image super-resolution problems.

Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini

CoRR, 2020

2019

Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction.

Elena Loli Piccolomini, Stefano Gandolfi, Luca Poluzzi, Luca Tavasci, Pasquale Cascarano, Andrea Pascucci

Proceedings of the 26th International Symposium on Temporal Representation and Reasoning, 2019