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ORCIDPasquale Cascarano
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2020 – today
- 2024
[j12]Lorenzo Stacchio
, Silvia Garzarella, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia:
DanXe: An extended artificial intelligence framework to analyze and promote dance heritage. Digit. Appl. Archaeol. Cult. Heritage 33: 00343 (2024)- [j11]Shirin Hajahmadi, Irene Calvi, Eleonora Stacchiotti, Pasquale Cascarano, Gustavo Marfia:
Heritage elements and Artificial Intelligence as storytelling tools for virtual retail environments. Digit. Appl. Archaeol. Cult. Heritage 34: 368 (2024) - [j10]Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani:
A variable metric proximal stochastic gradient method: An application to classification problems. EURO J. Comput. Optim. 12: 100088 (2024) - [j9]Alessandro Benfenati, Pasquale Cascarano:
Constrained Plug-and-Play Priors for Image Restoration. J. Imaging 10(2): 50 (2024) - [j8]Pasquale Cascarano, Alessandro Benfenati, Ulugbek S. Kamilov, Xiaojian Xu:
Constrained Regularization by Denoising With Automatic Parameter Selection. IEEE Signal Process. Lett. 31: 556-560 (2024) - [c10]Silvia Garzarella, Lorenzo Stacchio, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati, Gustavo Marfia:
Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev. CREAI@ECAI 2024: 88-97 - [c9]Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Pasquale Cascarano, Shirin Hajahmadi, Giacomo Vallasciani, Manuel Gértrudix, Gustavo Marfia:
The Influence of Audiovisual Elements on the Realism of Generative AI Videos: The Case of Sora. CREAI@ECAI 2024: 112-123 - [c8]Roberto Balestri, Pasquale Cascarano, Mirko Degli Esposti, Guglielmo Pescatore:
An Automatic Deep Learning Approach for Trailer Generation through Large Language Models. ICFSP 2024: 93-100 - [c7]Giacomo Vallasciani, Andrea Schinoppi, Pasquale Cascarano, Gustavo Marfia, Lorenzo Donatiello:
Handling privacy and security aspects in a collaborative AR session. ISMAR-Adjunct 2024: 20-22 - [c6]Shirin Hajahmadi, Lorenzo Stacchio, Alessandro Giacchè, Pasquale Cascarano, Gustavo Marfia:
Investigating eXtended Reality-powered Digital Twins for Sequential Instruction Learning: the Case of the Rubik's Cube. ISMAR 2024: 259-268 - [c5]Giacomo Vallasciani, Lorenzo Stacchio, Pasquale Cascarano, Gustavo Marfia:
CreAIXR: Fostering Creativity with Generative AI in XR environments. MetaCom 2024: 1-8 - [c4]Shirin Hajahmadi, Fariba Mostajeran, Kevin Heuer, Anton Lux, Gil Otis Mends-Cole, Pasquale Cascarano, Frank Steinicke, Gustavo Marfia:
PuzzleAide: Comparing Audio and Embodied Assistants for MR Puzzle-Solving. SUI 2024: 50:1-50:3 - [c3]Lorenzo Stacchio, Giacomo Vallasciani, Giulio Augello, Silvano Carrador, Pasquale Cascarano, Gustavo Marfia:
WiXaRd: Towards a Holistic Distributed Platform for Multi-Party and Cross-Reality WebXR Experiences. VR Workshops 2024: 264-272 - 2023
- [j7]Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta, Andrea Sebastiani:
Constrained and unconstrained deep image prior optimization models with automatic regularization. Comput. Optim. Appl. 84(1): 125-149 (2023) - 2022
- [j6]Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani:
Plug-and-Play gradient-based denoisers applied to CT image enhancement. Appl. Math. Comput. 422: 126967 (2022) - [j5]Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli:
DeepCEL0 for 2D single-molecule localization in fluorescence microscopy. Bioinform. 38(5): 1411-1419 (2022) - [j4]Dario Mylonopoulos, Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini:
Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation. Image Process. Line 12: 92-110 (2022) - 2021
- [j3]Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini, Maria Carla Parrini, Elena Loli Piccolomini, Eugenio Martinelli:
Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments. Medical Image Anal. 72: 102124 (2021) - [j2]Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini:
Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. IEEE Trans. Computational Imaging 7: 399-408 (2021) - [c2]Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes, Giorgia Franchini, Federica Porta:
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM. ICCSA (Workshops) 2021: 39-46 - [i6]Pasquale Cascarano, Elena Loli Piccolomini, Elena Morotti, Andrea Sebastiani:
Plug-and-Play external and internal priors for image restoration. CoRR abs/2102.07510 (2021) - [i5]Pasquale Cascarano, Patrizio Frosini, Nicola Quercioli, Amir Saki:
On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators. CoRR abs/2103.02543 (2021) - [i4]Pasquale Cascarano, Maria Colomba Comes, Andrea Sebastiani, Arianna Mencattini, Elena Loli Piccolomini, Eugenio Martinelli:
DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy. CoRR abs/2107.02281 (2021) - 2020
- [j1]Pasquale Cascarano, Francesco Corsini, Stefano Gandolfi, Elena Loli Piccolomini, Emanuele Mandanici, Luca Tavasci, Fabiana Zama:
Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method. Remote. Sens. 12(10): 1642 (2020) - [i3]Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini:
On the inverse Potts functional for single-image super-resolution problems. CoRR abs/2008.08470 (2020) - [i2]Pasquale Cascarano, Andrea Sebastiani, Maria Colomba Comes:
ADMM-DIPTV: combining Total Variation and Deep Image Prior for image restoration. CoRR abs/2009.11380 (2020) - [i1]Pasquale Cascarano, Maria Colomba Comes, Arianna Mencattini, Maria Carla Parrini, Elena Loli Piccolomini, Eugenio Martinelli:
Recursive Deep Prior Video: a Super Resolution algorithm for Time-Lapse Microscopy of organ-on-chip experiments. CoRR abs/2011.09855 (2020)
2010 – 2019
- 2019
- [c1]Elena Loli Piccolomini, Stefano Gandolfi, Luca Poluzzi, Luca Tavasci, Pasquale Cascarano, Andrea Pascucci:
Recurrent Neural Networks Applied to GNSS Time Series for Denoising and Prediction. TIME 2019: 10:1-10:12
Coauthor Index
aka: Elena Loli Piccolomini
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