Luca Piano

According to our database, Luca Piano authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Drift Detection for Black-Box Deep Learning Models.

Luca Piano, Fabio Garcea, Andrea Cavallone, Ignacio Aparicio Vazquez, Lia Morra, Fabrizio Lamberti

IT Prof., 2024

For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives.

Lia Morra, Antonio Santangelo, Pietro Basci, Luca Piano, Fabio Garcea, Fabrizio Lamberti, Massimo Leone

Comput. Vis. Image Underst., 2024

Latent Diffusion Models for Attribute-Preserving Image Anonymization.

Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra

CoRR, 2024

Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks.

Luca Piano, Francesco Manigrasso, Alessandro Sebastian Russo, Lia Morra

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Harnessing Foundation Models for Image Anonymization.

Luca Piano, Pietro Basci, Fabrizio Lamberti, Lia Morra

Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024

2023

Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification.

Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo, Lorenzo Lanari, Lia Morra, Fabrizio Lamberti

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.

Lia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe Di Giacomo, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Toward a Realistic Benchmark for Out-of-Distribution Detection.

Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Detecting Drift in Deep Learning: A Methodology Primer.

Luca Piano, Fabio Garcea, Valentina Gatteschi, Fabrizio Lamberti, Lia Morra

IT Prof., 2022

2020

Bridging the gap between Natural and Medical Images through Deep Colorization.

Lia Morra, Luca Piano, Fabrizio Lamberti, Tatiana Tommasi

Proceedings of the 25th International Conference on Pattern Recognition, 2020