Alessandro Corbetta

According to our database, Alessandro Corbetta authored at least 17 papers between 2014 and 2024.

Collaborative distances:

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

2024

Understanding complex crowd dynamics with generative neural simulators.

Koen Minartz, Fleur Hendriks, Simon Martinus Koop, Alessandro Corbetta, Vlado Menkovski

CoRR, 2024

Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks.

Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo, Alessandro Corbetta

CoRR, 2024

2023

How neural networks learn to classify chaotic time series.

Alessandro Corbetta, Thomas Geert de Jong

CoRR, 2023

2022

Towards a Numerical Proof of Turbulence Closure.

Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi

CoRR, 2022

Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering.

Toros Senan, Alessandro Corbetta, Bart Hengeveld

Proceedings of the AM '22: AudioMostly 2022, St. Pölten, 2022

2021

Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization.

Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri

J. Comput. Sci., 2021

Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control.

Caspar A. S. Pouw, Joris Willems, Frank van Schadewijk, Jasmin Thurau, Federico Toschi, Alessandro Corbetta

CoRR, 2021

2020

Controlling Rayleigh-Bénard convection via Reinforcement Learning.

Gerben Beintema, Alessandro Corbetta, Luca Biferale, Federico Toschi

CoRR, 2020

Pedestrian orientation dynamics from high-fidelity measurements.

Joris Willems, Alessandro Corbetta, Vlado Menkovski, Federico Toschi

CoRR, 2020

2019

Measurement and analysis of visitors' trajectories in crowded museums.

Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri

CoRR, 2019

Deep learning velocity signals allows to quantify turbulence intensity.

Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi

CoRR, 2019

Stampnet: Unsupervised Multi-Class Object Discovery.

Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Accurate pedestrian localization in overhead depth images via Height-Augmented HOG.

Werner Kroneman, Alessandro Corbetta, Federico Toschi

CoRR, 2018

2017

TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics.

Roberto Benzi, Luca Biferale, Fabio Bonaccorso, H. J. H. Clercx, Alessandro Corbetta, W. Mobius, Federico Toschi, Francesco Salvadore, C. Cacciari, G. Erbacci

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Depth driven people counting using deep region proposal network.

Diping Song, Yu Qiao, Alessandro Corbetta

Proceedings of the IEEE International Conference on Information and Automation, 2017

Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields.

Alessandro Corbetta, Vlado Menkovski, Federico Toschi

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2014

Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic Method.

Alessandro Corbetta, Adrian Muntean, Federico Toschi, Kiamars Vafayi

CoRR, 2014