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2020 – today
- 2024
[i12]Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo, Alessandro Corbetta:
Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks. CoRR abs/2405.13850 (2024)- 2023
- [i11]Alessandro Corbetta, Thomas Geert de Jong:
How neural networks learn to classify chaotic time series. CoRR abs/2306.02300 (2023) - 2022
- [c5]Toros Senan, Alessandro Corbetta
, Bart Hengeveld:
Towards Sound-based Crowd Management: Investigating Sonification for Pedestrian Steering. Audio Mostly Conference 2022: 32-35 - [i10]Giulio Ortali, Alessandro Corbetta, Gianluigi Rozza, Federico Toschi:
Towards a Numerical Proof of Turbulence Closure. CoRR abs/2202.09289 (2022) - 2021
- [j1]Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri:
Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization. J. Comput. Sci. 53: 101357 (2021) - [i9]Caspar A. S. Pouw, Joris Willems, Frank van Schadewijk, Jasmin Thurau, Federico Toschi, Alessandro Corbetta:
Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control. CoRR abs/2108.11719 (2021) - 2020
- [i8]Joris Willems, Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
Pedestrian orientation dynamics from high-fidelity measurements. CoRR abs/2001.04646 (2020) - [i7]Gerben Beintema, Alessandro Corbetta, Luca Biferale, Federico Toschi:
Controlling Rayleigh-Bénard convection via Reinforcement Learning. CoRR abs/2003.14358 (2020)
2010 – 2019
- 2019
- [c4]Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
Stampnet: Unsupervised Multi-Class Object Discovery. ICIP 2019: 2951-2955 - [i6]Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
StampNet: unsupervised multi-class object discovery. CoRR abs/1902.02693 (2019) - [i5]Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi:
Deep learning velocity signals allows to quantify turbulence intensity. CoRR abs/1911.05718 (2019) - [i4]Pietro Centorrino, Alessandro Corbetta, Emiliano Cristiani, Elia Onofri:
Measurement and analysis of visitors' trajectories in crowded museums. CoRR abs/1912.02744 (2019) - 2018
- [i3]Werner Kroneman, Alessandro Corbetta, Federico Toschi:
Accurate pedestrian localization in overhead depth images via Height-Augmented HOG. CoRR abs/1805.12510 (2018) - 2017
- [c3]Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields. AVSS 2017: 1-6 - [c2]Diping Song, Yu Qiao, Alessandro Corbetta:
Depth driven people counting using deep region proposal network. ICIA 2017: 416-421 - [c1]Roberto Benzi, Luca Biferale, Fabio Bonaccorso, H. J. H. Clercx, Alessandro Corbetta, W. Mobius, Federico Toschi, Francesco Salvadore, C. Cacciari, G. Erbacci:
TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics. HPCS 2017: 51-57 - [i2]Alessandro Corbetta, Vlado Menkovski, Federico Toschi:
Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields. CoRR abs/1706.02850 (2017) - 2014
- [i1]Alessandro Corbetta, Adrian Muntean, Federico Toschi, Kiamars Vafayi:
Parameter Estimation of Social Forces in Crowd Dynamics Models via a Probabilistic Method. CoRR abs/1403.5361 (2014)
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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