Pubblicazioni di Russo Paolo


Manganelli Conforti Pietro, Fanti Andrea, Nardelli Pietro, Russo Paolo
Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform. Image Analysis and Processing - ICIAP 2023 Workshops 2024: 371-382

Schiavella C., Cirillo L., Papa L., Russo P., Amerini I.
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024: 383-394


Russo Paolo, Schaerf Marco
Papa Lorenzo, PROIETTI MATTIA Gabriele, Russo Paolo, Amerini Irene, Beraldi Roberto
Papa Lorenzo, Russo Paolo, Amerini Irene
METER: a mobile vision transformer architecture for monocular depth estimation. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2023: 1-1

Zaramella Matteo, Amerini Irene, Russo Paolo
Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation. Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents (SUMAC '23). Association for Computing Machinery, New York, NY, USA 2023: 29-37


Alati Edoardo, Caracciolo Carlo Alberto, Costa Marco, Sanzari Marta, Russo Paolo, Amerini Irene
Manganelli Conforti Pietro, D'Acunto Mario, Russo Paolo
Russo Paolo, Di Ciaccio Fabiana
Deep models optimization on embedded devices to improve the orientation estimation task at sea.. 2022 IEEE International Workshop on Metrology for the Sea 2022: -

Di Ciaccio F, Russo P, Troisi S
Papa Lorenzo, Russo Paolo, Amerini Irene
Papa Lorenzo, Alati Edoardo, Russo Paolo, Amerini Irene


Russo P., Di Ciaccio F., Troisi S.
Russo P., Ticca S., Alati E., Pirri F.



Russo Paolo, Di Ciaccio Fabiana, Troisi Salvatore
DANAE: A denoising autoencoder for underwater attitude estimation. MetroSea 2020 - TC19 International Workshop on Metrology for the Sea 2020: -


Carlucci Fm, Russo P, Tommasi T, Caputo B
Hallucinating Agnostic Images to Generalize Across Domains. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) 2019: 3227-3234

Russo Paolo, Tommasi Tatiana, Caputo Barbara
Towards Multi-source Adaptive Semantic Segmentation. International Conference on Image Analysis and Processing 2019: 292-301


Carlucci FM, Russo P, Caputo B
(DE)(CO)-C-2: Deep Depth Colorization. IEEE ROBOTICS AND AUTOMATION LETTERS 2018: 2386-2393

Russo Paolo, Carlucci Fabio M., Tommasi Tatiana, Caputo Barbara
From source to target and back: Symmetric Bi-Directional Adaptive GAN. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings 2018: 8099-8108


Carlucci Fabio Maria, Russo Paolo, Caputo Barbara
A deep representation for depth images from synthetic data. 2017 IEEE International Conference on Robotics and Automation (ICRA) 2017: 1362-1369


Tommasi Tatiana, Lanzi Martina, Russo Paolo, Caputo Barbara
Learning the roots of visual domain shift. Computer Vision – ECCV 2016 Workshops 2016: 475-482

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