Pubblicazioni di Russo Paolo

2023

Russo Paolo, Schaerf Marco

Anomaly detection in railway bridges using imaging techniques. SCIENTIFIC REPORTS 2023: 3916-

Papa Lorenzo, PROIETTI MATTIA Gabriele, Russo Paolo, Amerini Irene, Beraldi Roberto

Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. SENSORS 2023: 2223-

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

2022

Alati Edoardo, Caracciolo Carlo Alberto, Costa Marco, Sanzari Marta, Russo Paolo, Amerini Irene

aRTIC GAN: A Recursive Text-Image-Conditioned GAN. ELECTRONICS 2022: 1737-

Manganelli Conforti Pietro, D'Acunto Mario, Russo Paolo

Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra. SENSORS 2022: -

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

DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea. IEEE ACCESS 2022: 29307-29321

Papa Lorenzo, Russo Paolo, Amerini Irene

Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios. IEEE International Workshop on Metrology for the Sea 2022: -

Papa Lorenzo, Alati Edoardo, Russo Paolo, Amerini Irene

SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings. IEEE ACCESS 2022: 44881-44890

2021

Russo P., Di Ciaccio F., Troisi S.

Danae++: A smart approach for denoising underwater attitude estimation. SENSORS 2021: 1-21

Russo P., Ticca S., Alati E., Pirri F.

Learning to See through a Few Pixels: Multi Streams Network for Extreme Low-Resolution Action Recognition. IEEE ACCESS 2021: 12019-12026

2020-02-28

RUSSO PAOLO

Broadening deep learning horizons: models for RGB and depth images adaptation. 2020-02-28: -

2020

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: -

2019

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

2018

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

2017

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

2016

Tommasi Tatiana, Lanzi Martina, Russo Paolo, Caputo Barbara

Learning the roots of visual domain shift. Computer Vision – ECCV 2016 Workshops 2016: 475-482