RUSSO, PAOLO

RUSSO, PAOLO  

DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-  

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(DE)(CO)-C-2: Deep Depth Colorization 2018 Carlucci, FABIO MARIA; Russo, Paolo; Caputo, Barbara
A deep representation for depth images from synthetic data 2017 Carlucci, FABIO MARIA; Russo, Paolo; Caputo, Barbara
Anomaly detection in railway bridges using imaging techniques 2023 Russo, Paolo; Schaerf, Marco
aRTIC GAN: A Recursive Text-Image-Conditioned GAN 2022 Alati, Edoardo; Caracciolo, Carlo Alberto; Costa, Marco; Sanzari, Marta; Russo, Paolo; Amerini, Irene
Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation 2023 Santaniello, Pasquale; Russo, Paolo
Broadening deep learning horizons: models for RGB and depth images adaptation 2020 Russo, Paolo
Danae++: A smart approach for denoising underwater attitude estimation 2021 Russo, P.; Di Ciaccio, F.; Troisi, S.
DANAE: A denoising autoencoder for underwater attitude estimation 2020 Russo, Paolo; Di Ciaccio, Fabiana; Troisi, Salvatore
Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra 2022 Manganelli Conforti, Pietro; D'Acunto, Mario; Russo, Paolo
Deep models optimization on embedded devices to improve the orientation estimation task at sea 2022 Russo, Paolo; Di Ciaccio, Fabiana
DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea 2022 Di Ciaccio, F; Russo, P; Troisi, S
Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform 2024 Manganelli Conforti, Pietro; Fanti, Andrea; Nardelli, Pietro; Russo, Paolo
From source to target and back: Symmetric Bi-Directional Adaptive GAN 2018 Russo, Paolo; Carlucci, Fabio M.; Tommasi, Tatiana; Caputo, Barbara
Hallucinating Agnostic Images to Generalize Across Domains 2019 Carlucci, Fm; Russo, P; Tommasi, T; Caputo, B
Learning the roots of visual domain shift 2016 Tommasi, Tatiana; Lanzi, Martina; Russo, Paolo; Caputo, Barbara
Learning to See through a Few Pixels: Multi Streams Network for Extreme Low-Resolution Action Recognition 2021 Russo, P.; Ticca, S.; Alati, E.; Pirri, F.
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios 2023 Papa, Lorenzo; Mattia, Gabriele; Russo, Paolo; Amerini, Irene; Beraldi, Roberto
METER: a mobile vision transformer architecture for monocular depth estimation 2023 Papa, Lorenzo; Russo, Paolo; Amerini, Irene
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task 2024 Schiavella, C.; Cirillo, L.; Papa, L.; Russo, P.; Amerini, I.
Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios 2022 Papa, Lorenzo; Russo, Paolo; Amerini, Irene