Paolo Russo
Paolo Russo
PostDoc Researcher, University of Rome La Sapienza
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Cited by
Cited by
From source to target and back: symmetric bi-directional adaptive gan
P Russo, FM Carlucci, T Tommasi, B Caputo
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Hallucinating agnostic images to generalize across domains
FM Carlucci, P Russo, T Tommasi, B Caputo
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
A deep representation for depth images from synthetic data
FM Carlucci, P Russo, B Caputo
2017 IEEE international conference on robotics and automation (ICRA), 1362-1369, 2017
Learning the roots of visual domain shift
T Tommasi, M Lanzi, P Russo, B Caputo
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
CO: Deep Depth Colorization
FM Carlucci, P Russo, B Caputo
IEEE Robotics and Automation Letters 3 (3), 2386-2393, 2018
Towards multi-source adaptive semantic segmentation
P Russo, T Tommasi, B Caputo
International Conference on Image Analysis and Processing, 292-301, 2019
Speed: Separable pyramidal pooling encoder-decoder for real-time monocular depth estimation on low-resource settings
L Papa, E Alati, P Russo, I Amerini
IEEE Access 10, 44881-44890, 2022
Learning to see through a few pixels: Multi streams network for extreme low-resolution action recognition
P Russo, S Ticca, E Alati, F Pirri
IEEE Access 9, 12019-12026, 2021
DANAE: a denoising autoencoder for underwater attitude estimation
ST Paolo Russo, Fabiana Di Ciaccio
2020 IMEKO TC-19 International Workshop on Metrology for the Sea 1, 195-198, 2020
DANAE++: A Smart Approach for Denoising Underwater Attitude Estimation
P Russo, F Di Ciaccio, S Troisi
Sensors 21 (4), 1526, 2021
Deep learning for chondrogenic tumor classification through wavelet transform of Raman spectra
P Manganelli Conforti, M D’Acunto, P Russo
Sensors 22 (19), 7492, 2022
Does: A deep learning-based approach to estimate roll and pitch at sea
F Di Ciaccio, P Russo, S Troisi
IEEE access 10, 29307-29321, 2022
aRTIC GAN: A Recursive Text-Image-Conditioned GAN
E Alati, CA Caracciolo, M Costa, M Sanzari, P Russo, I Amerini
Electronics 11 (11), 1737, 2022
Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios
L Papa, P Russo, I Amerini
IEEE International Workshop on Metrology for the Sea, 2022, 2022
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios
L Papa, G Proietti Mattia, P Russo, I Amerini, R Beraldi
Sensors 23 (4), 2223, 2023
Deep models optimization on embedded devices to improve the orientation estimation task at sea.
P Russo, F Di Ciaccio
2022 IEEE International Workshop on Metrology for the Sea, 2022
Broadening Deep Learning horizons: models for RGB and Depth images adaptation
P Russo
Leveraging over depth in egocentric activity recognition
BC Mirco Planamente, Paolo Russo
2019 I-RIM Conference, 5--6, 2019
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