Publications

 Anomaly detection in railway bridges using imaging techniques

 P Russo, M. Schaerf

Scientific Reports (Nature)

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

L Papa, G Mattia Proietti, P Russo, I Amerini, R Beraldi

Sensors 23 (4), 2223

Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra

P Manganelli Conforti, M D’Acunto, P Russo

Sensors 22 (19), 7492

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

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

aRTIC GAN: A Recursive Text-Image-Conditioned GAN

E Alati, CA Caracciolo, M Costa, M Sanzari, P Russo, I Amerini

Electronics 11 (11), 1737

DANAE++: A Smart Approach for Denoising Underwater Attitude Estimation

P Russo, F Di Ciaccio, S Troisi

Sensors 21 (4), 1526

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

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

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)

Towards multi-source adaptive semantic segmentation

P Russo, T Tommasi, B Caputo

International Conference on Image Analysis and Processing, 292-301

DE2CO: Deep Depth Colorization

FM Carlucci, P Russo, B Caputo

IEEE Robotics and Automation Letters 3 (3), 2386-2393

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 Recognition

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

Learning the roots of visual domain shift

T Tommasi, M Lanzi, P Russo, B Caputo

European Conference on Computer Vision, 475-482

PhD Thesis

Broadening Deep Learning horizons: models for RGB and Depth images adaptation

P Russo