Publications

Advancing Sea Surface Temperature Forecasting with Deep Learning Techniques on Copernicus Data: An Application in the Gulf of Trieste

Conforti, P.M., Russo, P., Di Ciaccio, F.

2024 IEEE International Workshop on Metrology for the Sea, MetroSea 2024 - Proceedings, 2024 

DC-DOES: A Dual-Camera Deep Learning Approach for Robust Orientation Estimation in Maritime Environments

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

IEEE Access, 2024, 12

Deep Classification of Microplastics Through Image Fusion Techniques

Russo, P., Di Ciaccio, F.

IEEE Access, 2024, 12

D4D: An RGBD Diffusion Model to Boost Monocular Depth Estimation

Papa, L., Russo, P., Amerini, I.

IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10) 

A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking

Papa, L., Russo, P., Amerini, I., Zhou, L.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(12) 

Raman Spectroscopy and AI Applications in Cancer Grading: An Overview

Conforti, P.M., Lazzini, G., Russo, P., D'Acunto, M.

IEEE Access, 2024, 12, pp. 54816–54852

Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task

Schiavella, C., Cirillo, L., Papa, L., Russo, P., Amerini, I.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform

 Manganelli Conforti, P., Fanti, A., Nardelli, P., Russo, P.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 

Anomaly detection in railway bridges using imaging techniques

 P Russo, M. Schaerf

Scientific Reports (Nature)


Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation

Zaramella, M., Amerini, I., Russo, P.

SUMAC 2023 - Proceedings of the 5th Workshop on the analySis, Understanding and proMotion of heritAge Contents, 2023, pp. 29–37


METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation

Papa, L., Russo, P., Amerini, I.

IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(10), pp. 5882–5893


Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation

Santaniello, P., Russo, P.

Sensors, 2023, 23(13), 6152

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


Recent advances in AI for enhanced environmental monitoring and preservation

Russo, P., Di Ciaccio, F.

2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2023 - Proceedings, 2023, pp. 127–132

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

P Manganelli Conforti, M D’Acunto, P Russo

Sensors 22 (19), 7492


aRTIC GAN: A Recursive Text-Image-Conditioned GAN

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

Electronics 11 (11), 1737


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


Deep models optimization on embedded devices to improve the orientation estimation task at sea

Russo, P., Di Ciaccio, F.

2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2022 - Proceedings, 2022, pp. 44–49


Real-Time monocular depth estimation on embedded devices: Challenges and performances in terrestrial and underwater scenarios

Papa, L., Russo, P., Amerini, I.

2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2022 - Proceedings, 2022, pp. 50–55


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


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


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


DE2CO: Deep Depth Colorization

FM Carlucci, P Russo, B Caputo

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


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