Pubblicazioni di Russo Paolo

2024

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

A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024: 1-20

Papa Lorenzo, Russo Paolo, Amerini Irene

D4D: An RGBD diffusion model to boost monocular depth estimation. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2024: 1-14

Manganelli Conforti Pietro, Fanti Andrea, Nardelli Pietro, Russo Paolo

Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform. Image Analysis and Processing - ICIAP 2023 Workshops 2024: 371-382

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

Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024: 383-394

2023

Russo Paolo, Schaerf Marco

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

Santaniello Pasquale, Russo Paolo

Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation. 2023: 6152-

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

Zaramella Matteo, Amerini Irene, Russo Paolo

Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation. Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents (SUMAC '23). Association for Computing Machinery, New York, NY, USA 2023: 29-37

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