Paolo Russo

According to our database, Paolo Russo authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation.

Lorenzo Papa, Paolo Russo, Irene Amerini

IEEE Trans. Circuits Syst. Video Technol., October, 2023

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

Pasquale Santaniello, Paolo Russo

Sensors, July, 2023

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

Lorenzo Papa, Gabriele Proietti Mattia, Paolo Russo, Irene Amerini, Roberto Beraldi

Sensors, February, 2023

A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking.

Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou

CoRR, 2023

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

Matteo Zaramella, Irene Amerini, Paolo Russo

Proceedings of the 5th Workshop on analySis, 2023

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

Claudio Schiavella, Lorenzo Cirillo, Lorenzo Papa, Paolo Russo, Irene Amerini

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform.

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

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022

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

Pietro Manganelli Conforti, Mario D'Acunto, Paolo Russo

Sensors, 2022

SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings.

Lorenzo Papa, Edoardo Alati, Paolo Russo, Irene Amerini

IEEE Access, 2022

DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea.

Fabiana Di Ciaccio, Paolo Russo, Salvatore Troisi

IEEE Access, 2022

2021

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

Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi

Sensors, 2021

Learning to See Through a Few Pixels: Multi Streams Network for Extreme Low-Resolution Action Recognition.

Paolo Russo, Salvatore Ticca, Edoardo Alati, Fiora Pirri

IEEE Access, 2021

2020

Broadening deep learning horizons: models for RGB and depth images adaptation.

Paolo Russo

PhD thesis, 2020

DANAE: a denoising autoencoder for underwater attitude estimation.

Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi

CoRR, 2020

2019

Towards Multi-source Adaptive Semantic Segmentation.

Paolo Russo, Tatiana Tommasi, Barbara Caputo

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Hallucinating Agnostic Images to Generalize Across Domains.

Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

(DE)²CO: Deep Depth Colorization.

Fabio Maria Carlucci, Paolo Russo, Barbara Caputo

IEEE Robotics Autom. Lett., 2018

Agnostic Domain Generalization.

Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo

CoRR, 2018

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN.

Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

(DE)² CO: Deep Depth Colorization.

Fabio Maria Carlucci, Paolo Russo, S. M. Baharlou, Barbara Caputo

CoRR, 2017

A deep representation for depth images from synthetic data.

Fabio Maria Carlucci, Paolo Russo, Barbara Caputo

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Learning the Roots of Visual Domain Shift.

Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016