Learning the Roots of Visual Domain Shift. - Tatiana Tommasi; Martina Lanzi; Paolo Russo 001; Barbara Caputo (ECCV Workshops (3), 2016)

A deep representation for depth images from synthetic data. - Fabio Maria Carlucci; Paolo Russo 001; Barbara Caputo (ICRA, 2017)

(DE)2 CO: Deep Depth Colorization. - Fabio Maria Carlucci; Paolo Russo 001; S. M. Baharlou; Barbara Caputo (CoRR, 2017)

From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN. - Paolo Russo 001; Fabio Maria Carlucci; Tatiana Tommasi; Barbara Caputo (CVPR, 2018)

Agnostic Domain Generalization. - Fabio Maria Carlucci; Paolo Russo 001; Tatiana Tommasi; Barbara Caputo (CoRR, 2018)

(DE)2CO: Deep Depth Colorization. - Fabio Maria Carlucci; Paolo Russo 001; Barbara Caputo (IEEE Robotics Autom. Lett., 2018)

Hallucinating Agnostic Images to Generalize Across Domains. - Fabio Maria Carlucci; Paolo Russo 001; Tatiana Tommasi; Barbara Caputo (ICCV Workshops, 2019)

Towards Multi-source Adaptive Semantic Segmentation. - Paolo Russo 001; Tatiana Tommasi; Barbara Caputo (ICIAP (1), 2019)

DANAE: a denoising autoencoder for underwater attitude estimation. - Paolo Russo 001; Fabiana Di Ciaccio; Salvatore Troisi (CoRR, 2020)

Broadening deep learning horizons: models for RGB and depth images adaptation. - Paolo Russo 001 (2020)

Learning to See Through a Few Pixels: Multi Streams Network for Extreme Low-Resolution Action Recognition. - Paolo Russo 001; Salvatore Ticca; Edoardo Alati; Fiora Pirri (IEEE Access, 2021)

DANAE++: A Smart Approach for Denoising Underwater Attitude Estimation. - Paolo Russo 001; Fabiana Di Ciaccio; Salvatore Troisi (Sensors, 2021)

DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea. - Fabiana Di Ciaccio; Paolo Russo 001; Salvatore Troisi (IEEE Access, 2022)

SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings. - Lorenzo Papa; Edoardo Alati; Paolo Russo 001; Irene Amerini (IEEE Access, 2022)

Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra. - Pietro Manganelli Conforti; Mario D'Acunto; Paolo Russo 001 (Sensors, 2022)

Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform. - Pietro Manganelli Conforti; Andrea Fanti 001; Pietro Nardelli; Paolo Russo 001 (ICIAP Workshops (1), 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 001; Irene Amerini (ICIAP Workshops (1), 2023)

Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation. - Matteo Zaramella; Irene Amerini; Paolo Russo 001 (SUMAC @ ACM Multimedia, 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 001; Irene Amerini; Roberto Beraldi (Sensors, 2023)

Bridge Damage Identification Using Deep Neural Networks on Time-Frequency Signals Representation. - Pasquale Santaniello; Paolo Russo 001 (Sensors, 2023)

METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation. - Lorenzo Papa; Paolo Russo 001; Irene Amerini (IEEE Trans. Circuits Syst. Video Technol., 2023)

DC-DOES: A Dual-Camera Deep Learning Approach for Robust Orientation Estimation in Maritime Environments. - Fabiana Di Ciaccio; Salvatore Troisi; Paolo Russo 001 (IEEE Access, 2024)

Raman Spectroscopy and AI Applications in Cancer Grading: An Overview. - Pietro Manganelli Conforti; Gianmarco Lazzini; Paolo Russo 001; Mario D'Acunto (IEEE Access, 2024)

Deep Classification of Microplastics Through Image Fusion Techniques. - Paolo Russo 001; Fabiana Di Ciaccio (IEEE Access, 2024)

D4D: An RGBD Diffusion Model to Boost Monocular Depth Estimation. - Lorenzo Papa; Paolo Russo 001; Irene Amerini (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking. - Lorenzo Papa; Paolo Russo 001; Irene Amerini; Luping Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Vit4V: a Video Classification Method for the Detection of Varroa Destructor from Honeybees. - Luca Giovannesi; Paolo Russo 001; Roberto Beraldi (CVPR Workshops, 2025)

Encoding Holographic Data Into Synthetic Video Streams for Enhanced Microplastic Detection. - Paolo Russo 001; Fabiana Di Ciaccio; Pasquale Santaniello; Teresa Cacace; Pierluigi Carcagnì; Marco Del Coco; Melania Paturzo (IEEE Access, 2025)