Exploring gaze-adaptive features for interacting with multi-document visualizations. - Baris Serim; Luca Chech; Marta Vasilieva; Lorenzo Papa; Luciano Gamberini; Giulio Jacucci (VINCI, 2017)

DepthFake: A Depth-Based Strategy for Detecting Deepfake Videos. - Luca Maiano; Lorenzo Papa; Ketbjano Vocaj; Irene Amerini (ICPR Workshops (4), 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)

An Automated Ground-to-Aerial Viewpoint Localization for Content Verification. - Tania Sari Bonaventura; Luca Maiano; Lorenzo Papa; Irene Amerini (DSP, 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)

On the use of Stable Diffusion for creating realistic faces: from generation to detection. - Lorenzo Papa; Lorenzo Faiella; Luca Corvitto; Luca Maiano; Irene Amerini (IWBF, 2023)

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it. - Federico Siciliano; Luca Maiano; Lorenzo Papa; Federica Baccini; Irene Amerini; Fabrizio Silvestri (PKDD/ECML Workshops (2), 2023)

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection. - Fulvio Sanguigni; Mikolaj Czerkawski; Lorenzo Papa; Irene Amerini; Bertrand Le Saux (CoRR, 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)

Automated real-space lattice extraction for atomic force microscopy images. - Marco Corrias; Lorenzo Papa; Igor Sokolovic; Viktor Birschitzky; Alexander Gorfer; Martin Setvin; Michael Schmid; Ulrike Diebold; Michele Reticcioli; Cesare Franchini (Mach. Learn. Sci. Technol., 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)

PMDI: An AI-Enabled Ecosystem for Cooperative Urban Mobility. - William Fornaciari; Giovanni Agosta; Massimo Fioravanti; Paolo Giuseppetti; Alessandro Solinas; Luigi Gallo; Manuel Pernigotto; Mario Pedol; Francesco Pro; Irene Amerini; Lorenzo Papa; Luca Maiano; et al. (SAMOS, 2024)

Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction. - Claudia Melis Tonti; Lorenzo Papa; Irene Amerini (IEEE Computer Graphics and Applications, 2024)

On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation. - Lorenzo Papa; Alessandro Sebastianelli; Gabriele Meoni; Irene Amerini (CoRR, 2024)

Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization. - Corrado Coppola; Lorenzo Papa; Irene Amerini; Laura Palagi (CoRR, 2024)

Estimating optical flow: A comprehensive review of the state of the art. - Andrea Alfarano; Luca Maiano; Lorenzo Papa; Irene Amerini (Comput. Vis. Image Underst., 2024)

Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images. - Luca Maiano; Alexandra Benova; Lorenzo Papa; Mara Stockner; Michela Marchetti; Gianmarco Convertino; Giuliana Mazzoni; Irene Amerini (IEEE Secur. Priv., 2024)

A guided-based approach for deepfake detection: RGB-depth integration via features fusion. - Giorgio Leporoni; Luca Maiano; Lorenzo Papa; Irene Amerini (Pattern Recognit. Lett., 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)

Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation. - Emanuele Mule; Matteo Pannacci; Ali Ghasemi Goudarzi; Francesco Pro; Lorenzo Papa; Luca Maiano; Irene Amerini (WACV (Workshops), 2025)

Efficiency in Deep Learning: from theoretical foundations to real-world applications. - Lorenzo Papa (2025)