Pubblicazioni di Papa Lorenzo
2025
Siciliano Federico, Maiano Luca, Papa Lorenzo, Baccini Federica, Amerini Irene, Silvestri Fabrizio
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it. Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2025: 525-530
Fornaciari W., Agosta G., Fioravanti M., Giuseppetti P., Solinas A., Gallo L., Pernigotto M., Pedol M., Pro F., Amerini I., Papa L., Maiano L., Trovini G., Di Giamberardino M., Satta P.
PMDI: An AI-Enabled Ecosystem for Cooperative Urban Mobility. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025: 231-246
2024
Leporoni G., Maiano L., Papa L., Amerini I.
A guided-based approach for deepfake detection: RGB-depth integration via features fusion. PATTERN RECOGNITION LETTERS 2024: 99-105
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
Ciocci Ilaria, Coppola Corrado, Palagi Laura, Papa Lorenzo
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
Alfarano A., Maiano L., Papa L., Amerini I.
Estimating optical flow: A comprehensive review of the state of the art. COMPUTER VISION AND IMAGE UNDERSTANDING 2024: -
Maiano L., Benova A., Papa L., Stockner M., Marchetti M., Convertino G., Mazzoni G., Amerini I.
Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images. IEEE SECURITY & PRIVACY 2024: 77-86
Tonti C. M., Papa L., Amerini I.
Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction. IEEE COMPUTER GRAPHICS AND APPLICATIONS 2024: 1-14
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
Coppola Corrado, Papa Lorenzo, Boresta Marco, Amerini Irene, Palagi Laura
2023
Bonaventura Tania Sari, Maiano Luca, Papa Lorenzo, Amerini Irene
An Automated Ground-to-Aerial Viewpoint Localization for Content Verification. 24th International Conference on Digital Signal Processing (DSP), Rhodes (Rodos), Greece, 2023 2023: -5
Maiano L., Papa L., Vocaj K., Amerini I.
DepthFake: A Depth-Based Strategy for Detecting Deepfake Videos. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023: 17-31
Stockner Mara, Marchetti Michela, Papa Lorenzo, Maiano Luca, Convertino Gianmarco, Amerini Irene
INTELLIGENZA ARTIFICIALE E RICONOSCIMENTO DI VOLTI. ATTI DEL XXIX CONGRESSO AIP 2023: -
Papa Lorenzo, PROIETTI MATTIA Gabriele, Russo Paolo, Amerini Irene, Beraldi Roberto
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
Papa Lorenzo, Faiella Lorenzo, Corvitto Luca, Maiano Luca, Amerini Irene
On the use of Stable Diffusion for creating realistic faces: from generation to detection. 11th International Workshop on Biometrics and Forensics (IWBF) 2023: -6
2022
Maiano Luca, Papa Lorenzo, Vocaj Ketbjano, Amerini Irene
DepthFake: a depth-based strategy for detecting Deepfake videos. ICPR 2022 Workshop on Artificial Intelligence for Multimedia Forensics and Disinformation Detection 2022: -
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