PAPA, LORENZO
PAPA, LORENZO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A guided-based approach for deepfake detection: RGB-depth integration via features fusion
2024 Leporoni, G.; Maiano, L.; Papa, L.; Amerini, I.
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking
2024 Papa, L.; Russo, P.; Amerini, I.; Zhou, L.
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it
2025 Siciliano, Federico; Maiano, Luca; Papa, Lorenzo; Baccini, Federica; Amerini, Irene; Silvestri, Fabrizio
An Automated Ground-to-Aerial Viewpoint Localization for Content Verification
2023 Bonaventura, Tania Sari; Maiano, Luca; Papa, Lorenzo; Amerini, Irene
Block Layer decomposition applied to a watchdog controlled minibatch algorithm
2024 Ciocci, Ilaria; Coppola, Corrado; Palagi, Laura; Papa, Lorenzo
Computational issues in Optimization for Deep networks
2022 Coppola, Corrado; Papa, Lorenzo; Boresta, Marco; Amerini, Irene; Palagi, Laura
D4D: An RGBD diffusion model to boost monocular depth estimation
2024 Papa, Lorenzo; Russo, Paolo; Amerini, Irene
DepthFake: a depth-based strategy for detecting Deepfake videos
2022 Maiano, Luca; Papa, Lorenzo; Vocaj, Ketbjano; Amerini, Irene
DepthFake: A Depth-Based Strategy for Detecting Deepfake Videos
2023 Maiano, L.; Papa, L.; Vocaj, K.; Amerini, I.
Estimating optical flow: A comprehensive review of the state of the art
2024 Alfarano, A.; Maiano, L.; Papa, L.; Amerini, I.
Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images
2024 Maiano, L.; Benova, A.; Papa, L.; Stockner, M.; Marchetti, M.; Convertino, G.; Mazzoni, G.; Amerini, I.
INTELLIGENZA ARTIFICIALE E RICONOSCIMENTO DI VOLTI
2023 Stockner, Mara; Marchetti, Michela; Papa, Lorenzo; Maiano, Luca; Convertino, Gianmarco; Amerini, Irene
Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction
2024 MELIS TONTI, Claudia; Papa, L.; Amerini, I.
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios
2023 Papa, Lorenzo; Mattia, Gabriele; Russo, Paolo; Amerini, Irene; Beraldi, Roberto
METER: a mobile vision transformer architecture for monocular depth estimation
2023 Papa, Lorenzo; Russo, Paolo; Amerini, Irene
On the use of Stable Diffusion for creating realistic faces: from generation to detection
2023 Papa, Lorenzo; Faiella, Lorenzo; Corvitto, Luca; Maiano, Luca; Amerini, Irene
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task
2024 Schiavella, C.; Cirillo, L.; Papa, L.; Russo, P.; Amerini, I.
Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios
2022 Papa, Lorenzo; Russo, Paolo; Amerini, Irene
SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
2022 Papa, Lorenzo; Alati, Edoardo; Russo, Paolo; Amerini, Irene