PAPA, LORENZO

PAPA, LORENZO  

DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-  

Mostra prodotti
Risultati 1 - 20 di 24 (tempo di esecuzione: 0.048 secondi).
Titolo Data di pubblicazione Autore(i) File
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.
Efficiency in Deep Learning: from theoretical foundations to real-world applications 2025 Papa, Lorenzo
Efficient attention vision transformers for monocular depth estimation on resource-limited hardware 2025 Schiavella, Claudio; Cirillo, Lorenzo; Papa, Lorenzo; Russo, Paolo; Amerini, Irene
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation 2025 Mule, E.; Pannacci, M.; Goudarzi, A. G.; Pro, F.; Papa, L.; Maiano, L.; 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.