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Lorenzo Papa
Lorenzo Papa
Verified email at diag.uniroma1.it
Title
Cited by
Cited by
Year
Speed: Separable pyramidal pooling encoder-decoder for real-time monocular depth estimation on low-resource settings
L Papa, E Alati, P Russo, I Amerini
IEEE Access 10, 44881-44890, 2022
102022
METER: a mobile vision transformer architecture for monocular depth estimation
L Papa, P Russo, I Amerini
IEEE Transactions on Circuits and Systems for Video Technology, 2023
72023
Depthfake: a depth-based strategy for detecting deepfake videos
L Maiano, L Papa, K Vocaj, I Amerini
International Conference on Pattern Recognition, 17-31, 2022
62022
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
L Papa, P Russo, I Amerini, L Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
52024
On the use of Stable Diffusion for creating realistic faces: from generation to detection
L Papa, L Faiella, L Corvitto, L Maiano, I Amerini
2023 11th International Workshop on Biometrics and Forensics (IWBF), 1-6, 2023
52023
Lightweight and energy-aware monocular depth estimation models for IoT embedded devices: challenges and performances in terrestrial and underwater scenarios
L Papa, G Proietti Mattia, P Russo, I Amerini, R Beraldi
Sensors 23 (4), 2223, 2023
32023
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
F Sanguigni, M Czerkawski, L Papa, I Amerini, BL Saux
arXiv preprint arXiv:2311.06222, 2023
22023
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
F Siciliano, L Maiano, L Papa, F Baccini, I Amerini, F Silvestri
arXiv preprint arXiv:2312.15228, 2023
12023
An Automated Ground-to-Aerial Viewpoint Localization for Content Verification
TS Bonaventura, L Maiano, L Papa, I Amerini
2023 24th International Conference on Digital Signal Processing (DSP), 1-5, 2023
12023
Real-time monocular depth estimation on embedded devices: Challenges and performances in terrestrial and underwater scenarios
L Papa, P Russo, I Amerini
2022 IEEE International Workshop on Metrology for the Sea; Learning to …, 2022
12022
A guided-based approach for deepfake detection: RGB-depth integration via features fusion
G Leporoni, L Maiano, L Papa, I Amerini
Pattern Recognition Letters 181, 99-105, 2024
2024
D4D: An RGBD diffusion model to boost monocular depth estimation
L Papa, P Russo, I Amerini
arXiv preprint arXiv:2403.07516, 2024
2024
Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction
CM Tonti, L Papa, I Amerini
IEEE Computer Graphics and Applications, 2024
2024
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task
C Schiavella, L Cirillo, L Papa, P Russo, I Amerini
International Conference on Image Analysis and Processing, 383-394, 2023
2023
INTELLIGENZA ARTIFICIALE E RICONOSCIMENTO DI VOLTI
M Stockner, M Marchetti, L Papa, L Maiano, G Convertino, I Amerini
ATTI DEL XXIX CONGRESSO AIP, 2023
2023
Computational issues in Optimization for Deep networks
C Coppola, L Papa, M Boresta, I Amerini, L Palagi
2022
Estimating Optical Flow: A Comprehensive Review of the State of the Art
A Alfarano, L Maiano, L Papa, I Amerini
Available at SSRN 4768675, 0
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