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ORCIDLorenzo Papa
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2020 – today
- 2024
[j10]Claudia Melis Tonti
, Lorenzo Papa, Irene Amerini:
Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction. IEEE Computer Graphics and Applications 44(2): 23-36 (2024)- [j9]Andrea Alfarano, Luca Maiano, Lorenzo Papa, Irene Amerini:
Estimating optical flow: A comprehensive review of the state of the art. Comput. Vis. Image Underst. 249: 104160 (2024) - [j8]Luca Maiano, Alexandra Benova, Lorenzo Papa, Mara Stockner, Michela Marchetti, Gianmarco Convertino, Giuliana Mazzoni, Irene Amerini:
Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images. IEEE Secur. Priv. 22(3): 77-86 (2024) - [j7]Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou:
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7682-7700 (2024) - [j6]Giorgio Leporoni, Luca Maiano, Lorenzo Papa, Irene Amerini:
A guided-based approach for deepfake detection: RGB-depth integration via features fusion. Pattern Recognit. Lett. 181: 99-105 (2024) - [j5]Lorenzo Papa, Paolo Russo, Irene Amerini:
D4D: An RGBD Diffusion Model to Boost Monocular Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9852-9865 (2024) - [i8]Lorenzo Papa, Paolo Russo, Irene Amerini:
D4D: An RGBD diffusion model to boost monocular depth estimation. CoRR abs/2403.07516 (2024) - [i7]Lorenzo Papa, Paolo Russo, Irene Amerini:
METER: a mobile vision transformer architecture for monocular depth estimation. CoRR abs/2403.08368 (2024) - [i6]Lorenzo Papa, Alessandro Sebastianelli, Gabriele Meoni, Irene Amerini:
On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation. CoRR abs/2410.08677 (2024) - [i5]Corrado Coppola, Lorenzo Papa, Irene Amerini, Laura Palagi:
Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization. CoRR abs/2411.15795 (2024) - 2023
- [j4]Marco Corrias, Lorenzo Papa, Igor Sokolovic, Viktor Birschitzky, Alexander Gorfer, Martin Setvin, Michael Schmid, Ulrike Diebold, Michele Reticcioli, Cesare Franchini:
Automated real-space lattice extraction for atomic force microscopy images. Mach. Learn. Sci. Technol. 4(1): 15015 (2023) - [j3]Lorenzo Papa, Gabriele Proietti Mattia, Paolo Russo, Irene Amerini, Roberto Beraldi:
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. Sensors 23(4): 2223 (2023) - [j2]Lorenzo Papa, Paolo Russo, Irene Amerini:
METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5882-5893 (2023) - [c6]Tania Sari Bonaventura, Luca Maiano, Lorenzo Papa, Irene Amerini:
An Automated Ground-to-Aerial Viewpoint Localization for Content Verification. DSP 2023: 1-5 - [c5]Claudio Schiavella, Lorenzo Cirillo, Lorenzo Papa, Paolo Russo, Irene Amerini:
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task. ICIAP Workshops (1) 2023: 383-394 - [c4]Lorenzo Papa, Lorenzo Faiella, Luca Corvitto, Luca Maiano, Irene Amerini:
On the use of Stable Diffusion for creating realistic faces: from generation to detection. IWBF 2023: 1-6 - [c3]Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri:
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it. PKDD/ECML Workshops (2) 2023: 525-530 - [i4]Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou:
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking. CoRR abs/2309.02031 (2023) - [i3]Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa, Irene Amerini, Bertrand Le Saux:
Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection. CoRR abs/2311.06222 (2023) - [i2]Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri:
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It. CoRR abs/2312.15228 (2023) - 2022
- [j1]Lorenzo Papa, Edoardo Alati, Paolo Russo, Irene Amerini:
SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings. IEEE Access 10: 44881-44890 (2022) - [c2]Luca Maiano, Lorenzo Papa, Ketbjano Vocaj, Irene Amerini:
DepthFake: A Depth-Based Strategy for Detecting Deepfake Videos. ICPR Workshops (4) 2022: 17-31 - [i1]Luca Maiano, Lorenzo Papa, Ketbjano Vocaj, Irene Amerini:
DepthFake: a depth-based strategy for detecting Deepfake videos. CoRR abs/2208.11074 (2022)
2010 – 2019
- 2017
- [c1]Baris Serim, Luca Chech, Marta Vasilieva, Lorenzo Papa, Luciano Gamberini, Giulio Jacucci:
Exploring gaze-adaptive features for interacting with multi-document visualizations. VINCI 2017: 85-92
Coauthor Index
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