Lorenzo Papa

According to our database, Lorenzo Papa authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

METER: a mobile vision transformer architecture for monocular depth estimation.

Lorenzo Papa, P. Russo, Irene Amerini

CoRR, 2024

D4D: An RGBD diffusion model to boost monocular depth estimation.

Lorenzo Papa, P. Russo, Irene Amerini

CoRR, 2024

Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction.

Claudia Melis Tonti, Lorenzo Papa, Irene Amerini

IEEE Computer Graphics and Applications, 2024

2023

METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation.

Lorenzo Papa, Paolo Russo, Irene Amerini

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Automated real-space lattice extraction for atomic force microscopy images.

Marco Corrias, Lorenzo Papa, Igor Sokolovic, Viktor Birschitzky, Alexander Gorfer, Martin Setvin, Michael Schmid, Ulrike Diebold, Michele Reticcioli, Cesare Franchini

Mach. Learn. Sci. Technol., March, 2023

Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios.

Lorenzo Papa, Gabriele Proietti Mattia, Paolo Russo, Irene Amerini, Roberto Beraldi

Sensors, February, 2023

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It.

Federico Siciliano, Luca Maiano, Lorenzo Papa, Federica Baccini, Irene Amerini, Fabrizio Silvestri

CoRR, 2023

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection.

Fulvio Sanguigni, Mikolaj Czerkawski, Lorenzo Papa, Irene Amerini, Bertrand Le Saux

CoRR, 2023

A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking.

Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou

CoRR, 2023

On the use of Stable Diffusion for creating realistic faces: from generation to detection.

Lorenzo Papa, Lorenzo Faiella, Luca Corvitto, Luca Maiano, Irene Amerini

Proceedings of the 11th International Workshop on Biometrics and Forensics, 2023

Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task.

Claudio Schiavella, Lorenzo Cirillo, Lorenzo Papa, Paolo Russo, Irene Amerini

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

An Automated Ground-to-Aerial Viewpoint Localization for Content Verification.

Tania Sari Bonaventura, Luca Maiano, Lorenzo Papa, Irene Amerini

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2022

SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings.

Lorenzo Papa, Edoardo Alati, Paolo Russo, Irene Amerini

IEEE Access, 2022

DepthFake: A Depth-Based Strategy for Detecting Deepfake Videos.

Luca Maiano, Lorenzo Papa, Ketbjano Vocaj, Irene Amerini

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2017

Exploring gaze-adaptive features for interacting with multi-document visualizations.

Baris Serim, Luca Chech, Marta Vasilieva, Lorenzo Papa, Luciano Gamberini, Giulio Jacucci

Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017