Lorenzo Papa | Dipartimento di Ingegneria informatica, automatica e gestionale

dottorando

Membro di

Computer Vision, Computer Graphics, Deep Learning

A guided-based approach for deepfake detection: RGB-depth integration via features fusion in PATTERN RECOGNITION LETTERS	2024
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE	2024
D4D: An RGBD diffusion model to boost monocular depth estimation in IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY	2024
Human Versus Machine: A Comparative Analysis in Detecting Artificial Intelligence-Generated Images in IEEE SECURITY & PRIVACY	2024
Lightweight 3-D Convolutional Occupancy Networks for Virtual Object Reconstruction in IEEE COMPUTER GRAPHICS AND APPLICATIONS	2024
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	2024
An Automated Ground-to-Aerial Viewpoint Localization for Content Verification in 24th International Conference on Digital Signal Processing (DSP), Rhodes (Rodos), Greece, 2023	2023