From the 6 of 112 papers with an AI index.
37 citations
- Federico Giannini5 · h 5
- Emanuele Della Valle3 profiles4 · h 33
- Stefano Longhi3 profiles4 · h 7
- Valeria Russo2 profiles4 · h 4
- C. Casari3 · h 42
- C. Pillet3 · h 33
- E. Santos3 profiles3 · h 53
- Giacomo Ziffer3 · h 5
- Himanshu Gupta3 profiles3 · h 10
- Micah Carroll2 profiles3 · h 15
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- M. Zavrtanik2 profiles3 · h 53
- Centre National de la Recherche ScientifiqueFR9 papers
- University of MilanIT8 papers
- ETH ZurichCH6 papers
- Institute for Cross-Disciplinary Physics and Complex SystemsES5 papers
- University of PaduaIT5 papers
- Beihang UniversityCN4 papers
- National Institute for AstrophysicsIT4 papers
- New York UniversityUS4 papers
- Sorbonne UniversitéFR4 papers
- Université Paris-SaclayFR4 papers
- University of PalermoIT4 papers
- Astronomical Observatory of RomeIT3 papers
5 papers · 1 filter
Graph-augmented Segmentation of Complex Shapes in Laser Powder bed Fusion for Enhanced In Situ Inspection
Stefano Raimondo, Matteo Bugatti, Marco Grasso
The technological maturity of in situ inspection and monitoring methods in additive manufacturing is steadily increasing, enabling more efficient and practical qualification proced…
PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Ali Shadman Yazdi, Annalisa Cappella, Benedetta Baldini +4
Manual annotation of anatomical landmarks on 3D facial scans is a time-consuming and expertise-dependent task, yet it remains critical for clinical assessments, morphometric analys…
Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models
Mehrdad Moradi, Marco Grasso, Bianca Maria Colosimo +1
Generative models have demonstrated significant success in anomaly detection and segmentation over the past decade. Recently, diffusion models have emerged as a powerful alternativ…
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno +3
Accurately localizing 3D objects like pedestrians, cyclists, and other vehicles is essential in Autonomous Driving. To ensure high detection performance, Autonomous Vehicles comple…
U-Net-Like Spiking Neural Networks for Single Image Dehazing
Huibin Li, Haoran Liu, Mingzhe Liu +3
Image dehazing is a critical challenge in computer vision, essential for enhancing image clarity in hazy conditions. Traditional methods often rely on atmospheric scattering models…