معرفی
David Menotti is a prominent researcher in computer vision and machine learning, with a focus on biometrics, license plate recognition, and video analysis. He has collaborated extensively with institutions and researchers globally, contributing to over 171 publications between 2003-2025.
- Key research areas include face recognition, synthetic data generation, and zero-shot learning
- Major contributions in license plate super-resolution, sign language translation, and ocular biometrics
- Active in organizing competitions like FRCSyn and OCFR to advance synthetic data applications
His work often combines diffusion models, CNN architectures, and multimodal approaches to solve real-world problems in unconstrained environments. Notable recent projects involve enhancing face recognition with synthetic data, vehicle color recognition under adverse conditions, and Libras-to-Portuguese translation.
Menotti's publications appear in journals like Information Fusion, IEEE Access, and conferences including CVPR, SIBGRAPI, and IJCNN. He frequently collaborates with researchers such as Rayson Laroca, William Robson Schwartz, and Pedro Vidal.