Computer Science

简介

Jefersson A. dos Santos is a researcher in computer vision and geospatial AI, currently an Assistant Professor (Lecturer) at the University of Sheffield, United Kingdom. Prior to this, he was an Associate Professor at the Universidade Federal de Minas Gerais (UFMG), Brazil (2013–2022), where he developed research bridging methodological advances in computer vision with real-world applications.He holds active leadership roles in the international research community, serving as Associate Editor for Neurocomputing and the ISPRS Journal of Photogrammetry and Remote Sensing, Co-Chair of the ISPRS Working Group on AI/ML for Geospatial Data, and Vice-President of the IEEE Geoscience and Remote Sensing Society (GRSS) UK & Ireland Chapter.His research has been continuously supported by competitive

代表成果

• Silva MPD, Nunes IM, Dos Santos JA & Oliveira HN (2026) ORDER: Generative Models for Increasing Robustness in Crop Recognition via Anomaly Detection. IEEE Geoscience and Remote Sensing Letters, 1-1.
• Roscher R, Russwurm M, Gevaert C, Kampffmeyer M, Santos JAD, Vakalopoulou M, Hänsch R, Hansen S, Nogueira K, Prexl J & Tuia D (2025) Better, Not Just More: Data-centric machine learning for Earth observation. IEEE Geoscience and Remote Sensing Magazine, 13(3), 512-532.
• da Silva MP, Correa SPLP, Schaefer MAR, Reis JCS, Nunes IM, dos Santos JA & Oliveira HN (2025) Advancing agricultural remote sensing: A comprehensive review of deep supervised and Self-Supervised Learning for crop monitoring. Computers & Graphics, 104434-104434.
• Silva MPD, Vieira L, de Santana CTC, Nunes IM, Dos Santos JA & Oliveira HN (2025) A Lightweight Pipeline for Crop Time-Series Parcel Classification via Self-Supervision. IEEE Geoscience and Remote Sensing Letters, 22, 1-5.
• Valois PHV, Macedo J, Ribeiro LSF, dos Santos JA & Avila S (2025) Leveraging self-supervised learning for scene classification in child sexual abuse imagery. Forensic Science International: Digital Investigation, 53, 301918-301918.
• Monteiro GAA, Monteiro BAA, dos Santos JA & Wittemann A (2025) Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model. Scientific Reports, 15. View this article in WRRO
• Roscher R, Russwurm M, Gevaert C, Kampffmeyer M, Dos Santos JA, Vakalopoulou M, Hänsch R, Hansen S, Nogueira K, Prexl J & Tuia D (2024) Better, Not Just More: Data-centric machine learning for Earth observation. IEEE Geoscience and Remote Sensing Magazine, 12(4), 335-355.
• Rodrigues CN, Nunes IM, Pereira MB, Oliveira H & dos Santos JA (2024) From superpixels to foundational models: An overview of unsupervised and generalizable image segmentation. Computers & Graphics, 123, 104014-104014.
• Laranjeira C, Pereira M, Oliveira R, Barbosa G, Fernandes C, Bermudi P, Resende E, Fernandes E, Nogueira K, Andrade V , Quintanilha J et al (2024) Automatic mapping of high-risk urban areas for Aedes aegypti infestation based on building facade image analysis. PLOS Neglected Tropical Diseases, 18(6). View this article in WRRO
• Nunes IM, Pereira MB, Oliveira H & Santos JAD (2024) FuSC: fusing superpixels for improved semantic consistency. IEEE Access, 12, 20232-20250. View this article in WRRO