Scholar
Manuel Lagunas
Google Scholar ID: KmsA_NYAAAAJ
Research scientist, Google
Citations & Impact
Citations
264
H-index
8
i10-index
8
Publications
14
Co-authors
25
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - 'Semi-supervised learning and visual transformers for product attribute extraction from e-commerce images', CVPR 2024 Workshops.
- - 'Transfer Learning for Fine-grained Classification Using Semi-supervised Learning and Visual Transformers', CVPR Workshops: LXAI, 2023.
- - 'In-the-wild Material Appearance Editing using Perceptual Attributes', Computer Graphics Forum (CGF, proc. Eurographics), 2023.
- - 'A Generative Framework for Image‐based Editing of Material Appearance using Perceptual Attributes', Computer Graphics Forum (CGF), 2022.
- - Received the Young Researcher Award 2023 from the Scientific Computer Society of Spain (SCIE) and BBVA Foundation.
Research Experience
- Worked as an applied scientist at Amazon in Madrid, developing computer vision and machine learning techniques to solve Amazon's catalog image-based issues.
Education
- PhD from Universidad de Zaragoza, advised by Diego Gutierrez and Belen Masia. PhD thesis: 'Learning Visual Appearance: Perception, Modeling and Editing', defended with Cum Laude (highest grade awarded by the institution).
Background
- Interested in topics at the interface between computer vision and computer graphics, including but not limited to how we can inversely model the world i.e., acquire material properties, light, or geometry from simple input sources (images); or how we can develop faster/more intuitive methods to manipulate digital assets or foster artistic processes.
