Scholar
Coloma Ballester
Google Scholar ID: fLNi-SoAAAAJ
Universitat Pompeu Fabra, Department of Information and Communication Technologies
Citations & Impact
Citations
3,770
H-index
20
i10-index
30
Publications
20
Co-authors
45
list available
Publications
Resume (English only)
Academic Achievements
- Her current work focuses on theory and applications for the automatic analysis and understanding of visual content, sometimes involving multiple modalities including natural language, audio, and vision. She is interested in both model-based and data-driven strategies for multimodal scene understanding, along with its mathematical analysis. Specific contexts within her recent research interests include sign language translation and production, video understanding and editing tools for media broadcasting and post-production, sports video analysis, film, and visual arts.
Research Experience
- She has pioneering publications in variational methods, geometric models, partial differential equations, non-local approaches, and data-driven learning strategies for imaging. Her contributions include image inpainting, interpolation and disocclusion, image segmentation, shape from texture, object recognition, mathematical morphology, and more.
Background
- Full Professor of Applied Mathematics at the Department of Engineering of the Universitat Pompeu Fabra in Barcelona, where she coordinates the Intelligent Multimodal Vision Analysis (IMVA; previously IPCV image processing and computer vision) research group. Her research has been devoted to the development of models and algorithms for image processing and computer vision and to their mathematical analysis.
Miscellany
- Her research often involves multiple modalities, including natural language, audio, and vision.
