About Fatimah Zohra Fatimah Zohra Ph.D. Student, Computer Science vision language models Computer Vision Vision Foundation Models image and video processing Fatimah Zohra is a Ph.D. candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. Bernard Ghanem, where her research focuses on fine-grained visual representation learning for vision-language and video models through sparse selection of localized features. Events Presented Events Oct 18 - Oct 24, 2026 Fine-Grained Visual Representations through Sparse Selection of Localized Features Fatimah Zohra, Ph.D. Student, Computer Science Oct 19, 19:00 - 20:00 B1 R2202 vision transformer implicit neural representation spatio-temporal modeling Vision Foundation Models visual computing This thesis studies and develops sparse localized feature selection techniques for vision transformer (ViT) models to improve representation of fine-grained visual details across images and videos to capture fine-grained spatial and temporal structure that are often lost in global representations of current ViT foundation models.
Fine-Grained Visual Representations through Sparse Selection of Localized Features Fatimah Zohra, Ph.D. Student, Computer Science Oct 19, 19:00 - 20:00 B1 R2202 vision transformer implicit neural representation spatio-temporal modeling Vision Foundation Models visual computing This thesis studies and develops sparse localized feature selection techniques for vision transformer (ViT) models to improve representation of fine-grained visual details across images and videos to capture fine-grained spatial and temporal structure that are often lost in global representations of current ViT foundation models.
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