Multimodal learning

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Toward-Robust-Multimodal-Egocentric

Toward Robust Multimodal Egocentric Video Understanding

Merey Ramazanova, Ph.D. Student, Computer Science

Jul 28, 17:00 - 17:45

B4 L5 R5209; Zoom Meeting 92591807769

egocentric video Multimodal learning robust modeling

This thesis advances egocentric video understanding through multimodal learning, large-scale dataset development, and robust adaptation techniques; it introduces new models, benchmarks, and methods for building scalable, resilient perception systems that operate effectively in real-world, first-person environments.

Andres Villa

Postdoctoral Research Fellow

Continual Learning Multimodal learning Visual Language Models AI4Science Action understanding

Andres Villa is a Postdoctoral Fellow in the IVUL lab at King Abdullah University of Science and Technology (KAUST), focusing on AI for Science, Continual Learning, Visual Language Models, and Action Understanding.