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video-language grounding

Towards Scalable and Efficient Semantic Video Search

Mattia Soldan, Ph.D., Electrical and Computer Engineering
Jul 13, 18:00 - 19:00

B4 L5 R5209

video-language grounding semantic video retrieval multimodal alignment

This dissertation advances fine-grained, content-aware video retrieval by developing novel models and frameworks for Video-Language Grounding, enabling accurate alignment between natural language queries and specific temporal segments in unstructured video content.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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