Mohamed Eltayeb

بعد أكاديمية كاوست

Mohamed is an AI researcher at KAUST and earned the Kaggle Competitions Master title in December 2024. In 2026, Mohamed had a paper accepted at NeurIPS and mentored about 20 students at the KAUST Academy AI Summer School.

المشروع الصيفي

تخصص الذكاء الاصطناعي · دفعة 2024

Zero-Shot Multimodal Video Querying with Adaptive Candidates Ranking

Video content retrieval involves searching and extracting relevant video sections based on user queries. We introduce a multimodal video querying system that integrates text and image data to improve accuracy and efficiency. The system uses dynamic candidates generation and ranking techniques to improve response accuracy in zero-shot scenarios, where models haven’t been trained on specific datasets. Our system has set a new state-of-the-art benchmark on YouCook2 benchmark dataset.

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اطّلع عليه في تقرير البرنامج (PDF)

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