Hashem Almubarak

بعد أكاديمية كاوست

Hashem is an AI Engineer at SiFi, building agentic AI and fraud detection. Hashem completed the SDAIA and University of Oxford AI program in 2025 as one of 30 participants chosen, earned the AWS Certified Solutions Architect Associate in April 2026, and led a team to the final round of the AMAD Hackathon v2 in July 2026.

المشروع الصيفي

تخصص الذكاء الاصطناعي · دفعة 2024

Enhancing Video Frame Interpolation: A Depth-Aware UNet with Residual and Attention Mechanisms

Video frame interpolation (VFI) generates intermediate frames to improve video quality and smooth motion. We introduce a Depth-Aware UNet model that enhances VFI through residual and attention blocks, improving feature extraction and focusing on critical areas of frames. The model's encoder-decoder architecture, featuring five convolutional layers to captures higher-level features to achieve a thorough understanding of depth. Our method focuses on leveraging depth information and highlighting key areas to generate more precise and visually coherent interpolation results.

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