Mohammed Al Qurayshah

After KAUST Academy

Mohammed works at SAL Saudi Logistics Services. In November 2024, Mohammed earned the IBM Data Fundamentals certificate.

Summer project

Artificial Intelligence Specialization · Cohort 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.

Read the final report (PDF)

See it in the program report (PDF)

With KAUST Academy

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