Mohamed Elhoseiny
About
Mohamed Elhoseiny has authored 38 papers that have received a total of 995 indexed citations.
This includes 31 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. The topics of these papers are Multimodal Machine Learning Applications (22 papers), Domain Adaptation and Few-Shot Learning (16 papers) and Human Pose and Action Recognition (8 papers). Mohamed Elhoseiny is often cited by papers focused on Multimodal Machine Learning Applications (22 papers), Domain Adaptation and Few-Shot Learning (16 papers) and Human Pose and Action Recognition (8 papers) and collaborates with scholars based in Saudi Arabia, United States and Canada. Mohamed Elhoseiny's co-authors include Ahmed Elgammal, Ivan Skorokhodov, Boyang Li and Marcus Rohrbach and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence
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