Mohamed Elhoseiny

39 papers and 1.0k indexed citations i.

Mohamed Elhoseiny has authored 39 papers that have received a total of 1.0k indexed citations. This includes 32 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. The topics of these papers are Multimodal Machine Learning Applications (23 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 (23 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, Deyao Zhu and Boyang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.