Saeid Motiian

9 papers and 542 indexed citations i.

Saeid Motiian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Saeid Motiian has authored 9 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Saeid Motiian’s work include Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Saeid Motiian is often cited by papers focused on Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Saeid Motiian collaborates with scholars based in United States and United Kingdom. Saeid Motiian's co-authors include Gianfranco Doretto, Paola Pergami, Ladislau Bölöni, Ratheesh Kalarot and Andrew Gilbert and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology and BioMedical Engineering OnLine.