Saeid Motiian

22 total papers · 665 total citations
7 papers, 106 citations indexed

Saeid Motiian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Saeid Motiian has authored 7 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Saeid Motiian’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Human Pose and Action Recognition (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Saeid Motiian is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Human Pose and Action Recognition (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Saeid Motiian collaborates with scholars based in United States and United Kingdom. Saeid Motiian's co-authors include Gianfranco Doretto, Seyed Mehdi Iranmanesh, Quinn Jones, Paola Pergami, Corrie A. Mancinelli, Wei-An Lin, Ladislau Bölöni, Ratheesh Kalarot, Zhe Lin and John Collomosse and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, BioMedical Engineering OnLine and Audiology Research.