Mohammad Pezeshki

3 papers and 56 indexed citations i.

Mohammad Pezeshki is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Mohammad Pezeshki has authored 3 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Mohammad Pezeshki’s work include Advanced Image and Video Retrieval Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Mohammad Pezeshki is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Mohammad Pezeshki collaborates with scholars based in Canada, United States and Iran. Mohammad Pezeshki's co-authors include Yoshua Bengio, Aaron Courville, Philémon Brakel, Linxi Fan, János Kramár, Nan Rosemary Ke, Tegan Maharaj, Anirudh Goyal, Christopher Pal and David Krueger and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Machine Learning.