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个人简介
Pooya Fayyazsanavi received the Master of Science (M.S.) degree in computer science from George Mason University, where he is currently pursuing the Ph.D. degree in computer science. He acquired a strong foundation in the field with George Mason University. He is also an accomplished Computer Vision Scientist with a proven track record in the research industry. His research interests include computer vision, robotics, and data mining applications, he possesses expertise in human pose estimation, self-supervised learning, object pose estimation, and navigation. He is also actively engaged in the development of self-supervised-based models in deep learning, pushing the boundaries of the field, and exploring the potential of unlabeled data. His extensive knowledge of computer vision tasks, coupled with a commitment to rigorous research methodologies, has led to significant contributions to academic publications and presentations at conferences.
研究兴趣
论文共 7 篇作者统计合作学者相似作者
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2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (2023): 1120-1130
IEEE ACCESS (2023): 137621-137659
CoRR (2023): 3562-3570
Adv. Artif. Intell. Mach. Learn.no. 4 (2022): 588-613
作者统计
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