Scholar
Mamshad Nayeem Rizve
Google Scholar ID: kA8ZM5oAAAAJ
Adobe
Citations & Impact
Citations
1,945
H-index
15
i10-index
15
Publications
20
Co-authors
38
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as CVPR 2024, ICLR 2024, ICCV 2023; granted a patent for real-time spatio-temporal activity detection from untrimmed videos.
Research Experience
- Postdoctoral Scientist at Amazon Search Science & AI, working at the intersection of video understanding and large language models. Summer internships at Microsoft and Aurora.
Education
- Ph.D. from the Center for Research in Computer Vision, UCF, advised by Prof. Mubarak Shah.
Background
- Broad interest in various topics in computer vision and machine learning, with a primary focus on semi-supervised learning, few-shot learning, and self-supervised learning. Also worked on activity detection, temporal action localization, learning with noisy labels, and multi-modal learning.
Miscellany
- Contact information: Email, CV, Google Scholar, Twitter, LinkedIn, GitHub
