Tanzila Rahman is a postdoctoral fellow at the Vector Institute, collaborating with Leonid Sigal and Renjie Liao. Her research primarily focuses on multimodal learning and generative modeling. She is also interested in the application of machine learning models with limited data. She earned her Ph.D. in Computer Science from the University of British Columbia, where she also interned at AmazonGo and Snap Research. Before that, she completed her M.Sc. in Computer Science at the University of Manitoba.
Research Interests
- Computer Vision
- Multimodal deep learning
- Generative Modeling
Highlights
- Published in Top-tired venues including CVPR, NeurIPS, ICCV.
- President’s Academic Excellence Initiative Ph.D. Award, 2020-2024
- Amazon Go Fellowship, 2019
- Manitoba Graduate Scholarship (MGS), 2016-2018
- University of Manitoba Graduate Fellowship (UMGF), 2016-2018.