Fereshteh Forghani
Toronto, Ontario, CA
I am currently a Computer Science Master's student at York University under the supervision of Dr. Marcus Brubaker. My research interests lie at the intersection of 3D Computer Vision, Generative Models and Deep Learning. I am currently focused on addressing Generative Novel View Synthesis (GNVS) problems such as multi-view NVS and monocular scale ambiguity.
Previously, I did my Bachelor's at Sharif University of Technology, majoring in Computer Engineering. My thesis was on using self-supervised learning methods (SimCLR, MoCo, and SimSiam) in cell segmentation.
News
Happy to announce the following paper accepted at ECCV 2024:
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis by Jason Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis and Marcus A. Brubaker.
I participated in DLRL summer school at Mila.
I joined Computational Vision and Imaging Lab as a Research Assistant.
I accepted the VISTA Masters scholarship at York University.
I accepted the Vector Scholarship in Artificial Intelligence.
I got accepted to York University Masters of Applied Science program.
I successfully defended my Bachelor of Science Thesis: Using Self-supervised Learning Methods for Cell Segmentation.
I started a new role as a remote intern at Visual Intelligence for Transportation (VITA) Lab under supervision of Prof. Alexandre Alahi.