Stefan Stojanov
stojanov@stanford.edu
I am an applied scientist at Amazon, where I work on video understanding.
Previously I was a postdoctoral researcher in the Stanford Vision and Learning Lab and Stanford NeuroAILab, advised by Jiajun Wu and Dan Yamins. At Stanford, I worked on developing video foundation models and fine-grained object representations. I was fortunate to be supported by a fellowship from Stanford HAI. I received my PhD at the Georgia Institute of Technology advised by James Rehg, where I worked on continual, self-supervised and low-shot learning, and 3D object shape reconstruction.
My main research interests are in computer vision and machine learning. I focus on the intersection of 3D vision, self-supervision, data synthesis, and video-based learning. My work explores how these areas can complement each other to develop systems capable of efficiently learning rich, granular representations of the physical world.
