Felix Yu

I am a 2nd year PhD student in Computer Science at Princeton University, working in the Visual AI lab with Olga Russakovsky as my advisor. My research lies in the domain of computer vision, with a focus on video understanding. Prior to my current position, I have participated in research projects in fields ranging broadly from computational genomics to vision. I am also interested in the space of fairness and representation in artificial intelligence.

I received my undergraduate degree from Johns Hopkins University, where I double majored in Biomedical Engineering as well as Computer Science, studying the computational biology track. I have also spent a summer interning at Facebook.

CV  /  Email  /  Google Scholar  /  Github  /  LinkedIn

profile photo

May 2020: Our paper "Take the Scenic Route" has been accepted to CVPR 2020 Visual Learning with Limited Labels Workshop as an oral presentation.
May 2020: Passed the general examination to officially become a Ph.D. candidate!

Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky
Visual Learning with Limited Labels Workshop, CVPR 2020   (Oral)
arxiv / code

Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies
Ethan Tseng*, Felix Yu*, Yuting Yang, Fahim Mannan, Karl St. Arnaud, Derek Nowrouzezahrai, Jean Francois Lalonde, Felix Heide
PDF / website

Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques
Felix Yu, Felix Yu, Gianluca Silva Croso, Tae Soo Kim, Ziang Song, Felix Parker, Gregory D. Hager, Austin Reiter, S. Swaroop Vedula, Haider Ali, Shameema Sikder
JAMA Network Open 2019  

Lead Research Instructor of Princeton AI4ALL Summer Camp, Summer 2019
Head teaching assistant of Princeton's COS429 - Computer Vision, Fall 2019

Website template taken from Jon Barron.