Kyle Sargent

I am a researcher at OpenAI. I work on post-training, focusing on improving multimodal reasoning and perception capabilities.

I received my PhD in CS at Stanford, working in the Stanford AI Lab, advised by Fei-Fei Li and Jiajun Wu.

I received my A.B. from Harvard, where I studied CS and math.

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Research

My research interests are in computer vision. While my current focus is visual and multimodal reasoning and perception, I have worked on a wide variety of topics in computer vision:

• Visual tokenization techniques to compress visual data effectively and learn interesting representations, such as in FlowMo and VLIC.


• Adding 3D controls to large generative models such as in my CVPR 2024 paper ZeroNVS, or my ICCV 2023 first-authored Best Paper Finalist, VQ3D.


• Visual robustness techniques such as my CVPR 2022 co-first-authored Best Paper Finalist, Pyramid Adversarial Training.

Check out my papers!