From 3D Perception to 4D Simulation

I am a third year PhD student working on Computer Vision at Carnegie Mellon University. My current work with the Center for Autonomous Vehicle Research focuses on building robust 3D perception algorithms for detection, tracking, forecasting, planning, and simulation. I am supported in part by a NSF Graduate Research Fellowship.

I am advised by Deva Ramanan at the Robotics Institute and frequently collaborate with Shu Kong, James Hays, and Laura Leal-Taixe. As an undergraduate at the University of Maryland, I was involved in research under the guidance of Rama Chellappa and John Dickerson.

Formal Biography

Neehar Peri is a third-year Robotics Ph.D. student at Carnegie Mellon University, advised by Deva Ramanan. He is broadly interested in computer vision and machine learning, with applications to robot perception and action. His work has been published at conferences including CVPR, ICCV, ECCV, NeurIPS, ICLR, and CoRL. He graduated from the University of Maryland in 2021 with a Bachelor’s degree in Computer Engineering. He was awarded the Sujan Guha Memorial best senior thesis, and was recognized as a Maryland Undergraduate Researcher of the Year. His work is supported in part by a NSF Graduate Research Fellowship.

Neehar Peri

From 3D Perception to 4D Simulation

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