Srinath Sridhar I am a postdoctoral researcher at Stanford University working with Leonidas Guibas in the Geometric Computing Group. My research interests lie primarily in 3D computer vision and machine learning including overlapping topics in robotics, computer graphics, and human–computer interaction.

I will be joining Brown University as an assistant professor of computer science in Fall 2020. I am looking for motivated PhD students to join my group, please reach out if you are interested.

The goal of my research is to learn to digitize human physical interactions from visual data so we can build smarter robots, and more immersive virtual/augmented realities. I develop 3D spatio-temporal machine learning methods that provide human-centric, object-centric, and interaction-centric understanding of our world from videos and images.

I obtained my PhD at the Max Planck Institute for Informatics in 2016 where I was advised by Christian Theobalt and Antti Oulasvirta. In my PhD thesis, I investigated computer vision and interaction problems in gesture-based computer input. In the past, I have spent time at Microsoft Research Redmond (with Shahram Izadi), at the University of Michigan, Ann Arbor (with Vineet Kamat), at the Honda Research Institute (with Victor Ng-Thow-Hing), and at the College of Engineering Guindy, Anna University.

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ssrinath@cs.stanford.edu


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