Srinath Sridhar I am an assistant professor of computer science at Brown University. My research interests lie primarily in 3D computer vision and machine learning including applications in robotics, computer graphics, and human–computer interaction.

My particular research focus is on visual understanding of human physical interactions. I create 3D spatiotemporal learning methods that provide human-centric, object-centric, and interaction-centric understanding of our world from videos and images. My research has broad applications, for instance in building smarter robots, and more immersive virtual/augmented realities.

I am looking for motivated PhD students to join my group, please reach out if you are interested. If you are already at Brown, please fill out this form.

I was previously a postdoctoral researcher at Stanford University working with Leonidas Guibas in the Geometric Computing Group. 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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