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 computer vision with broad applications in human–computer interaction and robotics.

The goal of my research is to digitize human physical interactions and manual skills from visual data so we can build more immersive virtual/augmented realities, and smarter robots. I develop methods that provide 3D human-centric, object-centric, and interaction-centric understanding of our world from videos and images. Please see the research tab for more details.

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 key 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 (working 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


Updates

  • [ Sep-2019 ]: Paper on 3D reconstruction of objects from one or more views accepted to NeurIPS 2019. Paper on predicting dynamics accepted to WACV 2020.
  • [ Jun-2019 ]: Watch the interview we did for our CVPR 2019 paper.
  • [ May-2019 ]: Our paper on learning to generate human-object interactions was awarded an honorable mention at Eurographics 2019. Read my blog post on this work on the SAIL Blog.
  • [ Mar-2019 ]: Can we estimate the 6D pose and size of novel object instances never encountered before? Our upcoming CVPR oral paper shows one way (video).
  • [ Mar-2019 ]: Read my Twitter thread about interesting hand facts that you may not have known before.