I am a Researcher at Apple Machine Intelligence. My interests lie at the intersection of deep learning, computer vision and 3D geometry.

I did my PhD at Max Planck Institute for Intelligent Systems with Michael Black with a thesis on Geometric Understanding of Motion. My work links motion of objects in videos to structure and geometry in the world using deep learning paradigms and self-supervised learning.

I received my Masters degree from the Computer Science Department at The University of British Columbia, Vancouver. I was a research assistant in the Sensorimotor Systems Lab at UBC and I worked with Dinesh Pai on understanding motion of Eyes and Upper Faces. I completed my undergraduate studies at National Institute of Technology Karnataka in the Electronics and Communications Department.

curriculum vitae

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timeline

  • 2020 onwards– Researcher, Apple CA
  • 2016 - 2019– PhD Student, Max Planck Institute for Intelligent Systems, Tübingen Germany
  • Fall 2018 – Research Intern, NVIDIA Research, Boston MA
  • Summer 2017 – Research Intern, Facebook Research, Menlo Park CA
  • Fall 2015 – Software Developer, Mashup Machine Inc., Vancouver Canada
  • 2013 - 2015 – Masters Student, University of British Columbia, Vancouver BC
  • Summer 2012 – Research Intern, Ecole Polytechnique de Montreal, Montreal QC
  • Summer 2011 – Research Intern, India Innovation Labs, Bangalore India
  • 2009 - 2013 – Undergrad, National Institute of Technology, Karnataka India

invited talks

Competitive Collaboration, Scenes from Videos Workshop, ICCV 2019.
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation, NVIDIA GPU Technology Conference 2019
Small and Fast Networks for Learning Optical Flow, Scenes from Videos Workshop, ICCV 2019.

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