• Our work on Learning 3D Object Shape and Layout without 3D Supervision was accepted to CVPR 2022!
  • Our work on Omnivore: A Single Model for Many Visual Modalities was accepted to CVPR 2022 and the code was released! Have a look at the project website for more details (link).
  • We released a new algorithm for computing Intersection Over Union of Oriented 3D Boxes in PyTorch3D that is 450x faster than prior implementations (link)


Learning 3D Object Shape and Layout without 3D Supervision
Georgia Gkioxari, Nikhila Ravi, Justin Johnson
Conference on Computer Vision and Pattern Recognition 2022

Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra
Conference on Computer Vision and Pattern Recognition 2022, Oral Presentation

Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image
Ronghang Hu, Nikhila Ravi, Alex Berg, Deepak Pathak
International Conference on Computer Vision 2021, Oral Presentation

Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi, Jeremy Reizenstein, David Novotny, Taylor Gordon, Wan-Yen Lo, Justin Johnson, Georgia Gkioxari
Neural Information Processing Systems 2020 WiML Workshop, one of six selected talks

C3dpo: Canonical 3d pose networks for non-rigid structure from motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
International Conference on Computer Vision 2019, Oral Presentation


A selection of talks from various conferences around the world:

  • PyTorch DevCon 2020 (video)
  • CVPR 2020 Workshop, Visual Recognition for Images, Video, and 3D (video)
  • NeurIPS WiML Workshop 2020 (video)
  • SIGGRAPH Asia Workshop on PyTorch3D 2020 (video)
  • “Machine Learning in the Browser”, Node Conf EU 2017 (video), Node Conf Argentina 2017 (video)
  • “Serverless GraphQL”, Serverless Conf New York 2016 (video)
  • “Serverless Architecture in the wild”, Node Conf London 2016 (video)

I have served as a reviewer for the following AI conferences: CVPR 2021, ICML 2021, ICCV 2021, NeurIPS 2021, BMVC 2021, 3DV 2021, CVPR2022, ICML 2022.


  • Teaching Assistant for the 3D Computer Vision course in the African Masters in Machine Intelligence 2021 (link)


  • “Rendering Volumes and Implicit Shapes in PyTorch3D”, PyTorch Medium channel (link)
  • “Facebook launches 3D Deep Learning library for PyTorch”, Venture Beat 2019 (link)
  • “Facebook open-sources PyTorch3D to enable AI that thinks in three dimensions”, Silicon Angle 2019 (link)
  • “Introducing PyTorch3D, an open source library for 3D deep learning”, Facebook AI Blog 2019 (link)
  • “Women in AI at Facebook”, Facebook AI Blog 2019 (link)


A few favourite personal projects:

  • Minibatch AI, a little blog to iteratively learn AI though code snippets and explanations (link)
  • Thoughts from a crowded brain, I occasionally write about productivity and tech (link)
  • Code Crystal, a tool to create an interactive dependency graph of any Node.js project on GitHub (link)
  • Uncrossword, fill in the known letters and generate all possible words to fit the spaces (link)
  • One Life Two Ways, vegan western fusion versions of South Indian recipes (link)