Anurag Ranjan

Research Scientist, Apple.

headshot.png

I am a Research Scientist at Apple Machine Learning Research. I lead the research around Neural Rendering, 3D Generative models and Efficients Networks. Specifically, my work focuses on 3D generative models for humans and faces targetted towards Apple Vision Pro applications. I have also developed fast neural networks such as MobileOne and FastViT, which have shipped on several devices iPhone, iPad, Apple Vision Pro across several applications including Maps, Siri and Hand Tracking.



shipped across

APPLE MAPS 3D
HEY SIRI
project thumbnail
CREATE ML
project thumbnail
APPLE VISION PRO

selected publications

2023

  1. facelit.gif
    FaceLit: Neural 3D Relightable Faces
    Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, and Oncel Tuzel
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
    arXiv Code
  2. Pointersect: Neural Rendering with Cloud-Ray Intersection
    Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, and Oncel Tuzel
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
    arXiv Code
  3. FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
    Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, and Anurag Ranjan
    International Conference on Computer Vision (ICCV), 2023
    arXiv Code

2022

  1. neuman_crop.gif
    NeuMan: Neural Human Radiance Field from a Single Video
    Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, and Anurag Ranjan
    In Proceedings of the European conference on computer vision (ECCV), 2022
    Abs arXiv Code
  2. MobileOne: An Improved One millisecond Mobile Backbone
    Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, and Anurag Ranjan
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
    Abs arXiv Code