cv
General Information
Name | Anurag Ranjan |
Summary | Research Scientist at Apple working on Generative AI, 3D Geometry and Efficient Neural Nets. |
anurag.ranjan(at)tue(dot)mpg(dot)de |
Education
-
2016-2019 Doctor of Philosophy
Max Planck Institute for Intelligent Systems / University of Tübingen -
Thesis
- Towards geometric understanding of Motion. Summa cum laude (mit Auszeichnung, with honors, ∼top 5%)
-
Thesis
-
2013-2015 Master of Science
The University of British Columbia, Vancouver - Computer Science
-
2009-2013 Bachelor of Technology
National Institute of Technology, Karnataka - Electronics and Communications Engineering
Experience
-
2020 - Now Research Scientist
Apple - Led research efforts in Neural Radiance Fields, Generative AI and efficient neural networks.
- Co-inventor of MobileOne and FastViT; fastest neural networks on iPhone, shipped across multiple products.
- Co-inventor of FaceLit, Neuman; state-of-the-art generative models for faces and humans using NeRFs.
- Co-developed Hypersim, most photorealistic and first large scale dataset released by Apple
-
Fall 2018 Research Intern
NVIDIA - Developed Competitive Collaboration, a general framework that facilitates competition and collaboration between different networks so that they learn from each other.
- Demonstrated state-of-the-art results on joint unsupervised learning of depth, camera motion, optical flow and motion segmentation leading to a CVPR paper.
-
Summer 2017 Research Intern
Facebook - Developed a patented method for unsupervised video segmentation.
-
2015 Software Developer
Mashup Machine
Positions Served
-
Area Chair
- British Machine Vision Conference (BMVC) 2021, 2022, 2023.
- 3D Vision (3DV) 2024.
- Winter Conference on Applications of Computer Vision (WACV) 2024.
-
Reviewer
- CVPR, ICCV, NeurIPS, AAAI, TPAMI, IJCV.
Honors and Awards
-
2013-2015 - Mitacs Globalink Graduate Fellowship
-
2012 - Mitacs Globalink Fellowship
- Prime Minister's Letter of Appreciation