Michael Niemeyer
Senior Research Scientist at Google
Cologne, North Rhine-Westphalia, Germany
Summary
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Rockstar🎓
Top SchoolMichael Niemeyer is a Senior Research Scientist at Google with eight years of experience focused on 3D computer vision and generative AI, bridging academic rigor and product impact. He completed a PhD at the Max Planck Institute for Intelligent Systems studying neural scene representations for 3D reconstruction and generative modeling, and has shipped multiple Google products as well as published notable work like RegNeRF (CVPR 2022 oral). Comfortable moving ideas from paper to production, he combines deep theoretical knowledge with engineering practice across research and front-end roles. Based in Cologne, he brings a mathematician’s precision from a BSc in Mathematics and an MSc in Advanced Computer Science to hard problems in view synthesis and neural rendering. Colleagues value him for delivering reproducible open-source code alongside peer-reviewed advances, and for an unusual blend of product sensibility with cutting-edge research.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics, Bachelor of Science (B.Sc.), Mathematics at University of CologneMaster of Science (M.Sc.), Advanced Computer Science, Master of Science (M.Sc.), Advanced Computer Science at St Andrews UniversityDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Max Planck Institute For Intelligent SystemsExchange Year, Exchange Year at Universitat de Barcelona
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
depth-estimation10
particle10
rendering10
generative-adversarial-network10
siggraph10
generative10
representations10
implicit10
generative-model10
implicit-surfaces10
occupancy10
3d-reconstruction10
computer-vision9
dynamics9
machine-learning9
Programming languages (3)
Github contributions (5)
autonomousvision/giraffe
Apr 2021 - Feb 2022
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
Contributions:6 commits, 2 PRs, 7 pushes in 9 months
pytorchimplicit-surfacesdeep-learninggenerative-adversarial-networkgenerative-model
autonomousvision/occupancy_flow
Oct 2019 - Oct 2022
This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
Contributions:9 commits, 1 PR, 8 pushes in 3 years
iccviccv-2019particlereconstructionoccupancy
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