Qunjie Zhou
Research Scientist at NVIDIA
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolQunjie Zhou is a research scientist at NVIDIA with a decade of experience at the intersection of deep learning and computer vision, following a PhD in the same field from Technical University of Munich. He brings industrial research experience from Meta internships and a sustained academic track record at TUM, combining strong theoretical foundations with production-oriented engineering. His background spans embedded and interactive systems early in his career to cutting-edge visual AI research today, reflecting an ability to move between low-level implementation and high-impact research. Based in Munich, he pairs international academic training with real-world product experience in Europe and China. Colleagues describe him as someone who translates complex vision models into practical systems—an asset for teams bridging research prototypes and deployable AI.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Informatics, 1.4, Master of Science - MS, Informatics, 1.4 at Technical University MunichBachelor of Science - BS, Information Technology, 1.5, Bachelor of Science - BS, Information Technology, 1.5 at Fachhochschule LübeckBachelor of Science - BS, Electrical Engineering and Automation, 1.5, Bachelor of Science - BS, Electrical Engineering and Automation, 1.5 at East China University of Science and Technology
English, Chinese, German
Github Skills (48)
geometry10
python10
evaluation10
machine-learning10
image-matching10
deep-learning10
gpu10
structure-from-motion10
feature-matching10
graph-convolutional-networks10
graph-neural-network10
visualization9
geometric-deep-learning9
pytorch9
numpy9
Programming languages (6)
Github contributions (5)
GrumpyZhou/patch2pix
Dec 2020 - Jun 2022
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
Contributions:11 commits, 12 pushes, 21 comments in 1 year 6 months
image-matchingfeature-matchingdeep-learning
GrumpyZhou/image-matching-toolbox
Nov 2020 - Dec 2022
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
Contributions:2 reviews, 114 commits, 4 PRs in 2 years
image-matchingimage-correspondencesevaluation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.