Arno Knapitsch
Research Engineer at Meta
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolArno Knapitsch is a research engineer based in Zurich with eight years of experience at the intersection of machine learning, computer vision, and experimental physics. He has driven applied research at Meta and Mapillary and built foundational benchmarks and deep learning methods for multi-view 3D reconstruction during a postdoc at Intel Labs (notably contributing to the Tanks and Temples dataset). His background in photonic-crystal-enhanced scintillators from PhD and CERN roles gives him uncommon depth in physical modeling, simulation and nanofabrication alongside vision research. Comfortable moving between large-scale benchmarks, high-resolution video data and physics-informed algorithm design, he blends rigorous scientific methodology with production-minded engineering.
9 years of coding experience
9 years of employment as a software developer
Vienna University of TechnologyGraduate Exchange Student, Graduate Exchange Student at University of Nebraska-LincolnMSc Telematics, MSc Telematics at Technische Universität Graz
German, English, French
Github Skills (11)
depth-estimation10
3d-reconstruction9
calibration9
toolbox9
benchmarking9
benchmark9
robotics9
opencv8
ai7
python7
structure-from-motion6
Programming languages (1)
Github contributions (5)
arknapit/TanksAndTemples
Aug 2017 - Feb 2020
Toolbox for the TanksAndTemples benchmark website
Contributions:19 pushes in 2 years 6 months
benchmarkinginspectiongocdtoolboxbenchmark
isl-org/TanksAndTemples
Aug 2017 - Feb 2020
Toolbox for the TanksAndTemples benchmark website
Contributions:21 commits, 12 PRs, 58 comments in 2 years 6 months
benchmarktoolboxbenchmarking
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