Martin Danelljan
Manager And Senior Researcher - 3D Computer Vision at Apple
United States
Summary
🤩
Rockstar🎓
Top SchoolMartin Danelljan is a PhD-trained computer vision researcher and engineering leader with nine years of experience building ML-driven visual tracking and 3D point-cloud systems, now managing a team at Apple focused on global-scale 3D computer vision. He co-founded startups and led research groups at ETH Zürich, translating theory and math into practical products—most recently bringing photorealistic, cost-efficient 3D creation for e-commerce through Elevate3D. A stubborn problem solver who enjoys both elegant theory and hands-on deployment, he contributes to open-source tooling such as the PyTracking visual tracking library, improving dataset evaluation and training/serving reliability. Comfortable across academia, startups, and industry, he combines deep statistical modeling expertise with product-driven execution to push realism and scalability in 3D vision.
10 years of coding experience
6 years of employment as a software developer
Postgraduate Degree, Postgraduate Degree at ETH ZürichDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Linköping University
Swedish, English
Github Skills (9)
computer-vision10
pytorch10
machine-learning10
python10
ml-deployment9
back-end-development9
continuous-deployment9
data-structure7
data-structures7
Programming languages (4)
Github contributions (5)
visionml/pytracking
Apr 2019 - Nov 2022
Visual tracking library based on PyTorch.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:3 releases, 107 commits, 13 PRs in 3 years 8 months
Contributions summary:Martin's contributions center around the development of core functionalities within a visual tracking library. They implemented a new dataset class within the `pytracking.evaluation` module, likely for testing and evaluation purposes. Further commits indicate efforts to address network loading issues and improvements to training setups. This includes adjustments to the code and documentation related to network loading and configurations for training scripts, suggesting a focus on model deployment and performance optimization.
pytorchcomputer-visiontrackingmachine-learningvisual-tracking
martin-danelljan/martin-danelljan.github.io
Apr 2019 - Oct 2022
Contributions:68 commits, 67 pushes, 2 branches in 3 years 6 months
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