Holger Caesar

Research Scientist at TU Delft

Delft, South Holland, Netherlands
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Summary

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Rockstar
Holger Caesar is a research scientist and ML engineer based in Delft with 11 years of experience building and evaluating computer vision models and datasets. As an author of influential datasets like COCO-Stuff and nuScenes and a contributor to the official COCO-Stuff repository, he blends dataset curation with hands-on model engineering on architectures such as DeepLabv2 and ResNet101. He focuses on reproducible training and evaluation pipelines, having implemented conversion and evaluation scripts that streamline model benchmarking. Holger’s academic and open-source work signals a commitment to large-scale, real-world perception problems and tooling that accelerates research-to-reproducible-results.
code10 years of coding experience
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Github Skills (12)

sh10
computer-vision10
machine-learning10
script10
caffe10
deep-learning10
shell10
python10
scripting10
image-processing9
scipy8
tensorflow7

Programming languages (9)

C++ShellCLuaHTMLJupyter NotebookPythonMatlab

Github contributions (5)

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nightrome/cocostuff

Sep 2017 - Sep 2022

The official homepage of the COCO-Stuff dataset.
Role in this project:
userML Engineer
Contributions:74 commits, 1 PR, 13 pushes in 5 years
Contributions summary:Holger contributed significantly to the development and maintenance of machine learning models within the COCO-Stuff dataset repository. Their work primarily involved creating and modifying scripts for training and evaluating models, specifically focusing on the DeepLabv2 and Resnet101 architectures. These changes included adjusting model parameters, updating image lists, and implementing conversion scripts for different model types. The user also added and refined scripts to evaluate model performance.
datasetcocoofficial-homepage
Contributions:23 commits, 1 PR, 22 pushes in 11 months
semantic-segmentationdeep-learningcomputer-visionsemanticsegmentation
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Holger Caesar - Research Scientist at TU Delft