Holger Caesar

Research Scientist at TU Delft

Delft, South Holland, Netherlands
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Summary

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Holger Caesar is a research scientist and assistant professor at TU Delft with ten years of experience bridging machine learning research and hands-on computer vision engineering. As author of the COCO-Stuff and nuScenes datasets, he specializes in dataset curation and benchmark creation that power scene understanding research and applied perception systems. He pairs this with practical ML engineering—writing training, conversion and evaluation scripts for architectures like DeepLabv2 and ResNet101—to improve reproducibility and model performance. Based in Delft, he is known for open-source stewardship that helps researchers and practitioners reproduce benchmarks and deploy robust vision models.
code10 years of coding experience
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Github Skills (14)

sh10
computer-vision10
machine-learning10
script10
caffe10
shell10
deep-learning10
python10
scripting10
caffe210
image-processing9
scipy8
tensorflow7
tensorflow27

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