Robin Baumann

Senior Computer Vision Engineer at CUJU

Karlsruhe, Baden-Württemberg, Germany
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Summary

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Senior
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Robin Baumann is a Senior Computer Vision Engineer based in Karlsruhe with nine years of experience specializing in human pose estimation, 3D reconstruction and sensor-aware ML for non-rigid shapes. He holds an M.Sc. in Computer Science and has combined academic research roles with industry engineering at inovex and CUJU, moving seamlessly from master-thesis work on auto-decoders for articulated shapes to production-focused machine learning. Robin contributed to TensorFlow Graphics (including camera calibration, 2D keypoint handling and segmentation support), showing a knack for bridging differentiable graphics research and practical tooling. He excels at turning synthetic and noisy real-world 3D sensor data into robust models and has repeatedly shipped features that make camera-based rendering and pose workflows more accessible.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS, Computer Science, 1,2, Master of Science - MS, Computer Science, 1,2 at Hochschule Karlsruhe – Technik und Wirtschaft / University of Applied Sciences
bookBachelor of Science, Computer Science, 1.4, Bachelor of Science, Computer Science, 1.4 at Duale Hochschule Baden-Württemberg
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Stackoverflow

Stats
1,056reputation
70kreached
30answers
10questions
Badges
tensorflow
top-5%
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Github Skills (11)

computer-vision10
tensorflow10
camera-calibration10
python10
pose-estimation10
object-detection6
recurrent-neural-networks6
kaggle6
deep-learning6
machine-learning6
artificial-intelligence6

Programming languages (8)

JavaC++CScalaJavaScriptPHPJupyter NotebookPython

Github contributions (5)

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tensorflow/graphics

Jun 2020 - Jul 2020

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Role in this project:
userML Engineer
Contributions:4 reviews, 238 commits, 10 PRs in 1 month
Contributions summary:Robin added and tested new features related to camera calibration, including parameters for focal length, aspect ratio, skew, and the pose. They also implemented features for creating and constructing calibration matrices, enabling the use of camera-based rendering in the project. Furthermore, the user introduced and tested new features that allow users to define and access the 2D keypoints, and handle segmentation masks.
differentiablecomputer-graphicslayerstensorflowgraphics
Contributions:44 pushes, 1 branch in 7 years 3 months
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Robin Baumann - Senior Computer Vision Engineer at CUJU