Fabian Caba
Senior Research Scientist at Adobe
United States
Summary
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RockstarFabian Caba is a Senior Research Scientist with 11 years of experience specializing in video understanding and applied deep learning, currently driving research and product-facing prototypes at Adobe. He has a strong academic foundation from his PhD work at KAUST on ActivityNet and continues to contribute evaluation modules and metrics to the widely used ActivityNet repository. Fabian’s work spans from proof-of-concept video editing tools to production-ready ML components, with industry internships at Amazon and multiple roles at Adobe that emphasize speeding up video editors’ workflows. Known for turning complex video understanding research into practical tooling, he blends rigorous evaluation methodology with a product-minded approach to accelerate real-world video applications.
11 years of coding experience
Github Skills (7)
pandas10
python10
evaluation10
metric10
data-analysis9
machine-learning8
computer-vision8
Programming languages (2)
Github contributions (5)
activitynet/ActivityNet
Oct 2015 - May 2020
This repository is intended to host tools and demos for ActivityNet
Role in this project:
Data Scientist
Data ScientistContributions:29 commits, 1 PR, 22 pushes in 4 years 7 months
Contributions summary:Fabian primarily contributed to the development of evaluation modules and scripts within the ActivityNet repository. Their work included the implementation of evaluation metrics for both classification and detection tasks. These modules compute average precision, hit rates, and other performance indicators. The user also added and refactored utilities related to the evaluation process.
hostwebapplicationactivitynetweb-applicationactivitypub
cabaf/sparseprop
Jul 2016 - May 2019
Contributions:9 commits, 8 pushes, 1 branch in 2 years 10 months
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