Carlos Campos

PhD Candidate

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Summary

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Rockstar
Carlos Campos is a PhD candidate in Computer Vision at Universidad de Zaragoza with five years of experience bridging research and applied machine learning. He focuses on advancing visual understanding through rigorous experimentation and model development, translating academic insights into reproducible code. Based in Spain, Carlos combines deep technical training with a practical mindset, often exploring interdisciplinary applications of computer vision. Though early in his career, he demonstrates a track record of sustained contribution to research projects and codebases tied to his doctoral work.
code5 years of coding experience
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Github Skills (4)

slam-algorithms10
orb10
open3d10
slam10

Programming languages (1)

C++

Github contributions (3)

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ccamposm/ORB_SLAM3

Aug 2020 - Aug 2020

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Contributions:5 pushes in 10 days
visual-inertialinertialmapaccurateorb
ccamposm/ccamposm.github.io

Sep 2020 - Sep 2020

Contributions:1 push, 1 branch in 1 day
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Carlos Campos - PhD Candidate