Khang Truong
3D Vision Engineer at 42dot
Daejeon Metropolitan Area South Korea
Summary
👤
Senior🎓
Top SchoolKhang Truong is a 3D vision engineer with a decade of experience bridging machine learning, deep learning, and computer vision research with practical software engineering. He progressed from research roles in probabilistic models and representation learning at HUST to multi-year research at KAIST and now applies that expertise to 3D vision problems at 42dot. His background includes a stint in industry software engineering at VTTEK, giving him a strong appreciation for production constraints alongside academic rigor. Currently pursuing a PhD in computer science at KAIST, he combines theoretical depth with hands-on implementation—examples and projects are showcased on his personal site. Notably, his trajectory reflects a pattern of translating advanced probabilistic and representation learning techniques into applied 3D vision systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Hanoi University of Science and TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Korea Advanced Institute of Science and Technology
Github Skills (110)
homography10
image-matching10
feature-matching10
intrinsics10
geometry10
pytorch10
structure-from-motion10
stereo10
computer-vision9
python9
deep-learning9
machine-learning9
colmap9
data-science9
matching9
Programming languages (4)
Github contributions (5)
hncuong/topicmodel-lib
Oct 2016 - Feb 2018
Contributions:78 commits, 1 branch in 1 year 4 months
TruongKhang/TopicFM
Jun 2022 - Jan 2023
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
Contributions:19 commits, 10 PRs, 40 pushes in 7 months
pytorchnlpfeature-matchingdeep-learningmatching
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