Changsheng Lu

Postdoc Research Fellow at 香港科技大学

Australia
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Summary

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Senior
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Top School
Changsheng Lu is a Postdoc Research Fellow based in Australia with nine years of experience at the intersection of AI, computer vision, machine learning, pattern recognition, and robotics. He focuses on developing theories and deep-learning algorithms that enable robots to see, reason, and act more like humans, blending rigorous PhD-level research with applied robotics goals. He completed a PhD in Computer Vision and Machine Learning at ANU after a strong foundations in pattern recognition and automation from Shanghai Jiao Tong University and Southeast University. Having held research positions at AIML and now at Hong Kong University of Science and Technology, he moves fluidly between academic inquiry and translational research. Driven by a proactive, results-oriented mindset—summed up by his GitHub motto “Success won't come to me unless I go to it”—he combines persistence with technical depth to push perception-driven robotics forward.
code9 years of coding experience
bookBachelor's degree Automation (自动化), Bachelor's degree Automation (自动化) at Southeast University
bookDoctor of Philosophy - PhD Computer Vision and Machine Learning, Doctor of Philosophy - PhD Computer Vision and Machine Learning at The Australian National University (ANU)
bookMaster's degree Pattern Recognition and Intelligent System (模式识别与智能系统), Master's degree Pattern Recognition and Intelligent System (模式识别与智能系统) at Shanghai Jiao Tong University
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Github Skills (18)

image-processing10
line-segment10
circle-detection9
representation-learning9
jekyll-theme9
human-pose-estimation6
keypoint4
text-detection3
pytorch3
detectron3
machine-learning2
metric-learning2
point-cloud2
neural-network2
computer-vision2

Programming languages (5)

CSSC++HTMLJupyter NotebookPython

Github contributions (5)

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A novel few-shot keypoint detector with uncertainty learning for unseen species (CVPR2022).
Contributions:5 commits, 6 pushes, 1 branch in 10 months
keypoint
AlanLuSun/Circle-detection

Feb 2017 - Nov 2019

Circle detection/circle detector by arc-support line segments. The source code for IEEE ICIP paper.
Contributions:38 commits, 2 PRs, 39 pushes in 2 years 9 months
circle-detectionline-segmenticipcircle-detectorimage-processing
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