Shih-po Lee - PhD Candidate

Shih-po Lee

PhD Candidate

Boston, Massachusetts, United States

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Summary

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Senior

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Top School

Shih-Po (Robert) Lee is a PhD candidate in Computer Science at Northeastern University specializing in computer vision and egocentric video understanding, with a focus on procedural task modeling and error detection. With 11 years of research and engineering experience across academia and industry—including a research internship at Honda Research Institute USA and collaborations at University of Washington and National Chiao Tung University—he bridges foundational research and applied systems. His work targets practical video-based diagnostics for procedural tasks, combining procedural learning with novel video understanding methods. Based in Boston, he brings deep domain expertise in egocentric perception and a track record of producing research that informs real-world error detection in human-centric workflows.

11 years of coding experience

2 years of employment as a software developer

Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at National Chiao Tung University

Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National Sun Yat-Sen University

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Northeastern University

Github Skills (6)

computer-vision10

deep-learning10

human-pose-estimation10

convolution7

error-detection7

semantic-segmentation4

Programming languages (1)

Python

Github contributions (5)

robert80203/2018summer_DeepLearning

Jul 2018 - Feb 2019

Contributions:200 pushes, 1 branch in 6 months

robert80203/GSVNet

Jun 2020 - Jul 2021

The official implementation of GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video

Contributions:33 commits, 12 pushes, 2 comments in 1 year 1 month

convolutionsemantic-segmentation

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