Kuang-jui Hsu
Staff Engineer at Research Center for Information Technology Innovation, Academic Sinica
Hsinchu Metropolitan Area Taiwan
Summary
👤
Senior🎓
Top SchoolKuang-jui Hsu is a Staff Engineer at Qualcomm in Hsinchu with nine years of experience building lightweight, real-time deep learning models for mobile devices. He holds a Ph.D. in Computer Science from National Taiwan University, where his thesis explored weakly supervised CNNs for visual attention and object discovery, and his earlier work tackled contour inference from bounding boxes. Combining academic rigor from Academic Sinica research roles with production-focused engineering at Qualcomm, he specializes in computer vision, deep learning, and image processing. He is skilled at translating research ideas into efficient, mobile-friendly models—an uncommon blend of theoretical insight and embedded deployment experience.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National Taiwan UniversityBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at National Sun Yat-Sen University
Chinese, Mandarin, English
Github Skills (13)
matconvnet10
unsupervised-learning10
convolutional-neural-networks10
matlab10
weakly-supervised-learning10
segmentation9
deep-learning8
instance-segmentation8
matching4
triplet4
patch3
descriptor2
face1
Programming languages (2)
Github contributions (5)
KuangJuiHsu/DeepCO3
Mar 2019 - Apr 2019
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Contributions:73 commits, 72 pushes, 1 branch in 1 month
segmentationmatlabmatconvnetinstance-segmentationco-segmentation
KuangJuiHsu/WSCNNTDSaliency
Dec 2017 - Apr 2019
Contributions:96 commits, 95 pushes, 1 branch in 1 year 3 months
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