Research Projects
Ear Recognition
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Developed a fully automated ear recognition system based on deep learning
- full pipeline: data acquisition, ear detection, feature
extraction, and matching (identification/verification)
- self-attention and margin-based angular loss
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Introduced in YTN (news)
- https://www.youtube.com/watch?v=yAbYLXd5acs&t=89s -
Introduced in MBC (news)
- (05:30) https://www.youtube.com/watch?v=-p3pD1eEF9Q&t=300s
Video Anomaly Detection
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Developed an algorithm for improving the accuracy of violence detection in public transportation systems
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Developing an unsupervised/weakly-supervised video anomaly detection algorithm
- delving into hard sample mining algorithms for
contrastive learning to enhance the anomaly
localization performance in untrimmed videos
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Developed an anomaly detection program
- used model (PatchCore, CVPR 2022) provided here -
Developing a defect detection algorithm with the industrial image datasets
Defect Detection
Pet Face Recognition
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Developed a fully automated deep learning-based pet face recognition system
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Applied self-attention mechanism to get a model robust to occlusion
Food Recognition System
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Developed a real-time food recognition system
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Applied computer vision techniques such as blob detection, erosion, and dilation for plate detection
KIST-Face Database Construction
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Participated in constructing a large-scale Korean face database (KFACE database) at KIST
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Data acquisition, and post-processing such as data cleansing and annotating
KIST-Structured Ear Database Construction
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Constructed a large-scale ear database based on the KFACE dataset