Sang Jun Lee
Sang Jun Lee publishes mostly in Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, on topics such as Industrial Vision Systems and Defect Detection, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.
- World rank
- #1,148,918 of 1,633,909 ranked researchers
- Rank in South Korea
- #23,490 of 38,381
- Works
- 15
- Citations
- 28
- Citations per work
- 1.9
What does Sang Jun Lee research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition53% of their works
- 2Industrial and Manufacturing Engineering13% of their works
- 3Artificial Intelligence7% of their works
- 4Computational Mechanics7% of their works
- 5Automotive Engineering7% of their works
- 6Otorhinolaryngology7% of their works
Research topics
- Industrial Vision Systems and Defect Detection
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Handwritten Text Recognition Techniques
- Optical measurement and interference techniques
Which keywords describe Sang Jun Lee's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Texture Analysis, Fabric Defect Detection, Machine Vision, Unsupervised Learning, Camera Calibration and Depth Estimation.
- Visual Tracking
- Text Detection
- Stereo Vision
- Object Detection
- Image Segmentation
- Handwriting Recognition
- Depth Estimation
- Unsupervised Learning
- Fabric Defect Detection
- Convolutional Neural Networks
- Deep Learning
- Texture Analysis
- Machine Vision
- Camera Calibration
- Domain Adaptation
- Image Recognition
- Medical Image Analysis
- Object Tracking
- Structured Light
- Transfer Learning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Deep Learning54 topics
- Convolutional Neural Networks33 topics
- Texture Analysis32 topics
- Fabric Defect Detection21 topic
- Machine Vision21 topic
- Unsupervised Learning22 topics
- Camera Calibration11 topic
- Depth Estimation11 topic
- Domain Adaptation11 topic
- Handwriting Recognition11 topic
- Image Recognition11 topic
- Image Segmentation11 topic
- Medical Image Analysis11 topic
- Object Detection11 topic
- Object Tracking11 topic
- Stereo Vision11 topic
- Structured Light11 topic
- Text Detection11 topic
- Transfer Learning11 topic
- Visual Tracking11 topic
Where does Sang Jun Lee work?
Sang Jun Lee's main affiliation in the publication record is Pohang University of Science and Technology, South Korea.
How many publications and citations does Sang Jun Lee have?
Science Explorer counts 15 works and 28 citations for Sang Jun Lee, ranking #1,148,918 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Sang Jun Lee
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