Sangdoo Yun
Sangdoo Yun publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques.
- World rank
- #257,828 of 7,710,434 ranked researchers
- Rank in South Korea
- #1,699 of 162,609
- Works
- 147
- Citations
- 13k
- Citations per work
- 88.6
What does Sangdoo Yun research?
Sangdoo Yun's work is mostly in Computer Science (83%), Engineering (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences12887.4%
- Computer Science12383.4%
- Engineering64.0%
- Everything else1912.6%
- 1Computer Vision and Pattern Recognition48% of their works
- 2Artificial Intelligence34% of their works
- 3Signal Processing2% of their works
- 4Aerospace Engineering2% of their works
- 5Control and Systems Engineering2% of their works
- 6Media Technology1% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Adversarial Robustness in Machine Learning
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Topic Modeling
Which keywords describe Sangdoo Yun's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Domain Adaptation, Transfer Learning, Image Recognition, Object Detection and Feature Matching.
- Machine Translation
- Anomaly Detection
- Robustness
- Adversarial Examples
- Image Captioning
- Feature Matching
- Image Recognition
- Domain Adaptation
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Transfer Learning
- Object Detection
- Local Descriptors
- Visual Question Answering
- Object Tracking
- Visual Tracking
- Unsupervised
- Word Representation
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Deep Learning1516 topics
- Neural Networks724 topics
- Convolutional Neural Networks602 topics
- Domain Adaptation431 topic
- Transfer Learning431 topic
- Image Recognition421 topic
- Object Detection421 topic
- Feature Matching321 topic
- Local Descriptors321 topic
- Image Captioning251 topic
- Visual Question Answering251 topic
- Adversarial Examples181 topic
- Object Tracking181 topic
- Robustness181 topic
- Visual Tracking181 topic
- Anomaly Detection161 topic
- Unsupervised161 topic
- Machine Translation131 topic
- Word Representation131 topic
Where does Sangdoo Yun work?
Sangdoo Yun's main affiliation in the publication record is Naver (South Korea), South Korea.
How many publications and citations does Sangdoo Yun have?
OpenAlex counts 147 works and 13,017 citations for Sangdoo Yun, an h-index of 35, ranking #257,828 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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