Byeongho Heo
Byeongho Heo publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques.
- World rank
- #911,103 of 7,710,434 ranked researchers
- Rank in South Korea
- #8,640 of 162,609
- Works
- 69
- Citations
- 2.8k
- Citations per work
- 40.7
What does Byeongho Heo research?
Byeongho Heo's work is mostly in Computer Science (89%), Engineering (6%), Biochemistry, Genetics and Molecular Biology (0%).
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 Sciences6594.5%
- Computer Science6188.5%
- Engineering46.0%
- Everything else35.0%
- Life Sciences00.5%
- 1Computer Vision and Pattern Recognition53% of their works
- 2Artificial Intelligence34% of their works
- 3Electrical and Electronic Engineering4% of their works
- 4Aerospace Engineering2% of their works
- 5Hardware and Architecture1% of their works
- 6Cancer Research0% 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
- Anomaly Detection Techniques and Applications
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
Which keywords describe Byeongho Heo's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Domain Adaptation, Transfer Learning, Image Recognition, Object Detection, Neural Networks and Feature Matching.
- Action Recognition
- Unsupervised
- Anomaly Detection
- Adversarial Examples
- Image Captioning
- Feature Matching
- Object Detection
- Transfer Learning
- Convolutional Neural Networks
- Deep Learning
- Domain Adaptation
- Image Recognition
- Neural Networks
- Local Descriptors
- Visual Question Answering
- Robustness
- Object Tracking
- Visual Tracking
- Pose Estimation
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 Learning957 topics
- Convolutional Neural Networks392 topics
- Domain Adaptation331 topic
- Transfer Learning331 topic
- Image Recognition321 topic
- Object Detection321 topic
- Neural Networks273 topics
- Feature Matching241 topic
- Local Descriptors241 topic
- Image Captioning121 topic
- Visual Question Answering121 topic
- Adversarial Examples81 topic
- Robustness81 topic
- Anomaly Detection71 topic
- Object Tracking71 topic
- Unsupervised71 topic
- Visual Tracking71 topic
- Action Recognition51 topic
- Pose Estimation51 topic
Where does Byeongho Heo work?
Byeongho Heo's main affiliation in the publication record is Naver (South Korea), South Korea.
How many publications and citations does Byeongho Heo have?
OpenAlex counts 69 works and 2,805 citations for Byeongho Heo, an h-index of 20, ranking #911,103 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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