Erjin Zhou
Erjin Zhou publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning and Video Surveillance and Tracking Methods.
- World rank
- #488,669 of 7,710,434 ranked researchers
- Rank in ??
- #568 of 21,892
- Works
- 48
- Citations
- 4.4k
- Citations per work
- 92.1
What does Erjin Zhou research?
Erjin Zhou's work is mostly in Computer Science (84%), Engineering (7%).
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 Sciences4490.8%
- Computer Science4083.5%
- Engineering47.3%
- Everything else49.2%
- 1Computer Vision and Pattern Recognition54% of their works
- 2Artificial Intelligence26% of their works
- 3Human-Computer Interaction4% of their works
- 4Biomedical Engineering3% of their works
- 5Aerospace Engineering2% of their works
- 6Control and Systems Engineering2% of their works
Research topics
- Human Pose and Action Recognition
- Domain Adaptation and Few-Shot Learning
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Face recognition and analysis
- Anomaly Detection Techniques and Applications
- Advanced Image and Video Retrieval Techniques
Which keywords describe Erjin Zhou's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Pose Estimation, Action Recognition, Spatiotemporal Features, Neural Networks, Domain Adaptation and Object Tracking.
- Unsupervised
- Feature Matching
- Visual Question Answering
- Facial Landmark Detection
- Object Detection
- Visual Tracking
- Object Tracking
- Neural Networks
- Action Recognition
- Convolutional Neural Networks
- Deep Learning
- Pose Estimation
- Spatiotemporal Features
- Domain Adaptation
- Transfer Learning
- Image Recognition
- Face Recognition
- Image Captioning
- Anomaly Detection
- Local Descriptors
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 Learning677 topics
- Convolutional Neural Networks293 topics
- Pose Estimation242 topics
- Action Recognition161 topic
- Spatiotemporal Features161 topic
- Neural Networks152 topics
- Domain Adaptation111 topic
- Object Tracking111 topic
- Transfer Learning111 topic
- Visual Tracking111 topic
- Image Recognition101 topic
- Object Detection101 topic
- Face Recognition81 topic
- Facial Landmark Detection81 topic
- Image Captioning81 topic
- Visual Question Answering81 topic
- Anomaly Detection71 topic
- Feature Matching71 topic
- Local Descriptors71 topic
- Unsupervised71 topic
Where does Erjin Zhou work?
Erjin Zhou's main affiliation in the publication record is Megvii (China), ??.
How many publications and citations does Erjin Zhou have?
OpenAlex counts 48 works and 4,423 citations for Erjin Zhou, an h-index of 20, ranking #488,669 of 7,710,434 researchers worldwide on the quality 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.
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