Graham W. Taylor
Graham W. Taylor publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Generative Adversarial Networks and Image Synthesis.
- World rank
- #49,778 of 1,633,909 ranked researchers
- Rank in Canada
- #1,486 of 38,960
- Works
- 83
- Citations
- 790
- Citations per work
- 9.5
What does Graham W. Taylor 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 Recognition29% of their works
- 2Artificial Intelligence26% of their works
- 3Biomedical Engineering3% of their works
- 4Ecological Modeling3% of their works
- 5Human-Computer Interaction3% of their works
- 6Computational Theory and Mathematics3% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
Which keywords describe Graham W. Taylor's research?
The keywords of their largest research topics: Deep Learning, Representation Learning, Unsupervised Learning, Neural Networks, Convolutional Neural Networks, Meta-Learning, Domain Adaptation and Image Recognition.
- Visual Tracking
- Robustness
- Noisy Labels
- Hyperparameter Optimization
- Pose Estimation
- Generative Adversarial Networks
- Transfer Learning
- Image Recognition
- Meta-Learning
- Neural Networks
- Representation Learning
- Deep Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Domain Adaptation
- Object Detection
- Action Recognition
- Image Synthesis
- Adversarial Examples
- Image Captioning
- Object Tracking
- Visual Question Answering
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 22 words, with their numbers
- Deep Learning266 topics
- Representation Learning122 topics
- Unsupervised Learning122 topics
- Neural Networks113 topics
- Convolutional Neural Networks102 topics
- Meta-Learning102 topics
- Domain Adaptation71 topic
- Image Recognition71 topic
- Object Detection71 topic
- Transfer Learning71 topic
- Action Recognition51 topic
- Generative Adversarial Networks51 topic
- Image Synthesis51 topic
- Pose Estimation51 topic
- Adversarial Examples31 topic
- Hyperparameter Optimization31 topic
- Image Captioning31 topic
- Noisy Labels31 topic
- Object Tracking31 topic
- Robustness31 topic
- Visual Question Answering31 topic
- Visual Tracking31 topic
Where does Graham W. Taylor work?
Graham W. Taylor's main affiliation in the publication record is University of Guelph, Canada.
How many publications and citations does Graham W. Taylor have?
Science Explorer counts 83 works and 790 citations for Graham W. Taylor, ranking #49,778 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 Graham W. Taylor
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