Tianjun Xiao
Tianjun Xiao publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, on topics such as Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.
- World rank
- #1,846,272 of 7,710,434 ranked researchers
- Rank in United States
- #565,868 of 1,627,098
- Works
- 45
- Citations
- 4.1k
- Citations per work
- 91.3
What does Tianjun Xiao research?
Tianjun Xiao's work is mostly in Computer Science (82%), Neuroscience (3%), Psychology (2%).
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 Sciences3781.7%
- Computer Science3781.7%
- Everything else612.9%
- Life Sciences13.1%
- Neuroscience13.1%
- Social Sciences12.3%
- Psychology12.3%
- 1Computer Vision and Pattern Recognition54% of their works
- 2Artificial Intelligence23% of their works
- 3Neurology3% of their works
- 4Computer Networks and Communications2% of their works
- 5Social Psychology2% of their works
- 6Computer Graphics and Computer-Aided Design2% of their works
Research topics
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Brain Tumor Detection and Classification
- Human Pose and Action Recognition
Which keywords describe Tianjun Xiao's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Representation Learning, Unsupervised Learning, Neural Networks, Transfer Learning, Feature Matching and Local Descriptors.
- Pose Estimation
- Brain Tumor
- Image Synthesis
- Visual Tracking
- Visual Question Answering
- Object Detection
- Few-Shot Learning
- Local Descriptors
- Transfer Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Deep Learning
- Representation Learning
- Neural Networks
- Feature Matching
- Domain Adaptation
- Image Recognition
- Image Captioning
- Object Tracking
- Generative Adversarial Networks
- Action Recognition
- MRI
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 Learning597 topics
- Convolutional Neural Networks202 topics
- Representation Learning172 topics
- Unsupervised Learning172 topics
- Neural Networks162 topics
- Transfer Learning162 topics
- Feature Matching151 topic
- Local Descriptors151 topic
- Domain Adaptation121 topic
- Few-Shot Learning121 topic
- Image Recognition121 topic
- Object Detection121 topic
- Image Captioning111 topic
- Visual Question Answering111 topic
- Object Tracking81 topic
- Visual Tracking81 topic
- Generative Adversarial Networks51 topic
- Image Synthesis51 topic
- Action Recognition41 topic
- Brain Tumor41 topic
- MRI41 topic
- Pose Estimation41 topic
Where does Tianjun Xiao work?
Tianjun Xiao's main affiliation in the publication record is Amazon (United States), United States.
How many publications and citations does Tianjun Xiao have?
OpenAlex counts 45 works and 4,109 citations for Tianjun Xiao, an h-index of 13, ranking #1,846,272 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.
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.
Discussion
Ask a question or share a note about Tianjun Xiao. Posts are plain text and can be reported.