Fisher Yu
Fisher Yu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, on topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Advanced Vision and Imaging.
- World rank
- #18,333 of 7,710,434 ranked researchers
- Rank in Switzerland
- #374 of 80,918
- Works
- 212
- Citations
- 34k
- Citations per work
- 161.0
What does Fisher Yu research?
Fisher Yu's work is mostly in Computer Science (71%), Engineering (11%).
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 Sciences17482.3%
- Computer Science15171.2%
- Engineering2411.1%
- Everything else3817.7%
- 1Computer Vision and Pattern Recognition53% of their works
- 2Artificial Intelligence16% of their works
- 3Automotive Engineering4% of their works
- 4Computational Mechanics4% of their works
- 5Aerospace Engineering4% of their works
- 6Computer Graphics and Computer-Aided Design2% of their works
Research topics
Which keywords describe Fisher Yu's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Unsupervised Learning, Image Recognition, Object Detection, Convolutional Networks, Domain Adaptation and Transfer Learning.
- Trajectory Prediction
- Local Descriptors
- Pose Estimation
- Visual Question Answering
- Visual Tracking
- Stereo Vision
- Transfer Learning
- Convolutional Networks
- Image Recognition
- Convolutional Neural Networks
- Deep Learning
- Unsupervised Learning
- Object Detection
- Domain Adaptation
- Depth Estimation
- Object Tracking
- Image Captioning
- Action Recognition
- Feature Matching
- Autonomous Vehicles
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 20 words, with their numbers
- Deep Learning2026 topics
- Convolutional Neural Networks1042 topics
- Unsupervised Learning862 topics
- Image Recognition701 topic
- Object Detection701 topic
- Convolutional Networks642 topics
- Domain Adaptation471 topic
- Transfer Learning471 topic
- Depth Estimation391 topic
- Stereo Vision391 topic
- Object Tracking341 topic
- Visual Tracking341 topic
- Image Captioning281 topic
- Visual Question Answering281 topic
- Action Recognition251 topic
- Pose Estimation251 topic
- Feature Matching231 topic
- Local Descriptors231 topic
- Autonomous Vehicles221 topic
- Trajectory Prediction221 topic
Where does Fisher Yu work?
Fisher Yu's main affiliation in the publication record is ETH Zurich, Switzerland.
How many publications and citations does Fisher Yu have?
OpenAlex counts 212 works and 34,125 citations for Fisher Yu, an h-index of 57, ranking #18,333 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.
Discussion
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