Ming–Hsuan Yang
Ming–Hsuan Yang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Video Surveillance and Tracking Methods, Advanced Vision and Imaging and Advanced Image Processing Techniques.
- World rank
- #3,129 of 7,710,434 ranked researchers
- Rank in United States
- #1,089 of 1,627,098
- Works
- 1,194
- Citations
- 111k
- Citations per work
- 93.4
What does Ming–Hsuan Yang research?
Ming–Hsuan Yang's work is mostly in Computer Science (70%), Engineering (8%).
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 Sciences92877.7%
- Computer Science83269.7%
- Engineering968.0%
- Everything else26622.3%
- 1Computer Vision and Pattern Recognition58% of their works
- 2Artificial Intelligence10% of their works
- 3Media Technology4% of their works
- 4Aerospace Engineering3% of their works
- 5Signal Processing2% of their works
- 6Electrical and Electronic Engineering2% of their works
Research topics
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
Which keywords describe Ming–Hsuan Yang's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Convolutional Networks, Convolutional Neural Networks, Generative Adversarial Networks, Representation Learning and Object Tracking.
- Domain Adaptation
- Image Captioning
- Image Inpainting
- Image Recognition
- Feature Matching
- Stereo Vision
- Depth Estimation
- Object Tracking
- Generative Adversarial Networks
- Convolutional Networks
- Neural Networks
- Deep Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Representation Learning
- Visual Tracking
- Image
- Super-Resolution
- Local Descriptors
- Object Detection
- Image Synthesis
- Visual Question Answering
- Transfer Learning
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 23 words, with their numbers
- Deep Learning9866 topics
- Neural Networks4463 topics
- Unsupervised Learning4453 topics
- Convolutional Networks4042 topics
- Convolutional Neural Networks3502 topics
- Generative Adversarial Networks3262 topics
- Representation Learning2432 topics
- Object Tracking2181 topic
- Visual Tracking2181 topic
- Depth Estimation2021 topic
- Image2021 topic
- Stereo Vision2021 topic
- Super-Resolution2021 topic
- Feature Matching1901 topic
- Local Descriptors1901 topic
- Image Recognition1321 topic
- Object Detection1321 topic
- Image Inpainting1241 topic
- Image Synthesis1241 topic
- Image Captioning1201 topic
- Visual Question Answering1201 topic
- Domain Adaptation1191 topic
- Transfer Learning1191 topic
Where does Ming–Hsuan Yang work?
Ming–Hsuan Yang's main affiliation in the publication record is University of California, Merced, United States.
How many publications and citations does Ming–Hsuan Yang have?
OpenAlex counts 1,194 works and 111,477 citations for Ming–Hsuan Yang, an h-index of 150, ranking #3,129 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.
Other researchers named Ming–Hsuan Yang
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 Ming–Hsuan Yang. Posts are plain text and can be reported.