Erik Learned-Miller
Erik Learned-Miller publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques and Advanced Vision and Imaging.
- World rank
- #25,328 of 1,633,909 ranked researchers
- Rank in United States
- #11,873 of 358,040
- Works
- 42
- Citations
- 1k
- Citations per work
- 24.7
What does Erik Learned-Miller 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 Recognition50% of their works
- 2Artificial Intelligence14% of their works
- 3Molecular Biology4% of their works
- 4Control and Systems Engineering4% of their works
- 5Information Systems3% of their works
- 6Astronomy and Astrophysics3% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Image Processing and 3D Reconstruction
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
Which keywords describe Erik Learned-Miller's research?
The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Convolutional Neural Networks, Local Binary Patterns, Content-Based Image Retrieval, Depth Estimation, Domain Adaptation and Feature Matching.
- Text Detection
- Handwriting Recognition
- Face Recognition
- Visual Tracking
- Stereo Vision
- Object Tracking
- Feature Matching
- Depth Estimation
- Local Binary Patterns
- Unsupervised Learning
- Deep Learning
- Convolutional Neural Networks
- Content-Based Image Retrieval
- Domain Adaptation
- Local Descriptors
- Shape Matching
- Transfer Learning
- Dimensionality Reduction
- Fragmented Objects
- Reconstruction
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 Learning82 topics
- Unsupervised Learning82 topics
- Convolutional Neural Networks72 topics
- Local Binary Patterns72 topics
- Content-Based Image Retrieval41 topic
- Depth Estimation41 topic
- Domain Adaptation41 topic
- Feature Matching41 topic
- Local Descriptors41 topic
- Object Tracking41 topic
- Shape Matching41 topic
- Stereo Vision41 topic
- Transfer Learning41 topic
- Visual Tracking41 topic
- Dimensionality Reduction31 topic
- Face Recognition31 topic
- Fragmented Objects31 topic
- Handwriting Recognition31 topic
- Reconstruction31 topic
- Text Detection31 topic
Where does Erik Learned-Miller work?
Erik Learned-Miller's main affiliation in the publication record is University of Massachusetts Amherst, United States.
How many publications and citations does Erik Learned-Miller have?
Science Explorer counts 42 works and 1,036 citations for Erik Learned-Miller, ranking #25,328 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.
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