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Researcher · University of California, Berkeley · United States

Trevor J. Darrell

Trevor J. Darrell publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-5453-8533 OpenAlex
World rank
#4,199
of 7,710,434 ranked researchers
Rank in United States
#1,442
of 1,627,098
Works
843
Citations
206k
Citations per work
244.9
h-index
140
i10-index 480Top 0.1% in Computer Vision and Pattern Recognition
Trevor J. Darrell

What does Trevor J. Darrell research?

Trevor J. Darrell's work is mostly in Computer Science (80%), Engineering (5%).

Physical Sciences: 717 works · 85.1% of their workComputer Science: 675 works · 80.1% of their workComputer Vision and Pattern Recognition: 413 works · 49.0% of their workArtificial Intelligence: 217 works · 25.8% of their workSignal Processing: 27 works · 3.2% of their workHuman-Computer Interaction: 18 works · 2.1% of their workEngineering: 42 works · 5.0% of their workControl and Systems Engineering: 24 works · 2.8% of their workAerospace Engineering: 19 works · 2.2% of their workEverything else: 126 works · 14.9% of their workTHEIR WORKTrevor J. Darrell843works
Physical Sciences85%

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
    1. Computer Science67580.1%
    2. Engineering425.0%
  2. Everything else12614.9%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Artificial Intelligence26% of their works
  3. 3Signal Processing3% of their works
  4. 4Control and Systems Engineering3% of their works
  5. 5Aerospace Engineering2% of their works
  6. 6Human-Computer Interaction2% of their works

Research topics

Which keywords describe Trevor J. Darrell's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Image Captioning, Visual Question Answering, Domain Adaptation, Transfer Learning and Convolutional Networks.

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 21 words, with their numbers
  1. Deep Learning7545 topics
  2. Unsupervised Learning3332 topics
  3. Neural Networks3252 topics
  4. Image Captioning2561 topic
  5. Visual Question Answering2561 topic
  6. Domain Adaptation2451 topic
  7. Transfer Learning2451 topic
  8. Convolutional Networks2102 topics
  9. Feature Matching1971 topic
  10. Local Descriptors1971 topic
  11. Convolutional Neural Networks1792 topics
  12. Action Recognition1221 topic
  13. Pose Estimation1221 topic
  14. Image Recognition1131 topic
  15. Object Detection1131 topic
  16. Depth Estimation881 topic
  17. Stereo Vision881 topic
  18. Machine Translation691 topic
  19. Word Representation691 topic
  20. Object Tracking661 topic
  21. Visual Tracking661 topic

Where does Trevor J. Darrell work?

Trevor J. Darrell's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Trevor J. Darrell have?

OpenAlex counts 843 works and 206,409 citations for Trevor J. Darrell, an h-index of 140, ranking #4,199 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.

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