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Researcher · Sorbonne Université · France

Thibaut Durand

Thibaut Durand publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning and Image Retrieval and Classification Techniques.

ORCID 0000-0003-3698-0920 OpenAlex
World rank
#1,784,453
of 7,710,434 ranked researchers
Rank in France
#78,675
of 324,115
Works
30
Citations
1.2k
Citations per work
39.4
h-index
11
i10-index 11Top 39% in Computer Vision and Pattern Recognition
Thibaut Durand

What does Thibaut Durand research?

Thibaut Durand's work is mostly in Computer Science (80%), Engineering (6%), Mathematics (2%).

Physical Sciences: 27 works · 89.5% of their workComputer Science: 24 works · 80.2% of their workComputer Vision and Pattern Recognition: 15 works · 48.8% of their workArtificial Intelligence: 8 works · 27.9% of their workSignal Processing: 1 works · 3.5% of their workEngineering: 2 works · 5.8% of their workMedia Technology: 2 works · 5.8% of their workMathematics: 1 works · 2.3% of their workStatistics and Probability: 1 works · 2.3% of their workEnvironmental Science: 0 works · 1.2% of their workEcological Modeling: 0 works · 1.2% of their workEverything else: 3 works · 10.5% of their workTHEIR WORKThibaut Durand30works
Physical Sciences90%

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 Science2480.2%
    2. Engineering25.8%
    3. Mathematics12.3%
    4. Environmental Science01.2%
  2. Everything else310.5%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Artificial Intelligence28% of their works
  3. 3Media Technology6% of their works
  4. 4Signal Processing4% of their works
  5. 5Statistics and Probability2% of their works
  6. 6Ecological Modeling1% of their works

Research topics

Which keywords describe Thibaut Durand's research?

The keywords of their largest research topics: Deep Learning, Representation Learning, Unsupervised Learning, Feature Matching, Local Descriptors, Neural Networks, Domain Adaptation and 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 20 words, with their numbers
  1. Deep Learning376 topics
  2. Representation Learning162 topics
  3. Unsupervised Learning162 topics
  4. Feature Matching141 topic
  5. Local Descriptors141 topic
  6. Neural Networks133 topics
  7. Domain Adaptation111 topic
  8. Transfer Learning111 topic
  9. Content-Based Image Retrieval61 topic
  10. Image Captioning61 topic
  11. Shape Matching61 topic
  12. Visual Question Answering61 topic
  13. Convolutional Neural Networks51 topic
  14. Generative Adversarial Networks51 topic
  15. Hyperspectral51 topic
  16. Image Analysis51 topic
  17. Image Recognition51 topic
  18. Image Synthesis51 topic
  19. Backpropagation Learning21 topic
  20. Self-Organizing Maps21 topic

Where does Thibaut Durand work?

Thibaut Durand's main affiliation in the publication record is Sorbonne Université, France.

How many publications and citations does Thibaut Durand have?

OpenAlex counts 30 works and 1,183 citations for Thibaut Durand, an h-index of 11, ranking #1,784,453 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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