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Researcher · Idiap Research Institute · Switzerland

François Fleuret

François Fleuret publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Video Surveillance and Tracking Methods, Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-9457-7393 OpenAlex
World rank
#285,215
of 7,710,434 ranked researchers
Rank in Switzerland
#5,472
of 80,918
Works
212
Citations
8.1k
Citations per work
38.4
h-index
39
i10-index 92Top 2.5% in Computer Vision and Pattern Recognition
François Fleuret

What does François Fleuret research?

François Fleuret's work is mostly in Computer Science (72%), Biochemistry, Genetics and Molecular Biology (4%), Engineering (3%).

Physical Sciences: 159 works · 74.8% of their workComputer Science: 152 works · 71.8% of their workComputer Vision and Pattern Recognition: 82 works · 38.5% of their workArtificial Intelligence: 67 works · 31.6% of their workSignal Processing: 4 works · 1.7% of their workEngineering: 6 works · 3.0% of their workAerospace Engineering: 6 works · 3.0% of their workEverything else: 45 works · 21.2% of their workLife Sciences: 8 works · 4.0% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 4.0% of their workBiophysics: 5 works · 2.2% of their workMolecular Biology: 4 works · 1.8% of their workTHEIR WORKFrançois Fleuret212works
Life Sciences4%Physical Sciences75%

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 Science15271.8%
    2. Engineering63.0%
  2. Everything else4521.2%
    1. Biochemistry, Genetics and Molecular Biology84.0%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Artificial Intelligence32% of their works
  3. 3Aerospace Engineering3% of their works
  4. 4Biophysics2% of their works
  5. 5Molecular Biology2% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe François Fleuret's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Meta-Learning, Convolutional Networks, Unsupervised Learning, Object Tracking, Visual Tracking and Image Recognition.

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 Learning1044 topics
  2. Convolutional Neural Networks562 topics
  3. Meta-Learning442 topics
  4. Convolutional Networks422 topics
  5. Unsupervised Learning402 topics
  6. Object Tracking301 topic
  7. Visual Tracking301 topic
  8. Image Recognition261 topic
  9. Object Detection261 topic
  10. Feature Matching251 topic
  11. Local Descriptors251 topic
  12. Action Recognition231 topic
  13. Hyperparameter Optimization231 topic
  14. Noisy Labels231 topic
  15. Pose Estimation231 topic
  16. Domain Adaptation211 topic
  17. Transfer Learning211 topic
  18. Depth Estimation191 topic
  19. Dimensionality Reduction191 topic
  20. Face Recognition191 topic
  21. Stereo Vision191 topic

Where does François Fleuret work?

François Fleuret's main affiliation in the publication record is Idiap Research Institute, Switzerland.

How many publications and citations does François Fleuret have?

OpenAlex counts 212 works and 8,136 citations for François Fleuret, an h-index of 39, ranking #285,215 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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