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Researcher · InterDigital (United States) · United States

Fabien Racapé

Fabien Racapé publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, on topics such as Video Coding and Compression Technologies, Advanced Data Compression Techniques and Advanced Image Processing Techniques.

ORCID 0009-0002-7934-991X OpenAlex
World rank
#5,318,046
of 7,710,434 ranked researchers
Rank in United States
#1,355,441
of 1,627,098
Works
47
Citations
682
Citations per work
14.5
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Fabien Racapé

What does Fabien Racapé research?

Fabien Racapé's work is mostly in Computer Science (94%).

Physical Sciences: 44 works · 94.1% of their workComputer Science: 44 works · 94.1% of their workComputer Vision and Pattern Recognition: 30 works · 64.0% of their workSignal Processing: 8 works · 16.9% of their workArtificial Intelligence: 2 works · 5.1% of their workComputer Graphics and Computer-Aided Design: 2 works · 3.7% of their workComputer Networks and Communications: 1 works · 2.2% of their workHardware and Architecture: 1 works · 2.2% of their workEverything else: 3 works · 5.9% of their workTHEIR WORKFabien Racapé47works
Physical Sciences94%

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 Science4494.1%
  2. Everything else35.9%
  1. 1Computer Vision and Pattern Recognition64% of their works
  2. 2Signal Processing17% of their works
  3. 3Artificial Intelligence5% of their works
  4. 4Computer Graphics and Computer-Aided Design4% of their works
  5. 5Hardware and Architecture2% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Fabien Racapé's research?

The keywords of their largest research topics: Deep Learning, Video Coding, Convolutional Networks, Generative Adversarial Networks, Neural Networks, H.264/AVC, High Efficiency Video Coding (HEVC) and Unsupervised 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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning595 topics
  2. Video Coding392 topics
  3. Convolutional Networks292 topics
  4. Generative Adversarial Networks272 topics
  5. Neural Networks272 topics
  6. H.264/AVC201 topic
  7. High Efficiency Video Coding (HEVC)201 topic
  8. Unsupervised Learning202 topics
  9. JPEG2000191 topic
  10. Wavelet Compression191 topic
  11. Image181 topic
  12. Super-Resolution181 topic
  13. Depth Estimation111 topic
  14. Stereo Vision111 topic
  15. Image Inpainting91 topic
  16. Image Synthesis91 topic
  17. Feature Matching71 topic
  18. Local Descriptors71 topic
  19. Contrast Enhancement61 topic
  20. Dehazing61 topic
  21. Compression51 topic
  22. Suffix Arrays51 topic

Where does Fabien Racapé work?

Fabien Racapé's main affiliation in the publication record is InterDigital (United States), United States.

How many publications and citations does Fabien Racapé have?

OpenAlex counts 47 works and 682 citations for Fabien Racapé, an h-index of 9, ranking #5,318,046 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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