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Researcher · Orange (France) · France

Moez Baccouche

Moez Baccouche publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Human Pose and Action Recognition.

OpenAlex
World rank
#1,272,277
of 7,710,434 ranked researchers
Rank in France
#58,224
of 324,115
Works
32
Citations
2.1k
Citations per work
64.1
h-index
12
i10-index 12Top 34% in Computer Vision and Pattern Recognition
Moez Baccouche

What does Moez Baccouche research?

Moez Baccouche's work is mostly in Computer Science (92%), Engineering (6%).

Physical Sciences: 31 works · 97.9% of their workComputer Science: 30 works · 92.4% of their workComputer Vision and Pattern Recognition: 18 works · 56.5% of their workArtificial Intelligence: 9 works · 27.2% of their workSignal Processing: 2 works · 6.5% of their workInformation Systems: 1 works · 2.2% of their workEngineering: 2 works · 5.5% of their workMedia Technology: 1 works · 3.3% of their workBiomedical Engineering: 1 works · 2.2% of their workEverything else: 1 works · 2.1% of their workTHEIR WORKMoez Baccouche32works
Physical Sciences98%

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 Science3092.4%
    2. Engineering25.5%
  2. Everything else12.1%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Signal Processing6% of their works
  4. 4Media Technology3% of their works
  5. 5Biomedical Engineering2% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Moez Baccouche's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Pose Estimation, Representation Learning, Unsupervised Learning, Domain Adaptation, Transfer Learning and Action 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 Learning466 topics
  2. Neural Networks233 topics
  3. Pose Estimation162 topics
  4. Representation Learning152 topics
  5. Unsupervised Learning152 topics
  6. Domain Adaptation111 topic
  7. Transfer Learning111 topic
  8. Action Recognition101 topic
  9. Image Captioning101 topic
  10. Spatiotemporal Features101 topic
  11. Visual Question Answering101 topic
  12. Anomaly Detection91 topic
  13. Unsupervised91 topic
  14. Feature Matching71 topic
  15. Local Descriptors71 topic
  16. Face Recognition61 topic
  17. Facial Landmark Detection61 topic
  18. Content-Based Retrieval51 topic
  19. Video Summarization51 topic
  20. Generative Adversarial Networks41 topic
  21. Image Synthesis41 topic

Where does Moez Baccouche work?

Moez Baccouche's main affiliation in the publication record is Orange (France), France.

How many publications and citations does Moez Baccouche have?

OpenAlex counts 32 works and 2,051 citations for Moez Baccouche, an h-index of 12, ranking #1,272,277 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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