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Researcher · Naver (South Korea) · South Korea

Philippe Weinzaepfel

Philippe Weinzaepfel publishes mostly in Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, on topics such as Human Pose and Action Recognition, Robotics and Sensor-Based Localization and Advanced Vision and Imaging.

ORCID 0000-0002-4223-3983 OpenAlex
World rank
#154,209
of 7,710,434 ranked researchers
Rank in South Korea
#833
of 162,609
Works
98
Citations
6.1k
Citations per work
62.7
h-index
29
i10-index 39Top 5.6% in Computer Vision and Pattern Recognition
Philippe Weinzaepfel

What does Philippe Weinzaepfel research?

Philippe Weinzaepfel's work is mostly in Computer Science (63%), Engineering (23%).

Physical Sciences: 84 works · 86.2% of their workComputer Science: 62 works · 62.8% of their workComputer Vision and Pattern Recognition: 49 works · 50.0% of their workArtificial Intelligence: 9 works · 8.9% of their workHuman-Computer Interaction: 4 works · 3.9% of their workEngineering: 23 works · 23.4% of their workControl and Systems Engineering: 11 works · 11.0% of their workAerospace Engineering: 8 works · 8.5% of their workBiomedical Engineering: 4 works · 3.9% of their workEverything else: 14 works · 13.8% of their workTHEIR WORKPhilippeWeinzaepfel98works
Physical Sciences86%

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 Science6262.8%
    2. Engineering2323.4%
  2. Everything else1413.8%
  1. 1Computer Vision and Pattern Recognition50% of their works
  2. 2Control and Systems Engineering11% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Aerospace Engineering8% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Human-Computer Interaction4% of their works

Research topics

Which keywords describe Philippe Weinzaepfel's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Action Recognition, Pose Estimation, 3D Mapping, SLAM, Convolutional Neural Networks and Depth Estimation.

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 19 words, with their numbers
  1. Deep Learning1166 topics
  2. Convolutional Networks692 topics
  3. Action Recognition461 topic
  4. Pose Estimation461 topic
  5. 3D Mapping241 topic
  6. SLAM241 topic
  7. Convolutional Neural Networks232 topics
  8. Depth Estimation231 topic
  9. Stereo Vision231 topic
  10. Feature Matching191 topic
  11. Local Descriptors191 topic
  12. Character Animation161 topic
  13. Motion Synthesis161 topic
  14. Image Captioning121 topic
  15. Image Recognition121 topic
  16. Object Detection121 topic
  17. Visual Question Answering121 topic
  18. Object Tracking111 topic
  19. Visual Tracking111 topic

Where does Philippe Weinzaepfel work?

Philippe Weinzaepfel's main affiliation in the publication record is Naver (South Korea), South Korea.

How many publications and citations does Philippe Weinzaepfel have?

OpenAlex counts 98 works and 6,140 citations for Philippe Weinzaepfel, an h-index of 29, ranking #154,209 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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