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Researcher · KU Leuven · Belgium

Wouter Van Gansbeke

Wouter Van Gansbeke publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and General Social Sciences, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#1,725,541
of 7,710,434 ranked researchers
Rank in Belgium
#15,822
of 67,186
Works
15
Citations
1.4k
Citations per work
91.6
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Wouter Van Gansbeke

What does Wouter Van Gansbeke research?

Wouter Van Gansbeke's work is mostly in Computer Science (75%), Arts and Humanities (4%), Social Sciences (4%).

Physical Sciences: 11 works · 75.0% of their workComputer Science: 11 works · 75.0% of their workComputer Vision and Pattern Recognition: 8 works · 54.5% of their workArtificial Intelligence: 3 works · 18.2% of their workComputer Graphics and Computer-Aided Design: 0 works · 2.3% of their workEverything else: 2 works · 13.7% of their workSocial Sciences: 2 works · 11.3% of their workArts and Humanities: 1 works · 4.5% of their workLiterature and Literary Theory: 1 works · 4.5% of their workSocial Sciences: 1 works · 4.5% of their workGeneral Social Sciences: 1 works · 4.5% of their workEconomics, Econometrics and Finance: 0 works · 2.3% of their workEconomics and Econometrics: 0 works · 2.3% of their workTHEIR WORKWouter VanGansbeke15works
Physical Sciences75%Social Sciences11%

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 Science1175.0%
  2. Everything else213.7%
    1. Arts and Humanities14.5%
    2. Social Sciences14.5%
    3. Economics, Econometrics and Finance02.3%
  1. 1Computer Vision and Pattern Recognition55% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3General Social Sciences4% of their works
  4. 4Literature and Literary Theory4% of their works
  5. 5Computer Graphics and Computer-Aided Design2% of their works
  6. 6Economics and Econometrics2% of their works

Research topics

Which keywords describe Wouter Van Gansbeke's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Representation Learning, Domain Adaptation, Transfer Learning, Convolutional Neural Networks, Image Recognition and Neural Networks.

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 Learning144 topics
  2. Unsupervised Learning113 topics
  3. Representation Learning92 topics
  4. Domain Adaptation71 topic
  5. Transfer Learning71 topic
  6. Convolutional Neural Networks61 topic
  7. Image Recognition61 topic
  8. Neural Networks52 topics
  9. Feature Matching31 topic
  10. Image Captioning31 topic
  11. Local Descriptors31 topic
  12. Visual Question Answering31 topic
  13. Content-Based Image Retrieval21 topic
  14. Depth Estimation21 topic
  15. Generative Adversarial Networks21 topic
  16. Image Synthesis21 topic
  17. Narrative Persuasion21 topic
  18. Shape Matching21 topic
  19. Stereo Vision21 topic
  20. Transportation21 topic

Where does Wouter Van Gansbeke work?

Wouter Van Gansbeke's main affiliation in the publication record is KU Leuven, Belgium.

How many publications and citations does Wouter Van Gansbeke have?

OpenAlex counts 15 works and 1,374 citations for Wouter Van Gansbeke, an h-index of 9, ranking #1,725,541 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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