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Researcher · Technicolor (France) · France

Sébastien Lasserre

Sébastien Lasserre publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, on topics such as Video Coding and Compression Technologies, Advanced Vision and Imaging and Image Enhancement Techniques.

OpenAlex
World rank
#3,598,994
of 7,710,434 ranked researchers
Rank in France
#151,790
of 324,115
Works
24
Citations
2.6k
Citations per work
109.2
h-index
7
i10-index 6Top 69% in Computer Vision and Pattern Recognition
Sébastien Lasserre

What does Sébastien Lasserre research?

Sébastien Lasserre's work is mostly in Computer Science (70%), Neuroscience (7%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 18 works · 73.6% of their workComputer Science: 17 works · 69.8% of their workComputer Vision and Pattern Recognition: 10 works · 41.5% of their workSignal Processing: 5 works · 20.8% of their workComputer Graphics and Computer-Aided Design: 2 works · 7.5% of their workEngineering: 1 works · 3.8% of their workComputational Mechanics: 1 works · 3.8% of their workEverything else: 4 works · 15.1% of their workLife Sciences: 3 works · 11.3% of their workNeuroscience: 2 works · 7.5% of their workCognitive Neuroscience: 2 works · 7.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.8% of their workBiophysics: 1 works · 3.8% of their workTHEIR WORKSébastienLasserre24works
Life Sciences11%Physical Sciences74%

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 Science1769.8%
    2. Engineering13.8%
  2. Everything else415.1%
    1. Neuroscience27.5%
    2. Biochemistry, Genetics and Molecular Biology13.8%
  1. 1Computer Vision and Pattern Recognition42% of their works
  2. 2Signal Processing21% of their works
  3. 3Computer Graphics and Computer-Aided Design8% of their works
  4. 4Cognitive Neuroscience8% of their works
  5. 5Biophysics4% of their works
  6. 6Computational Mechanics4% of their works

Research topics

Which keywords describe Sébastien Lasserre's research?

The keywords of their largest research topics: Deep Learning, Video Coding, Convolutional Networks, H.264/AVC, High Efficiency Video Coding (HEVC), Depth Estimation, Stereo Vision and Contrast Enhancement.

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 Learning144 topics
  2. Video Coding122 topics
  3. Convolutional Networks102 topics
  4. H.264/AVC91 topic
  5. High Efficiency Video Coding (HEVC)91 topic
  6. Depth Estimation71 topic
  7. Stereo Vision71 topic
  8. Contrast Enhancement51 topic
  9. Dehazing51 topic
  10. Computer Graphics31 topic
  11. Cortical Networks31 topic
  12. Image31 topic
  13. Image Quality Assessment31 topic
  14. JPEG200031 topic
  15. Neuronal Oscillations31 topic
  16. Perceptual Quality31 topic
  17. Super-Resolution31 topic
  18. Visualization31 topic
  19. Wavelet Compression31 topic

Where does Sébastien Lasserre work?

Sébastien Lasserre's main affiliation in the publication record is Technicolor (France), France.

How many publications and citations does Sébastien Lasserre have?

OpenAlex counts 24 works and 2,620 citations for Sébastien Lasserre, an h-index of 7, ranking #3,598,994 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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