Sebastien Wong
Sebastien Wong publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Video Surveillance and Tracking Methods, Advanced Vision and Imaging and Infrared Target Detection Methodologies.
- World rank
- #2,895,258 of 7,710,434 ranked researchers
- Rank in Australia
- #78,964 of 140,210
- Works
- 25
- Citations
- 601
- Citations per work
- 24.0
What does Sebastien Wong research?
Sebastien Wong's work is mostly in Computer Science (55%), Engineering (27%), Environmental Science (5%).
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
- Physical Sciences2287.6%
- Computer Science1454.8%
- Engineering727.4%
- Environmental Science15.4%
- Everything else312.4%
- 1Computer Vision and Pattern Recognition40% of their works
- 2Artificial Intelligence15% of their works
- 3Aerospace Engineering15% of their works
- 4Electrical and Electronic Engineering12% of their works
- 5Environmental Engineering3% of their works
- 6Global and Planetary Change3% of their works
Research topics
Which keywords describe Sebastien Wong's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Object Tracking, Sparse Representation, Visual Tracking, CMOS Image Sensors, Depth Estimation and High-Speed Imaging.
- Image Recognition
- Dimensionality Reduction
- Neural Networks
- Feature Matching
- Small Target
- High-Speed Imaging
- CMOS Image Sensors
- Sparse Representation
- Convolutional Neural Networks
- Deep Learning
- Object Tracking
- Visual Tracking
- Depth Estimation
- Infrared
- Stereo Vision
- Local Descriptors
- Self-Organizing Maps
- Face Recognition
- Object Detection
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 19 words, with their numbers
- Deep Learning184 topics
- Convolutional Neural Networks102 topics
- Object Tracking81 topic
- Sparse Representation82 topics
- Visual Tracking81 topic
- CMOS Image Sensors61 topic
- Depth Estimation61 topic
- High-Speed Imaging61 topic
- Infrared61 topic
- Small Target61 topic
- Stereo Vision61 topic
- Feature Matching51 topic
- Local Descriptors51 topic
- Neural Networks31 topic
- Self-Organizing Maps31 topic
- Dimensionality Reduction21 topic
- Face Recognition21 topic
- Image Recognition21 topic
- Object Detection21 topic
Where does Sebastien Wong work?
Sebastien Wong's main affiliation in the publication record is Defence Science and Technology Group, Australia.
How many publications and citations does Sebastien Wong have?
OpenAlex counts 25 works and 601 citations for Sebastien Wong, an h-index of 8, ranking #2,895,258 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.
Discussion
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