Event-based Vision
Event-Based Vision is a computational sensing paradigm in robot sensors that, unlike traditional frame-based vision, captures visual information asynchronously through a stream of sparse, time-stamped pixel-level brightness changes, enabling high temporal resolution, low latency, and reduced data redundancy.
417
Publications
27.6K
Citations
1.1K
Authors
348
Institutions
Publications per year
2017–2026
306
Variants
Event Vision
Parents
417
1–5 of 417
1.1K
32
h-index
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348
University of Zurich
Zurich, Switzerland
44 h-index
178 publications
20.6K citations
ETH Zurich
Zurich, Switzerland
36 h-index
156 publications
14.2K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
26 h-index
77 publications
5.8K citations
Institut de la Vision
Paris, France
23 h-index
78 publications
7K citations

Sorbonne Université
Paris, France
18 h-index
63 publications
5.4K citations

Centre National de la Recherche Scientifique
Paris, France
18 h-index
74 publications
5.4K citations

Universidad de Sevilla
Seville, Spain
16 h-index
53 publications
3.1K citations
National University of Singapore
Singapore, Singapore
16 h-index
61 publications
3.2K citations
1–8 of 348
23 publications · 1.7K citations
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19 publications · 1.4K citations
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TPAMI · 16 publications · 1.8K citations
16
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Repository · 17 publications · 583 citations
14
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11 publications · 250 citations
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