Event Stream Analysis
Event Stream Analysis is a computational method that systematically processes and interprets continuous, real-time sequences of discrete events to extract meaningful patterns, trends, and insights within dynamic systems.
198
Publications
9.6K
Citations
601
Authors
251
Institutions
Publications per year
2017–2026
71
Parents
198
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney et al. · 2019 · 525 citations
CIFAR10-DVS: An Event-Stream Dataset for Object Classification
Hongmin Li, Hanchao Liu, Xiangyang Ji et al. · Frontiers in Neuroscience · 2017 · 500 citations · Full text
EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney et al. · 2018 · 438 citations · Full text
Event-Based Moving Object Detection and Tracking
Anton Mitrokhin, Cornelia Fermüller, Chethan M. Parameshwara et al. · 2018 · 355 citations · Full text
Darko Anicic, Paul Fodor, Sebastian Rudolph et al. · 2011 · 335 citations
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251
ETH Zurich
Zurich, Switzerland
8 h-index
20 publications
1K citations
Microsoft (United States)
Redmond, United States
7 h-index
18 publications
1.1K citations
Technische Universität Braunschweig
Braunschweig, Germany
6 h-index
12 publications
278 citations
Tsinghua University
Beijing, China
5 h-index
20 publications
3K citations

Worcester Polytechnic Institute
Worcester, United States
5 h-index
15 publications
693 citations
Hewlett-Packard (United States)
Palo Alto, United States
4 h-index
11 publications
343 citations

Furtwangen University
Furtwangen im Schwarzwald, Germany
4 h-index
4 publications
185 citations
University of California, Santa Barbara
Santa Barbara, United States
4 h-index
10 publications
528 citations
1–8 of 251
6 publications · 199 citations
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PVLDB · 4 publications · 246 citations
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4 publications · 134 citations
4
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FGCS · 3 publications · 66 citations
3
h-index
3 publications · 547 citations
3
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1–5