Ensemble Tracking
Ensemble Tracking is a methodological framework within ensemble performance analysis that systematically monitors and evaluates the dynamic interactions and individual contributions of component models over time to assess collective behavior and performance evolution.
20
Publications
1.2K
Citations
68
Authors
33
Institutions
Publications per year
2017–2026
9
20
Understanding and Diagnosing Visual Tracking Systems
Naiyan Wang, Jianping Shi, Dit‐Yan Yeung et al. · 2015 · 333 citations
Qinxun Bai, Zheng Wu, Stan Sclaroff et al. · 2013 · 105 citations
1–5 of 20
68
3
h-index
3
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 477 citations
3
h-index
3
h-index
3
h-index
1–5 of 68
33
Duke University
Durham, United States
3 h-index
11 publications
365 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
4 publications
848 citations
Xi’an Jiaotong-Liverpool University
Suzhou, China
1 h-index
4 publications
116 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
2 publications
666 citations

Kyoto University
Kyoto, Japan
1 h-index
3 publications
87 citations

Nile University
Giza, Egypt
1 h-index
3 publications
45 citations
Google (United States)
Mountain View, United States
1 h-index
2 publications
344 citations
Huawei Technologies (United Kingdom)
Basingstoke, United Kingdom
1 h-index
1 publications
17 citations
1–8 of 33
2 publications · 75 citations
2
h-index
2 publications · 65 citations
2
h-index
1 publications · 29 citations
1
h-index
Repository · 1 publications · 91 citations
1
h-index
1 publications · 30 citations
1
h-index
1–5