Motion Uncertainty Quantification
Motion Uncertainty Quantification is a systematic method for characterizing and measuring the unpredictability and variability in the estimation or prediction of motion states within dynamic systems, distinguished by its focus on quantifying statistical confidence and error bounds associated with motion parameters.
46
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3K
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148
Authors
82
Institutions
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2017–2026
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Dual Motion GAN for Future-Flow Embedded Video Prediction
Xiaodan Liang, Lisa Lee, Wei Dai et al. · 2017 · 343 citations
Volker Rudat, P. Schraube, Dieter Oetzel et al. · International Journal of Radiation Oncology*Biology*Physics · 1996 · 160 citations
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The University of Osaka
Osaka, Japan
3 h-index
6 publications
125 citations
University Medical Center Utrecht
Utrecht, The Netherlands
2 h-index
12 publications
380 citations
Heidelberg University
Heidelberg, Germany
2 h-index
13 publications
1.1K citations
University of Connecticut
Storrs, United States
2 h-index
5 publications
67 citations
University of Iowa
Iowa City, United States
2 h-index
4 publications
48 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
187 citations
University of Arts
Tirana, Albania
1 h-index
1 publications
14 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
192 citations
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2 publications · 41 citations
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2 publications · 745 citations
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2 publications · 24 citations
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Repository · 1 publications · 61 citations
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Repository · 1 publications · 16 citations
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