Multi-frame Optical Flow
Multi-Frame Optical Flow is an optical flow estimation framework that generalizes the traditional two-frame motion analysis by leveraging temporal information from more than two consecutive frames to improve the accuracy and robustness of motion field prediction.
114
Publications
13.5K
Citations
374
Authors
181
Institutions
Publications per year
2017–2026
61
Parents
114
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang, Deqing Sun, Varan Jampani et al. · 2018 · 853 citations
Flowing ConvNets for Human Pose Estimation in Videos
Tomas Pfister, James Charles, Andrew Zisserman · 2015 · 512 citations
Video Segmentation via Object Flow
Yi–Hsuan Tsai, Ming–Hsuan Yang, Michael J. Black · 2016 · 342 citations
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181
University of Oxford
Oxford, United Kingdom
5 h-index
8 publications
14.8K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
15 publications
331 citations

Zhejiang University
Hangzhou, China
3 h-index
7 publications
1.1K citations
University of Washington
Seattle, United States
3 h-index
5 publications
177 citations
Google (United States)
Mountain View, United States
3 h-index
3 publications
653 citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
3 h-index
10 publications
546 citations
Tsinghua University
Beijing, China
3 h-index
3 publications
143 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
3 h-index
12 publications
1.5K citations
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Repository · 10 publications · 5.7K citations
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4 publications · 157 citations
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3 publications · 130 citations
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3 publications · 34 citations
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2 publications · 43 citations
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