Dense Optical Flow
Dense Optical Flow is a type of optical flow computation that estimates the motion vector for every pixel in an image, distinguishing itself from sparse approaches by providing a comprehensive, pixel-level velocity field across the entire visual frame.
354
Publications
36.9K
Citations
1K
Authors
423
Institutions
Publications per year
2017–2026
147
Parents
354
Action Recognition with Improved Trajectories
Heng Wang, Cordelia Schmid · 2013 · 3.5K citations · Full text
Action recognition by dense trajectories
Heng Wang, Alexander Kläser, Cordelia Schmid et al. · 2011 · 2.2K citations · Full text
1–5 of 354
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Institut national de recherche en sciences et technologies du numérique, France
6 publications · 7.6K citations
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5
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5
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5
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1–5 of 1K
423
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
14 h-index
32 publications
20.2K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
28 publications
4.8K citations
ETH Zurich
Zurich, Switzerland
11 h-index
27 publications
1.6K citations
University of California, Berkeley
Berkeley, United States
9 h-index
14 publications
3.9K citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
7 h-index
15 publications
1.5K citations

Australian National University
Canberra, Australia
6 h-index
11 publications
577 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
14 publications
572 citations

Johns Hopkins University
Baltimore, United States
6 h-index
16 publications
1.1K citations
1–8 of 423
Repository · 17 publications · 5.8K citations
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TPAMI · 13 publications · 3.3K citations
13
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12 publications · 839 citations
12
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10 publications · 487 citations
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7 publications · 997 citations
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