Sparse Optical Flow
Sparse Optical Flow is a method in computer vision that estimates the motion vectors of a sparse set of distinctive image points between consecutive frames, differing from dense optical flow by focusing only on salient, feature-rich locations rather than all pixels.
144
Publications
7.2K
Citations
477
Authors
216
Institutions
Publications per year
2017–2026
48
Parents
144
EpicFlow: Edge-preserving interpolation of correspondences for optical flow
Jérôme Revaud, Philippe Weinzaepfel, Zaïd Harchaoui et al. · 2015 · 757 citations · Full text
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
Yuwen Xiong, Zhiqi Li, Yuntao Chen et al. · 2024 · 221 citations
1–5 of 144
477
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3
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National Institute of Standards and Technology, United States
3 publications · 245 citations
3
h-index
Institut national de recherche en sciences et technologies du numérique, France
3 publications · 1K citations
3
h-index
2
h-index
1–5 of 477
216

Centre National de la Recherche Scientifique
Paris, France
5 h-index
8 publications
1.1K citations
ETH Zurich
Zurich, Switzerland
4 h-index
8 publications
923 citations

Northeastern University
Shenyang, China
4 h-index
16 publications
214 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
16 publications
462 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
9 publications
383 citations
University of Maryland, College Park
College Park, United States
4 h-index
7 publications
208 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
13 publications
4.1K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
8 publications
891 citations
1–8 of 216
6 publications · 408 citations
6
h-index
Repository · 4 publications · 125 citations
4
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CVIU · 4 publications · 233 citations
4
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5 publications · 462 citations
4
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3 publications · 71 citations
3
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1–5