Video-based Depth Estimation
Video-Based Depth Estimation is a depth estimation methodology that derives per-frame depth maps from video sequences by leveraging temporal consistency and motion coherence across consecutive frames to enhance depth prediction accuracy.
66
Publications
3.5K
Citations
248
Authors
115
Institutions
Publications per year
2017–2026
44
Parents
66
A survey of human motion analysis using depth imagery
Lulu Chen, James Ferryman · Pattern Recognition Letters · 2013 · 376 citations
Space-time Neural Irradiance Fields for Free-Viewpoint Video
Wenqi Xian, Jia‐Bin Huang, Johannes Kopf et al. · 2021 · 352 citations
Action recognition for depth video using multi-view dynamic images
Yang Xiao, Jun Chen, Yancheng Wang et al. · Information Sciences · 2018 · 127 citations
Exploiting Temporal Consistency for Real-Time Video Depth Estimation
Haokui Zhang, Ying Li, Yuanzhouhan Cao et al. · 2019 · 126 citations
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115

Huazhong University of Science and Technology
Wuhan, China
3 h-index
13 publications
922 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
8 publications
181 citations
Princeton University
Princeton, United States
3 h-index
6 publications
454 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
65 citations
Meta (Israel)
Tel Aviv, Israel
2 h-index
3 publications
796 citations
Chang'an University
Xi'an, China
2 h-index
6 publications
294 citations
Adobe Systems (United States)
San Jose, United States
2 h-index
3 publications
233 citations

The University of Western Australia
Perth, Australia
2 h-index
6 publications
294 citations
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Repository · 6 publications · 165 citations
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3 publications · 87 citations
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2 publications · 92 citations
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2 publications · 57 citations
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2 publications · 127 citations
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