Dense Depth Estimation
Dense Depth Estimation is a depth estimation method that generates a depth value for every pixel in an image, distinguishing itself from sparse approaches by providing a complete, high-resolution depth map of the scene.
426
Publications
33.5K
Citations
1.3K
Authors
412
Institutions
Publications per year
2017–2026
255
Parents
426
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
Keisuke Tateno, Federico Tombari, Iro Laina et al. · 2017 · 753 citations
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412

Zhejiang University
Hangzhou, China
14 h-index
41 publications
4K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
13 h-index
22 publications
2.3K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
11 h-index
23 publications
1.4K citations
Tsinghua University
Beijing, China
11 h-index
22 publications
704 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
11 h-index
38 publications
1.1K citations
ETH Zurich
Zurich, Switzerland
10 h-index
18 publications
1.9K citations

Huazhong University of Science and Technology
Wuhan, China
10 h-index
39 publications
2.4K citations
Google (United States)
Mountain View, United States
9 h-index
77 publications
9.6K citations
1–8 of 412
Repository · 36 publications · 1.4K citations
22
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15 publications · 804 citations
15
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TPAMI · 17 publications · 4.6K citations
15
h-index
12 publications · 463 citations
11
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10 publications · 563 citations
10
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