Concepedia

Sparse-to-dense Depth Estimation

Sparse-To-Dense Depth Estimation is a depth estimation method that belongs to the category of depth reconstruction techniques and is distinguished by its specific approach of generating dense depth maps from sparse depth measurements through spatial interpolation and contextual reasoning.

55

Publications

4.9K

Citations

197

Authors

73

Institutions

Publications per year

2017–2026

44

Parents

Publications

55

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

Fangchang Ma, Sertaç Karaman · 2018 · 658 citations

, , +17

Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera

Fangchang Ma, Guilherme V. Cavalheiro, Sertaç Karaman · 2019 · 472 citations

, , +17

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image

Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang et al. · 2019 · 403 citations

, , +15

PENet: Towards Precise and Efficient Image Guided Depth Completion

Mu Hu, Shuling Wang, Bin Li et al. · 2021 · 310 citations

, , +14

Learning the Depths of Moving People by Watching Frozen People

Zhengqi Li, Tali Dekel, Forrester Cole et al. · 2019 · 246 citations · Full text

, , +16

1–5 of 55

Authors

197

  1. SK
    Sertaç Karaman

    Massachusetts Institute of Technology, United States

    4 publications · 1.3K citations

    4

    h-index

  2. FM
    Fangchang Ma

    Massachusetts Institute of Technology, United States

    4 publications · 1.3K citations

    4

    h-index

  3. SS
    Stefano Soatto

    University of California, Los Angeles, United States

    3 publications · 208 citations

    3

    h-index

  4. AW
    Alex Wong

    University of California, Los Angeles, United States

    3 publications · 208 citations

    3

    h-index

  5. FC
    Forrester Cole

    Google (United States), United States

    2 publications · 275 citations

    2

    h-index

1–5 of 197

Institutions

73

  1. Huazhong University of Science and Technology

    Wuhan, China

    3 h-index

    7 publications

    488 citations

  2. University of California, Los Angeles

    Los Angeles, United States

    3 h-index

    14 publications

    963 citations

  3. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    3 h-index

    4 publications

    495 citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    8 publications

    2.8K citations

  5. Google (United States)

    Mountain View, United States

    3 h-index

    14 publications

    2.3K citations

  6. Wuhan University

    Wuhan, China

    2 h-index

    4 publications

    208 citations

  7. ShanghaiTech University

    Shanghai, China

    2 h-index

    4 publications

    516 citations

  8. The University of Tokyo

    Tokyo, Japan

    2 h-index

    5 publications

    119 citations

1–8 of 73

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 234 citations

    8

    h-index

  2. IEEE Robotics and Automation Letters

    3 publications · 163 citations

    3

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Image Processing

    2 publications · 217 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 157 citations

    2

    h-index

1–5