Concepedia

Self-supervised Learning For Point Clouds

Self-Supervised Learning for Point Clouds is a machine learning paradigm that enables the extraction of meaningful representations from unlabeled three-dimensional point cloud data by leveraging intrinsic geometric or structural priors to define pretext tasks that guide feature learning without human-annotated labels.

154

Publications

7.2K

Citations

520

Authors

156

Institutions

Publications per year

2017–2026

154

Parents

Publications

154

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

Xuyang Bai, Zixin Luo, Lei Zhou et al. · 2020 · 495 citations

, , +16

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

Mohamed Afham, Isuru Dissanayake, D. M. K. N. L. Dissanayake et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 291 citations

, , +16

Self-Supervised Pretraining of 3D Features on any Point-Cloud

Zaiwei Zhang, Rohit Girdhar, Armand Joulin et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 271 citations

, , +16

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

Siyuan Huang, Yichen Xie, Song‐Chun Zhu et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 189 citations

, , +16

ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

Jihan Yang, Shaoshuai Shi, Zhe Wang et al. · 2021 · 187 citations

, , +15

1–5 of 154

Authors

520

  1. CS
    Cyrill Stachniss

    University of Bonn, Germany

    5 publications · 164 citations

    5

    h-index

  2. JB
    Jens Behley

    University of Bonn, Germany

    5 publications · 164 citations

    5

    h-index

  3. HL
    Hongsheng Li

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 459 citations

    5

    h-index

  4. XC
    Xieyuanli Chen

    National University of Defense Technology, China

    4 publications · 144 citations

    4

    h-index

  5. AB
    Alexandre Boulch

    Valeo (France), France

    3 publications · 166 citations

    4

    h-index

1–5 of 520

Institutions

156

  1. Tsinghua University

    Beijing, China

    11 h-index

    20 publications

    1.3K citations

  2. Shanghai Jiao Tong University

    Shanghai, China

    9 h-index

    16 publications

    616 citations

  3. Peking University

    Beijing, China

    9 h-index

    17 publications

    1.3K citations

  4. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    8 h-index

    16 publications

    1.2K citations

  5. University of Hong Kong

    Pok Fu Lam, Hong Kong

    7 h-index

    8 publications

    861 citations

  6. University of Bonn

    Bonn, Germany

    6 h-index

    24 publications

    845 citations

  7. Carnegie Mellon University

    Pittsburgh, United States

    5 h-index

    12 publications

    554 citations

  8. Peng Cheng Laboratory

    Shenzhen, China

    5 h-index

    10 publications

    512 citations

1–8 of 156

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 811 citations

    14

    h-index

  2. 9

    h-index

  3. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 8 publications · 898 citations

    8

    h-index

  4. IEEE Robotics and Automation Letters

    6 publications · 199 citations

    7

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 238 citations

    5

    h-index

1–5