Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild-Reference-Cited by-同舟云学术

Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Wu Yanhao¹,Zhang Tong²,Ke Wei¹,Susstrunk Sabine²,Salzmann Mathieu²

Affiliation:

1. School of Software Engineering, Xi'an Jiaotong University,China

2. School of Computer and Communication Sciences, EPFL,Switzerland

Funder

National Natural Science Foundation of China

Swiss National Science Foundation

Publisher

IEEE

Link

Reference46 articles.

2. Self-supervised deep learning on point clouds by reconstructing space;sauder;Advances in neural information processing systems,2019

5. A density-based algorithm for discovering clusters in large spatial databases with noise;ester;KDD,0

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-Supervised Learning of 3D Point Clouds: A Survey;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

3. MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Generating Point Cloud Augmentations via Class-Conditioned Diffusion Model;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

5. Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01