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GeoMAE: Masked Geometric Target Prediction for Self-supervised Point
  Cloud Pre-Training

GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

15 May 2023
Xiaoyu Tian
Haoxi Ran
Yue Wang
Hang Zhao
    3DPC
    ViT
ArXivPDFHTML

Papers citing "GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training"

26 / 26 papers shown
Title
LiSu: A Dataset and Method for LiDAR Surface Normal Estimation
Dušan Malić
Christian Fruhwirth-Reisinger
Samuel Schulter
Horst Possegger
3DV
50
0
0
11 Mar 2025
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation
Ziliang Miao
Runjian Chen
Yixi Cai
Buwei He
Wenquan Zhao
Wenqi Shao
Bo-Wen Zhang
Fu Zhang
3DPC
49
0
0
10 Mar 2025
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
Mohamed Abdelsamad
Michael Ulrich
Claudius Gläser
Abhinav Valada
3DPC
37
0
0
27 Feb 2025
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
Hao Liu
Minglin Chen
Yanni Ma
Haihong Xiao
Ying He
3DGS
3DPC
73
0
0
27 Nov 2024
CooPre: Cooperative Pretraining for V2X Cooperative Perception
CooPre: Cooperative Pretraining for V2X Cooperative Perception
Seth Z. Zhao
Hao Xiang
Chenfeng Xu
Xin Xia
Bolei Zhou
Jiaqi Ma
3DPC
40
1
0
20 Aug 2024
Masked Image Modeling: A Survey
Masked Image Modeling: A Survey
Vlad Hondru
Florinel-Alin Croitoru
Shervin Minaee
Radu Tudor Ionescu
N. Sebe
59
6
0
13 Aug 2024
Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation
  Pretraining
Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining
Tianfang Sun
Zhizhong Zhang
Xin Tan
Yanyun Qu
Yuan Xie
20
0
0
10 Jul 2024
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving
  Representation Learning
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
Jialv Zou
Bencheng Liao
Qian Zhang
Wenyu Liu
Xinggang Wang
30
0
0
13 Mar 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local
  Reference Frames for Rotation-invariant 3D Point Set Analysis
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis
Takahiko Furuya
3DPC
30
2
0
01 Mar 2024
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation
  Learning of Vision-based Autonomous Driving
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving
Yichen Xie
Hongge Chen
Gregory P. Meyer
Yong Jae Lee
Eric M. Wolff
Masayoshi Tomizuka
Wei Zhan
Yuning Chai
Xin Huang
3DPC
24
1
0
23 Feb 2024
Forging Vision Foundation Models for Autonomous Driving: Challenges,
  Methodologies, and Opportunities
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities
Xu Yan
Haiming Zhang
Yingjie Cai
Jingming Guo
Weichao Qiu
...
Lihui Jiang
Wei Zhang
Hongbo Zhang
Dengxin Dai
Bingbing Liu
51
16
0
16 Jan 2024
Masked Modeling for Self-supervised Representation Learning on Vision
  and Beyond
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond
Siyuan Li
Luyuan Zhang
Zedong Wang
Di Wu
Lirong Wu
...
Jun-Xiong Xia
Cheng Tan
Yang Liu
Baigui Sun
Stan Z. Li
SSL
29
13
0
31 Dec 2023
Towards Compact 3D Representations via Point Feature Enhancement Masked
  Autoencoders
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
Yaohua Zha
Huizhen Ji
Jinmin Li
Rongsheng Li
Tao Dai
Bin Chen
Zhi Wang
Shu-Tao Xia
3DPC
19
21
0
17 Dec 2023
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation
  Learning
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
Weijie Wei
F. Karimi Nejadasl
Theo Gevers
Martin R. Oswald
3DPC
23
3
0
15 Dec 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie
Shuang Li
Qingju Guo
Chi Harold Liu
Xinjing Cheng
VLM
19
8
0
31 Oct 2023
Pre-training with Random Orthogonal Projection Image Modeling
Pre-training with Random Orthogonal Projection Image Modeling
Maryam Haghighat
Peyman Moghadam
Shaheer Mohamed
Piotr Koniusz
VLM
10
7
0
28 Oct 2023
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
Honghui Yang
Sha Zhang
Di Huang
Xiaoyang Wu
Haoyi Zhu
...
Hengshuang Zhao
Qibo Qiu
Binbin Lin
Xiaofei He
Wanli Ouyang
SSL
21
44
0
12 Oct 2023
M$^3$CS: Multi-Target Masked Point Modeling with Learnable Codebook and
  Siamese Decoders
M3^33CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders
Qibo Qiu
Honghui Yang
Wenxiao Wang
Shun Zhang
Haiming Gao
Haochao Ying
Wei Hua
Xiaofei He
3DPC
18
0
0
23 Sep 2023
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
Georg Krispel
David Schinagl
Christian Fruhwirth-Reisinger
Horst Possegger
Horst Bischof
3DPC
28
14
0
14 Dec 2022
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud
  Pre-training in Autonomous Driving Scenarios
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
Zhiwei Lin
Yongtao Wang
Shengxiang Qi
Nan Dong
Ming-Hsuan Yang
3DPC
11
13
0
12 Dec 2022
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point
  Clouds with Masked Occupancy Autoencoders
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
Chen Min
Xinli Xu
Dawei Zhao
Liang Xiao
Yiming Nie
Bin Dai
3DPC
19
48
0
20 Jun 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
120
267
0
07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
136
618
0
21 Jul 2020
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
155
482
0
26 Aug 2019
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
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