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Masked Autoencoder for Self-Supervised Pre-training on Lidar Point
  Clouds

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds

1 July 2022
Georg Hess
Johan Jaxing
Elias Svensson
David Hagerman
Christoffer Petersson
Lennart Svensson
    3DPC
    ViT
ArXivPDFHTML

Papers citing "Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds"

25 / 25 papers shown
Title
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Shumin Wang
Zhuoran Yang
L. Wang
Zhipeng Tang
Heng Li
Lehan Pan
Sha Zhang
Jie Peng
J. Ji
Y. Zhang
3DPC
41
0
0
17 Apr 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
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
ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their
  Self-Supervised Pretraining
ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining
Qi Ma
Yue Li
Bin Ren
N. Sebe
E. Konukoglu
Theo Gevers
Luc Van Gool
D. Paudel
3DGS
3DPC
28
10
0
20 Aug 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
Ben Agro
Quinlan Sykora
Sergio Casas
Thomas Gilles
R. Urtasun
24
13
0
12 Jun 2024
Sense Less, Generate More: Pre-training LiDAR Perception with Masked
  Autoencoders for Ultra-Efficient 3D Sensing
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
Sina Tayebati
Theja Tulabandhula
A. R. Trivedi
28
5
0
12 Jun 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
  Driving
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
26
5
0
13 May 2024
Unifying Local and Global Multimodal Features for Place Recognition in
  Aliased and Low-Texture Environments
Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
Alberto García-Hernández
Riccardo Giubilato
Klaus H. Strobl
Javier Civera
Rudolph Triebel
32
2
0
20 Mar 2024
Towards Transferable Multi-modal Perception Representation Learning for
  Autonomy: NeRF-Supervised Masked AutoEncoder
Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder
Xiaohao Xu
28
0
0
23 Nov 2023
Instance-aware 3D Semantic Segmentation powered by Shape Generators and
  Classifiers
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers
Bo Sun
Qixing Huang
Xiangru Huang
3DV
3DPC
17
0
0
21 Nov 2023
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
Hao-Yu Yang
Haiyang Wang
Di Dai
Liwei Wang
3DPC
13
4
0
08 Nov 2023
Three Pillars improving Vision Foundation Model Distillation for Lidar
Three Pillars improving Vision Foundation Model Distillation for Lidar
Gilles Puy
Spyros Gidaris
Alexandre Boulch
Oriane Siméoni
Corentin Sautier
Patrick Pérez
Andrei Bursuc
Renaud Marlet
95
18
0
26 Oct 2023
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR
  Point Clouds
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds
Yushan Han
Hui Zhang
Honglei Zhang
Yidong Li
3DPC
17
2
0
03 Jul 2023
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
MaskedFusion360: Reconstruct LiDAR Data by Querying Camera Features
Royden Wagner
Marvin Klemp
Carlos Fernandez Lopez
3DPC
17
1
0
12 Jun 2023
FlowFormer: A Transformer Architecture and Its Masked Cost Volume
  Autoencoding for Optical Flow
FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow
Zhaoyang Huang
Xiaoyu Shi
Chao Zhang
Qiang Wang
Yijin Li
Hongwei Qin
Jifeng Dai
Xiaogang Wang
Hongsheng Li
19
4
0
08 Jun 2023
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud
  Dataset
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset
Jiakang Yuan
Bo-Wen Zhang
Xiangchao Yan
Tao Chen
Botian Shi
Yikang Li
Yu Qiao
3DPC
8
24
0
01 Jun 2023
GTNet: Graph Transformer Network for 3D Point Cloud Classification and
  Semantic Segmentation
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation
Wei Zhou
Qian Wang
Weiwei Jin
X. Shi
Yong Yu
ViT
3DPC
12
4
0
24 May 2023
OpenShape: Scaling Up 3D Shape Representation Towards Open-World
  Understanding
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu
Ruoxi Shi
Kaiming Kuang
Yinhao Zhu
Xuanlin Li
Shizhong Han
H. Cai
Fatih Porikli
Hao Su
3DPC
22
115
0
18 May 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Liya Wang
A. Tien
24
6
0
28 Jan 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
26
14
0
14 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
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
169
241
0
28 May 2022
Transformers in 3D Point Clouds: A Survey
Transformers in 3D Point Clouds: A Survey
Dening Lu
Qian Xie
Mingqiang Wei
Kyle Gao
Linlin Xu
Jonathan Li
3DPC
ViT
30
47
0
16 May 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
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
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