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Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

28 May 2022
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
    3DPC
ArXivPDFHTML

Papers citing "Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training"

50 / 56 papers shown
Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
Ali Alawieh
Alexandru P. Condurache
3DPC
55
0
0
07 May 2025
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
Zixiang Ai
Zichen Liu
Yuanhang Lei
Zhenyu Cui
Xu Zou
Jiahuan Zhou
31
0
0
07 May 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu
Yuxin Wan
Hao Fu
Julius Pfrommer
Zeyun Zhong
Junwei Zheng
Jiaming Zhang
Jürgen Beyerer
3DPC
54
0
0
28 Apr 2025
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
Xuanhua Yin
Dingxin Zhang
Jianhui Yu
Weidong Cai
25
0
0
19 Apr 2025
Spectral Informed Mamba for Robust Point Cloud Processing
Spectral Informed Mamba for Robust Point Cloud Processing
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Sahar Dastani
Milad Cheraghalikhani
David Osowiechi
G. A. V. Hakim
Farzad Beizaee
Ismail ben Ayed
Christian Desrosiers
Mamba
3DPC
69
0
0
06 Mar 2025
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
Kevin Qiu
Dimitri Bulatov
Dorota Iwaszczuk
3DPC
52
0
0
30 Jan 2025
Data-efficient Performance Modeling via Pre-training
Data-efficient Performance Modeling via Pre-training
Chunting Liu
Riyadh Baghdadi
41
0
0
24 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Y. Wang
Wang Chen
Kang Yang
Deying Li
Jianfei Cai
3DPC
77
3
0
17 Jan 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Sahar Dastani Oghani
Milad Cheraghalikhani
David Osowiech
Farzad Beizaee
G. A. V. Hakim
Ismail ben Ayed
Christian Desrosiers
3DPC
TTA
43
0
0
31 Dec 2024
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture
  Correspondence
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence
Vencia Herzog
Stefan Suwelack
3DPC
29
0
0
12 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining
Yunze Liu
Li Yi
Mamba
45
2
0
01 Oct 2024
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud
  Understanding via Self-supervised Learning
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
Keyi Liu
Yeqi Luo
Weidong Yang
Jingyi Xu
Zhijun Li
Wen-Ming Chen
Ben Fei
3DGS
3DPC
38
0
0
08 Sep 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Yunze Man
Shuhong Zheng
Zhipeng Bao
M. Hebert
Liang-Yan Gui
Yu-xiong Wang
70
15
0
05 Sep 2024
P3P: Pseudo-3D Pre-training for Scaling 3D Masked Autoencoders
P3P: Pseudo-3D Pre-training for Scaling 3D Masked Autoencoders
Xuechao Chen
Ying Chen
Jialin Li
Qiang Nie
Hanqiu Deng
Qixing Huang
Yang Li
Yang Li
3DPC
73
0
0
19 Aug 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
N. Sebe
3DPC
45
7
0
08 Jul 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point
  Modeling
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha
Naiqi Li
Yanzi Wang
Tao Dai
Hang Guo
Bin Chen
Zhi Wang
Zhihao Ouyang
Shu-Tao Xia
Mamba
42
8
0
27 May 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Milad Cheraghalikhani
G. A. V. Hakim
David Osowiechi
Farzad Beizaee
Ismail Ben Ayed
Christian Desrosiers
3DPC
75
1
0
20 May 2024
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Ayumu Saito
Prachi Kudeshia
Jiju Poovvancheri
3DPC
37
7
0
25 Apr 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
Jiaxin Zhuang
Linshan Wu
Qiong Wang
V. Vardhanabhuti
Lin Luo
Hao Chen
Hao Chen
54
4
0
24 Apr 2024
Social-MAE: Social Masked Autoencoder for Multi-person Motion
  Representation Learning
Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning
Mahsa Ehsanpour
Ian Reid
Hamid Rezatofighi
ViT
34
0
0
08 Apr 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
43
2
0
01 Mar 2024
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun
Yongcai Wang
Wang Chen
Haoran Deng
Deying Li
VPVLM
46
5
0
24 Feb 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
Yifan Zhang
Siyu Ren
Junhui Hou
Jinjian Wu
Guangming Shi
Guangming Shi
SSL
3DPC
82
3
0
23 Jan 2024
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
Yanlong Li
Chamara Madarasingha
Kanchana Thilakarathna
18
1
0
06 Dec 2023
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D
  Features
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
Thomas Wimmer
Peter Wonka
M. Ovsjanikov
30
9
0
29 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
30
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
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan
Chenyang Ma
Tianle Chen
Cheng Perng Phoo
Katie Z Luo
Yurong You
Mark E. Campbell
Kilian Q. Weinberger
B. Hariharan
Wei-Lun Chao
3DPC
25
4
0
23 Oct 2023
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
Haoyi Zhu
Honghui Yang
Xiaoyang Wu
Di Huang
Sha Zhang
...
Hengshuang Zhao
Chunhua Shen
Yu Qiao
Tong He
Wanli Ouyang
SSL
71
43
0
12 Oct 2023
Learn from Incomplete Tactile Data: Tactile Representation Learning with
  Masked Autoencoders
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders
G. Cao
Jiaqi Jiang
Danushka Bollegala
Shan Luo
20
10
0
14 Jul 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learning
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
16
2
0
11 Jul 2023
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
Le Xue
Ning Yu
Shu Zhen Zhang
Artemis Panagopoulou
Junnan Li
...
Jiajun Wu
Caiming Xiong
Ran Xu
Juan Carlos Niebles
Silvio Savarese
21
115
0
14 May 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
Yaohua Zha
Jinpeng Wang
Tao Dai
Bin Chen
Zhi Wang
Shutao Xia
VLM
40
45
0
14 Apr 2023
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
31
15
0
14 Apr 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong
  Few-shot Learners
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Renrui Zhang
Xiangfei Hu
Bohao Li
Siyuan Huang
Hanqiu Deng
Hongsheng Li
Yu Qiao
Peng Gao
VLM
MLLM
32
170
0
03 Mar 2023
Applying Plain Transformers to Real-World Point Clouds
Applying Plain Transformers to Real-World Point Clouds
Lanxiao Li
M. Heizmann
3DPC
ViT
23
3
0
28 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
32
117
0
05 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Liya Wang
A. Tien
39
7
0
28 Jan 2023
Ponder: Point Cloud Pre-training via Neural Rendering
Ponder: Point Cloud Pre-training via Neural Rendering
Di Huang
Sida Peng
Tong He
Honghui Yang
Xiaowei Zhou
Wanli Ouyang
SSL
3DPC
36
41
0
31 Dec 2022
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
  Representation Learning
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
115
169
0
30 Dec 2022
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
33
124
0
13 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
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Honghui Yang
Tong He
Jiaheng Liu
Huaguan Chen
Boxi Wu
Binbin Lin
Xiaofei He
Wanli Ouyang
40
58
0
06 Dec 2022
i-MAE: Are Latent Representations in Masked Autoencoders Linearly
  Separable?
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
Kevin Zhang
Zhiqiang Shen
20
8
0
20 Oct 2022
Vision-Centric BEV Perception: A Survey
Vision-Centric BEV Perception: A Survey
Yuexin Ma
Tai Wang
Xuyang Bai
Huitong Yang
Yuenan Hou
Yaming Wang
Yu Qiao
Ruigang Yang
Dinesh Manocha
Xinge Zhu
41
129
0
04 Aug 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision
  and Beyond
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Chaoning Zhang
Chenshuang Zhang
Junha Song
John Seon Keun Yi
Kang Zhang
In So Kweon
SSL
52
71
0
30 Jul 2022
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point
  Clouds
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
Georg Hess
Johan Jaxing
Elias Svensson
David Hagerman
Christoffer Petersson
Lennart Svensson
3DPC
ViT
23
33
0
01 Jul 2022
UniFormer: Unifying Convolution and Self-attention for Visual
  Recognition
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
Kunchang Li
Yali Wang
Junhao Zhang
Peng Gao
Guanglu Song
Yu Liu
Hongsheng Li
Yu Qiao
ViT
144
361
0
24 Jan 2022
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
166
435
0
04 Dec 2021
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
305
7,434
0
11 Nov 2021
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