T-MAE: Temporal Masked Autoencoders for Point Cloud Representation
Learning

T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning

15 December 2023

F. Karimi Nejadasl

Martin R. Oswald

Papers citing "T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning"

9 / 9 papers shown

Title
4D Contrastive Superflows are Dense 3D Representation Learners Xiang Xu Lingdong Kong Hui Shuai Wenwei Zhang Liang Pan Kai Chen Ziwei Liu Qingshan Liu 3DPC 39 7 0 08 Jul 2024
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training Runsen Xu Tai Wang Wenwei Zhang Runjian Chen Jinkun Cao Jiangmiao Pang Dahua Lin 3DPC 29 28 0 23 Mar 2023
Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis Xu Yan Heshen Zhan Chaoda Zheng Jiantao Gao Ruimao Zhang Shuguang Cui Zhen Li 3DPC 49 30 0 09 Oct 2022
Masked Autoencoders in 3D Point Cloud Representation Learning Jincen Jiang Xuequan Lu Lizhi Zhao Richard Dazeley Meili Wang 3DPC ViT 49 28 0 04 Jul 2022
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 167 241 0 28 May 2022
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 Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
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 Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 136 618 0 21 Jul 2020