A Unified Framework for Human-centric Point Cloud Video Understanding

A Unified Framework for Human-centric Point Cloud Video Understanding

29 March 2024

Xinge Zhu

Yuexin Ma

Papers citing "A Unified Framework for Human-centric Point Cloud Video Understanding"

7 / 7 papers shown

Title
Gait Recognition in Large-scale Free Environment via Single LiDAR Xiaoyu Han Yiming Ren Peishan Cong Yujing Sun Jingya Wang Lan Xu Yuexin Ma 3DV CVBM 13 11 0 22 Nov 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 164 241 0 28 May 2022
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan Xin Yu Yuhang Ding Yi Yang Mohan S. Kankanhalli 3DPC 112 108 0 27 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
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 107 161 0 22 Jul 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 134 618 0 21 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016