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STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action
  Recognition

STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition

31 March 2023
Xiaoyu Zhu
Po-Yao (Bernie) Huang
Junwei Liang
Celso M. de Melo
Alexander G. Hauptmann
ArXivPDFHTML

Papers citing "STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition"

8 / 8 papers shown
Title
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis
Xuehao Gao
Yang Yang
Shaoyi Du
Guo-Jun Qi
Junwei Han
31
1
0
01 Mar 2025
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan S. Kankanhalli
3DPC
104
108
0
27 May 2022
LocATe: End-to-end Localization of Actions in 3D with Transformers
LocATe: End-to-end Localization of Actions in 3D with Transformers
Jiankai Sun
Bolei Zhou
Michael J. Black
Arjun Chandrasekaran
47
7
0
21 Mar 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
255
7,337
0
11 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
Bin Ren
Mengyuan Liu
Runwei Ding
Hong Liu
16
118
0
14 Feb 2020
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional
  Neural Networks
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
Pichao Wang
W. Li
Zhimin Gao
Chang-Fu Tang
P. Ogunbona
3DV
95
137
0
17 Mar 2018
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
210
13,886
0
02 Dec 2016
1