MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer

Authors

Shotaro Tora
Ryo Masumura (ORCID: https://orcid.org/0000-0002-2415-4149)
Satoshi Suzuki (ORCID: https://orcid.org/0000-0002-1423-3767)
Taiga Yamane

Institutions

NTT (Japan) (JP)

Publication Details

Published: 2024-09-27
DOI: https://doi.org/10.1109/icip51287.2024.10648200
Citations: 1
Primary Topic: Human Pose and Action Recognition
Type: article
Field-Weighted Citation Impact: 0.25

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article

MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer

Shotaro Tora, Ryo Masumura, Satoshi Suzuki, Taiga Yamane

Sep 27, 2024

1 citations

Human Pose and Action Recognition

0.25

article

MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer

Shotaro Tora, Ryo Masumura, Satoshi Suzuki, Taiga Yamane

September 27, 2024article en

1 citations

Abstract

No abstract available for this paper.

NTT (Japan) (JP)

Openalex Percentile: Top 47%

Human Pose and Action Recognition

0.25

DOI Source OpenAlex

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MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer — Shotaro Tora, Ryo Masumura, et al. · (2024) | TGRS Research Map | TGRS