Semantic2Graph: graph-based multi-modal feature fusion for action segmentation in videos-Reference-Cited by-同舟云学术

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Semantic2Graph: graph-based multi-modal feature fusion for action segmentation in videos

Published:2024-01 Issue:2 Volume:54 Page:2084-2099
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Zhang Junbin,Tsai Pei-Hsuan^ORCID,Tsai Meng-Hsun

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05259-z.pdf

Reference40 articles.

1. Zeng RH, Huang WB, Tan MK, Rong Y, Zhao PL, Huang JZ, Gan C (2021) Graph convolutional module for temporal action localization in videos. IEEE Trans Pattern Anal Mach Intell. https://doi.org/10.1109/TPAMI.2021.3090167

2. Shu X, Yang J, Yan R, Song Y (2022) Expansion-squeeze-excitation fusion network for elderly activity recognition. IEEE Trans Circuits Syst Video Technol 32(8):5281–5292. https://doi.org/10.1109/TCSVT.2022.3142771

3. Huang Y, Sugano Y, Sato Y (2020) Improving action segmentation via graph-based temporal reasoning. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), pp 14024–14034. https://doi.org/10.1109/CVPR42600.2020.01404

4. Wang M, Xing J, Liu Y (2021) Actionclip: a new paradigm for video action recognition. Preprint in https://arxiv.org/abs/2109.08472

5. Khan H, Haresh S, Ahmed A, Siddiqui S, Konin A, Zia MZ, Tran QH (2022) Timestamp-supervised action segmentation with graph convolutional networks. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 10619–10626. https://doi.org/10.1109/IROS47612.2022.9981351

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1. Robotic Imitation of Human Actions;2024 IEEE International Conference on Development and Learning (ICDL);2024-05-20

2. Graph-Based Multi-Modal Multi-View Fusion for Facial Action Unit Recognition;IEEE Access;2024

3. Understanding Human Work Behavior by Action Segmentation Model with Feature Selection;2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2023-12-04

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