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Cited By

Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based
Action Recognition

Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition

17 July 2022

Jie Zhou

ArXiv (abs)PDF HTML Github (8★)

Papers citing "Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition"

5 / 5 papers shown

Recovering Complete Actions for Cross-dataset Skeleton Action
Recognition

Recovering Complete Actions for Cross-dataset Skeleton Action RecognitionNeural Information Processing Systems (NeurIPS), 2024

327

3

0

31 Oct 2024

Joint-Dataset Learning and Cross-Consistent Regularization for
Text-to-Motion Retrieval

Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval

J. Sedmidubský

Fabrizio Falchi

Tomáš Rebok

281

0

0

02 Jul 2024

Vision Transformers in Domain Adaptation and Generalization: A Study of
Robustness

Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness

Homayoun Najjaran

404

1

0

05 Apr 2024

Two-stream Multi-level Dynamic Point Transformer for Two-person
Interaction Recognition

Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition

Xiaojun Chang

280

8

0

22 Jul 2023

Human Action Recognition from Various Data Modalities: A Review

Human Action Recognition from Various Data Modalities: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020

Zehua Sun

Hossein Rahmani

Mohammed Bennamoun

Jun Liu

779

751

0

22 Dec 2020

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