3 papers
cs.CV2023
AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning
Xijun Wang, Ruiqi Xian, Tianrui Guan +4
We propose a novel approach for aerial video action recognition. Our method is designed for videos captured using UAVs and can run on edge or mobile devices. We present a learning-…
cs.CV2023
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition
Xiaoyu Zhu, Po-Yao Huang, Junwei Liang +2
We study the problem of human action recognition using motion capture (MoCap) sequences. Unlike existing techniques that take multiple manual steps to derive standardized skeleton…
cs.CV2023
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
Arun V. Reddy, Ketul Shah, William Paul +6
Human action recognition is a challenging problem, particularly when there is high variability in factors such as subject appearance, backgrounds and viewpoint. While deep neural n…