D Du, C Zhang, Y Wang, X Kuang, Y Yang… - … on Frontiers of …, 2021 - dl.acm.org
Structured data storage of surveillance video helps to reduce the time for information retrieval. However, modern surveillance systems have to perform the compressing and …
Transformer-based models have achieved top performance on major video recognition benchmarks. Benefiting from the self-attention mechanism, these models show stronger …
X Zhou - Journal of Information Processing Systems, 2021 - koreascience.kr
Automatically recognizing facial expressions in video sequences is a challenging task because there is little direct correlation between facial features and subjective emotions in …
X Gao, K Wei, J Li, Z Shi, H Zhao, S Niu - Applied Sciences, 2023 - mdpi.com
As an important research direction in image and video processing, set-based video recognition requires speed and accuracy. However, the existing static modeling methods …
L Yu, J Shao, XS Xu, HT Shen - Multimedia Tools and Applications, 2015 - Springer
Patternrecognitionmodels are usually used in a variety of applications ranging from video concept annotation to event detection. In this paper we propose a new framework called the …
Efficiency is an important issue in designing video architectures for action recognition. 3D CNNs have witnessed remarkable progress in action recognition from videos. However …
VR video recognition in complex environment, a motion recognition algorithm based on two- feature fusion and adaptive enhancement is proposed to solve the problems of inaccurate …
In recent years, vision Transformers and MLPs have demonstrated remarkable performance in image understanding tasks. However, their inherently dense computational operators …
This supplementary material contains additional details of the main manuscript, and provides more experiment analysis. In Sec. 1, we present the details of our proposed …