most citedDistilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement

Jingcheng Li, Ye Qiao, Haocheng Xu +1

Images captured under low-light scenarios often suffer from low quality. Previous CNN-based deep learning methods often involve using Retinex theory. Nevertheless, most of them can…

cs.HC2023★ 2 cited

Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition

Jingcheng Li, Lina Yao, Binghao Li +1

Human Activity Recognition is an important task in many human-computer collaborative scenarios, whilst having various practical applications. Although uni-modal approaches have bee…