3 papers
cs.CV2024
An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition
Song-Jiang Lai, Tsun-Hin Cheung, Ka-Chun Fung +2
With the rapid advancements in deep learning, computer vision tasks have seen significant improvements, making two-stream neural networks a popular focus for video based action rec…
cs.CV2022
Deep Progressive Feature Aggregation Network for High Dynamic Range Imaging
Jun Xiao, Qian Ye, Tianshan Liu +2
High dynamic range (HDR) imaging is an important task in image processing that aims to generate well-exposed images in scenes with varying illumination. Although existing multi-exp…
cs.CV2020
Deep Multi-task Learning for Facial Expression Recognition and Synthesis Based on Selective Feature Sharing
Rui Zhao, Tianshan Liu, Jun Xiao +2
Multi-task learning is an effective learning strategy for deep-learning-based facial expression recognition tasks. However, most existing methods take into limited consideration th…