35 citations · 62 across the 5 of their papers we have counts for
5 papers
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels
Zhongchen Ma, Lisha Li, Qirong Mao +1
Contrastive learning (CL) has shown impressive advances in image representation learning in whichever supervised multi-class classification or unsupervised learning. However, these…
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
Qirong Mao, Ling Zhou, Wenming Zheng +2
Micro-expression recognition (\textbf{MER}) has attracted lots of researchers' attention in a decade. However, occlusion will occur for MER in real-world scenarios. This paper deep…
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
Ling Zhou, Qirong Mao, Xiaohua Huang +2
Micro-Expression Recognition has become challenging, as it is extremely difficult to extract the subtle facial changes of micro-expressions. Recently, several approaches proposed s…
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
Ling Zhou, Qirong Mao, Ming Dong
Micro-Expression Recognition (MER) is a challenging task as the subtle changes occur over different action regions of a face. Changes in facial action regions are formed as Action…
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jingjing Chen, Qirong Mao, Dong Liu
The dominant speech separation models are based on complex recurrent or convolution neural network that model speech sequences indirectly conditioning on context, such as passing i…