Search Results for author: Qirong Mao

Found 5 papers, 1 papers with code

Region attention and graph embedding network for occlusion objective class-based micro-expression recognition

no code implementations13 Jul 2021 Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang

More specifically, the backbone network aims at extracting feature representations from different facial regions, RI module computing an adaptive weight from the region itself based on attention mechanism with respect to the unobstructedness and importance for suppressing the influence of occlusion, and RR module exploiting the progressive interactions among these regions by performing graph convolutions.

Graph Embedding Micro-Expression Recognition

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition

no code implementations13 Jan 2021 Ling Zhou, Qirong Mao, Xiaohua Huang, Feifei Zhang, Zhihong Zhang

It aims to obtain salient and discriminative features for specific expressions and also predict expression by fusing the expression-specific features.

Micro-Expression Recognition Optical Flow Estimation

Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation

no code implementations24 Dec 2020 Ling Zhou, Qirong Mao, Ming Dong

Specifically, we propose two new strategies in our AU detection module for more effective AU feature learning: the attention mechanism and the balanced detection loss function.

Action Unit Detection Micro-Expression Recognition

Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation

4 code implementations Interspeech 2020 Jingjing Chen, Qirong Mao, Dong Liu

By introduces a improved transformer, elements in speech sequences can interact directly, which enables DPTNet can model for the speech sequences with direct context-awareness.

Speech Separation Audio and Speech Processing Sound

Joint Pose and Expression Modeling for Facial Expression Recognition

no code implementations CVPR 2018 Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu

First, the encoder-decoder structure of the generator can learn a generative and discriminative identity representation for face images.

Facial Expression Recognition Image Generation

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