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20212024
most citedSpatial and Temporal Networks for Facial Expression Recognition in the Wild Videos

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer

Xinpeng Li, Teng Wang, Jian Zhao +5

Emotion recognition aims to discern the emotional state of subjects within an image, relying on subject-centric and contextual visual cues. Current approaches typically follow a tw…

cs.CV2024

3D Landmark Detection on Human Point Clouds: A Benchmark and A Dual Cascade Point Transformer Framework

Fan Zhang, Shuyi Mao, Qing Li +1

3D landmark detection plays a pivotal role in various applications such as 3D registration, pose estimation, and virtual try-on. While considerable success has been achieved in 2D…

cs.CV2022★ 2 cited

AU-Aware Vision Transformers for Biased Facial Expression Recognition

Shuyi Mao, Xinpeng Li, Qingyang Wu +1

Studies have proven that domain bias and label bias exist in different Facial Expression Recognition (FER) datasets, making it hard to improve the performance of a specific dataset…

cs.CV2022

AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression Recognition

Shuyi Mao, Xinpeng Li, Junyao Chen +1

The paper describes our proposed methodology for the six basic expression classification track of Affective Behavior Analysis in-the-wild (ABAW) Competition 2022. In Learing from S…

cs.CV2021★ 5 cited

Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos

Shuyi Mao, Xinqi Fan, Xiaojiang Peng

The paper describes our proposed methodology for the seven basic expression classification track of Affective Behavior Analysis in-the-wild (ABAW) Competition 2021. In this task, f…