48 citations · 74 across the 5 of their papers we have counts for
5 papers
NR-DFERNet: Noise-Robust Network for Dynamic Facial Expression Recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Dynamic facial expression recognition (DFER) in the wild is an extremely challenging task, due to a large number of noisy frames in the video sequences. Previous works focus on ext…
AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition
Mingzhe Sui, Hanting Li, Zhaoqing Zhu +1
2D+3D facial expression recognition (FER) can effectively cope with illumination changes and pose variations by simultaneously merging 2D texture and more robust 3D depth informati…
MMNet: Muscle motion-guided network for micro-expression recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Facial micro-expressions (MEs) are involuntary facial motions revealing peoples real feelings and play an important role in the early intervention of mental illness, the national s…
MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition
Hanting Li, Mingzhe Sui, Zhaoqing Zhu +1
Vision transformer (ViT) has been widely applied in many areas due to its self-attention mechanism that help obtain the global receptive field since the first layer. It even achiev…
MVT: Mask Vision Transformer for Facial Expression Recognition in the wild
Hanting Li, Mingzhe Sui, Feng Zhao +2
Facial Expression Recognition (FER) in the wild is an extremely challenging task in computer vision due to variant backgrounds, low-quality facial images, and the subjectiveness of…