7 citations · 7 across the 5 of their papers we have counts for
6 papers
FaceSleuth-R: Adaptive Orientation-Aware Attention for Robust Micro-Expression Recognition
Linquan Wu, Tianxiang Jiang, Haoyu Yang +5
Micro-expression recognition (MER) has achieved impressive accuracy in controlled laboratory settings. However, its real-world applicability faces a significant generalization clif…
End-to-End Facial Expression Detection in Long Videos
Yini Fang, Alec F. Diallo, Frederic Jumelle +1
Facial expression detection requires spotting when expressions occur and recognizing which emotional category they belong to. Despite their close relationships, existing approaches…
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction
Yini Fang, Jingling Yu, Haozheng Zhang +2
Visual search is important in our daily life. The efficient allocation of visual attention is critical to effectively complete visual search tasks. Prior research has predominantly…
HIC-YOLOv5: Improved YOLOv5 For Small Object Detection
Shiyi Tang, Shu Zhang, Yini Fang
Small object detection has been a challenging problem in the field of object detection. There has been some works that proposes improvements for this task, such as adding several a…
Integrating Holistic and Local Information to Estimate Emotional Reaction Intensity
Yini Fang, Liang Wu, Frederic Jumelle +1
Video-based Emotional Reaction Intensity (ERI) estimation measures the intensity of subjects' reactions to stimuli along several emotional dimensions from videos of the subject as…
RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid
Yini Fang, Didan Deng, Liang Wu +2
Micro-expressions (MEs) are involuntary and subtle facial expressions that are thought to reveal feelings people are trying to hide. ME spotting detects the temporal intervals cont…