1 citations · 1 across the 3 of their papers we have counts for
3 papers
Point-Supervised Facial Expression Spotting with Gaussian-Based Instance-Adaptive Intensity Modeling
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Automatic facial expression spotting, which aims to identify facial expression instances in untrimmed videos, is crucial for facial expression analysis. Existing methods primarily…
SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Facial expression spotting, identifying periods where facial expressions occur in a video, is a significant yet challenging task in facial expression analysis. The issues of irrele…
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Facial expression spotting is a significant but challenging task in facial expression analysis. The accuracy of expression spotting is affected not only by irrelevant facial moveme…