|
|
|
|
|
Fadi Dornaika and Abdelmalik Moujahid
Facial Beauty Prediction (FBP) is an important visual recognition problem to evaluate the attractiveness of faces according to human perception. Most existing FBP methods are based on supervised solutions using geometric or deep features. Semi-supervised...
ver más
|
|
|
|
|
|
|
|
|
Yukuan Sun, Hangming Zhang, Shengjiao Yang and Jianming Wang
Sarcasm often manifests itself in some implicit language and exaggerated expressions. For instance, an elongated word, a sarcastic phrase, or a change of tone. Most research on sarcasm detection has recently been based on text and image information. In t...
ver más
|
|
|
|
|
|
|
|
|
Zewei Wang, Yongjun Zhang, Chengchang Pan and Zhongwei Cui
Principal Component Analysis Network (PCANet) is a lightweight deep learning network, which is fast and effective in face recognition. However, the accuracy of faces with occlusion does not meet the optimal requirement for two reasons: 1. PCANet needs to...
ver más
|
|
|
|
|
|
|
|
|
Shuang Chen, Zengcai Wang and Wenxin Chen
The effective detection of driver drowsiness is an important measure to prevent traffic accidents. Most existing drowsiness detection methods only use a single facial feature to identify fatigue status, ignoring the complex correlation between fatigue fe...
ver más
|
|
|
|
|
|
|
|
|
Haijun Liang, Changyan Liu, Kuanming Chen, Jianguo Kong, Qicong Han and Tiantian Zhao
The fatiguing work of air traffic controllers inevitably threatens air traffic safety. Determining whether eyes are in an open or closed state is currently the main method for detecting fatigue in air traffic controllers. Here, an eye state recognition m...
ver más
|
|
|
|