38 citations · 83 across the 5 of their papers we have counts for
5 papers
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild
Jie Cai, Zibo Meng, Ahmed Shehab Khan +6
Emotion recognition plays an important role in human-computer interaction (HCI) and has been extensively studied for decades. Although tremendous improvements have been achieved fo…
Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network
Jie Cai, Zibo Meng, Ahmed Shehab Khan +4
A novel Identity-Free conditional Generative Adversarial Network (IF-GAN) was proposed for Facial Expression Recognition (FER) to explicitly reduce high inter-subject variations ca…
Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition
Jie Cai, Zibo Meng, Ahmed Shehab Khan +3
In this paper, we proposed a novel Probabilistic Attribute Tree-CNN (PAT-CNN) to explicitly deal with the large intra-class variations caused by identity-related attributes, e.g.,…
Island Loss for Learning Discriminative Features in Facial Expression Recognition
Jie Cai, Zibo Meng, Ahmed Shehab Khan +3
Over the past few years, Convolutional Neural Networks (CNNs) have shown promise on facial expression recognition. However, the performance degrades dramatically under real-world s…
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition
Shizhong Han, Zibo Meng, Zhiyuan Li +4
Recognizing facial action units (AUs) during spontaneous facial displays is a challenging problem. Most recently, Convolutional Neural Networks (CNNs) have shown promise for facial…