Facial expression recognition with grid-wise attention and visual transformer

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

(2021) Shervin Minaee et al.   SENSORS

A ROI-guided Deep Architecture for Robust Facial Expressions Recognition

(2020) Xiao Sun et al.   INFORMATION SCIENCES

Discriminative deep multi-task learning for facial expression recognition

(2020) Hao Zheng et al.   INFORMATION SCIENCES

Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments

(2019) Xizhe Wang et al.   COMPUTING

Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy

(2019) Abhinav Agrawal et al.   VISUAL COMPUTER

Three convolutional neural network models for facial expression recognition in the wild

(2019) Jie Shao et al.   NEUROCOMPUTING

Emotion recognition using secure edge and cloud computing

(2019) M. Shamim Hossain et al.   INFORMATION SCIENCES

Independent Bayesian classifier combination based sign language recognition using facial expression

(2018) Pradeep Kumar et al.   INFORMATION SCIENCES

Deep peak-neutral difference feature for facial expression recognition

(2018) Jingying Chen et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

(2018) Shan Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks

(2017) Kaihao Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions

(2013) Marko Tkalčič et al.   INFORMATION SCIENCES

Facial expression recognition from near-infrared videos

(2011) Guoying Zhao et al.   IMAGE AND VISION COMPUTING

Facial expression recognition based on Local Binary Patterns: A comprehensive study

(2008) Caifeng Shan et al.   IMAGE AND VISION COMPUTING