AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild [PDF]
IEEE Transactions on Affective Computing, 2017 Automated affective computing in the wild setting is a challenging problem in computer vision. Existing annotated databases of facial expressions in the wild are small and mostly cover discrete emotions (aka the categorical model). There are very limited
A. Mollahosseini +2 more
semanticscholar +1 more source
On-Road Driver Emotion Recognition Using Facial Expression
Applied Sciences, 2022 With the development of intelligent automotive human-machine systems, driver emotion detection and recognition has become an emerging research topic. Facial expression-based emotion recognition approaches have achieved outstanding results on laboratory ...
Huafei Xiao +7 more
semanticscholar +1 more source
Deep Facial Expression Recognition: A Survey [PDF]
IEEE Transactions on Affective Computing, 2018 With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to ...
Shan Li, Weihong Deng
semanticscholar +1 more source
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition [PDF]
IEEE Transactions on Image Processing, 2019 Occlusion and pose variations, which can change facial appearance significantly, are two major obstacles for automatic Facial Expression Recognition (FER). Though automatic FER has made substantial progresses in the past few decades, occlusion-robust and
K. Wang +4 more
semanticscholar +1 more source
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses [PDF]
Computer Vision and Pattern Recognition, 2020 Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing. However, current methods are still prone to generate artifacts and blurs around expression-intensive regions, and often introduce ...
R. Wu +3 more
semanticscholar +1 more source
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network [PDF]
Italian National Conference on Sensors, 2019 Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation.
Shervin Minaee, AmirAli Abdolrashidi
semanticscholar +1 more source
Facial expression analysis with AFFDEX and FACET: A validation study
Behavior Research Methods, 2018 Sabrina Stöckli +2 more
exaly +2 more sources
Automatic Facial Expression Recognition in Standardized and Non-standardized Emotional Expressions
Frontiers in Psychology, 2021 Emotional facial expressions can inform researchers about an individual's emotional state. Recent technological advances open up new avenues to automatic Facial Expression Recognition (FER).
Theresa Küntzler +2 more
semanticscholar +1 more source
2D-to-3D facial expression transfer [PDF]
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Agudo Martínez, Antonio +3 more
core +1 more source
First report of generalized face processing difficulties in möbius sequence. [PDF]
, 2013 Reverse simulation models of facial expression recognition suggest that we recognize the emotions of others by running implicit motor programmes responsible for the production of that expression.
A Todorov +55 more
core +3 more sources