Joint pose and expression modeling for facial expression recognition
Facial expression recognition (FER) is a challenging task due to different expressions under
arbitrary poses. Most conventional approaches either perform face frontalization on a non …
arbitrary poses. Most conventional approaches either perform face frontalization on a non …
Geometry guided pose-invariant facial expression recognition
Driven by recent advances in human-centered computing, Facial Expression Recognition
(FER) has attracted significant attention in many applications. However, most conventional …
(FER) has attracted significant attention in many applications. However, most conventional …
Facial expression recognition in videos using dynamic kernels
Recognition of facial expressions across various actors, contexts, and recording conditions
in real-world videos involves identifying local facial movements. Hence, it is important to …
in real-world videos involves identifying local facial movements. Hence, it is important to …
Dynamic multi-channel metric network for joint pose-aware and identity-invariant facial expression recognition
Facial expression recognition (FER) is challenging because the appearance of an
expression varies significantly depending on head pose and inter-subject characteristics …
expression varies significantly depending on head pose and inter-subject characteristics …
Weakly-supervised facial expression recognition in the wild with noisy data
Facial expression recognition (FER) has attracted much attention in recent years due to its
wide applications. While some progress has been achieved thanks to the emergence of …
wide applications. While some progress has been achieved thanks to the emergence of …
Multiview facial expression recognition, a survey
Multiview Facial Expression Recognition (MFER) is a well-known interdisciplinary problem
among computer science and related disciplines with promising and valuable applications …
among computer science and related disciplines with promising and valuable applications …
Joint spatial and scale attention network for multi-view facial expression recognition
Multi-view facial expression recognition (FER) is a challenging task because the
appearance of an expression varies greatly due to poses. To alleviate the influences of …
appearance of an expression varies greatly due to poses. To alleviate the influences of …
A unified deep model for joint facial expression recognition, face synthesis, and face alignment
Facial expression recognition, face synthesis, and face alignment are three coherently
related tasks and can be solved in a joint framework. To achieve this goal, in this paper, we …
related tasks and can be solved in a joint framework. To achieve this goal, in this paper, we …
Boosting VLAD with supervised dictionary learning and high-order statistics
Recent studies show that aggregating local descriptors into super vector yields effective
representation for retrieval and classification tasks. A popular method along this line is …
representation for retrieval and classification tasks. A popular method along this line is …
Spatially coherent feature learning for pose-invariant facial expression recognition
Feature learning has enjoyed much attention and achieved good performance in recent
studies of image processing. Unlike the required training conditions often assumed there, far …
studies of image processing. Unlike the required training conditions often assumed there, far …