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Hierarchical vectorization for facial images
The explosive growth of social media means portrait editing and retouching are in high demand. While portraits are commonly captured and stored as...
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Zero-shot Personality Perception From Facial Images
Personality perception is an important process that affects our behaviours towards others, with applications across many domains. Automatic...
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Compound facial expressions image generation for complex emotions
This work presents the methodology to synthesize the complex facial expressions images from the learned representation without specifying emotion...
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Facial Landmark Localization
Facial landmark localization aims to detect a sparse set of facial fiducial points on a human face, some of which include “eye corner”, “nose tip”,...
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Assessing student engagement from facial behavior in on-line learning
The automatic monitoring and assessment of the engagement level of learners in distance education may help in understanding problems and providing...
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Cross-modality facial attribute translation with feature space consistency between imbalanced domains
Modern facial attribute translation algorithms frequently struggle with imbalanced domains, where the target domain lacks richness and diversity. To...
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Personalizing human avatars based on realistic 3D facial reconstruction
Personalized 3D human avatars have aroused a great deal of interest because it is attractive to most people, particularly generation Z, to have the...
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Facial mask attention network for identity-aware face super-resolution
Face Super-Resolution (FSR) is a crucial research topic in image restoration field, which is a fundamental task for subsequent face applications,...
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Real time emotions recognition through facial expressions
Human behavior is deeply influenced by emotions. Detection of emotions plays a pivotal role in understanding how individuals respond to various...
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Exploring cross-cultural and gender differences in facial expressions: a skin tone analysis using RGB Values
Facial expressions serve as crucial indicators of an individual's psychological state, playing a pivotal role in face-to-face communication. This...
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Designing face resemblance technique using near set theory under varying facial features
Near sets (also called Descriptively Near Sets) classify nonempty sets of objects based on object feature values. The Near Set Theory provides a...
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Willingness of sharing facial data for emotion recognition: a case study in the insurance market
The research on technologies and methodologies for (accurate, real-time, spontaneous, three-dimensional…) facial expression recognition is ongoing...
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Deep Semantic Manipulation of Facial Videos
Editing and manipulating facial features in videos is an interesting and important field of research with a plethora of applications, ranging from...
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Context-Aware Facial Expression Recognition Using Deep Convolutional Neural Network Architecture
A frame of reference, which includes additional contextual information, can provide a more accurate and comprehensive understanding of the...
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A computer vision-based perceived attention monitoring technique for smart teaching
This paper aims to improve the lecture delivery mechanism in real-time in a classroom and remote sessions over web-based applications. In the...
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Revolutionizing online education: Advanced facial expression recognition for real-time student progress tracking via deep learning model
This paper presents a groundbreaking online educational platform that utilizes facial expression recognition technology to track the progress of...
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Considerations on generating facial nonmanual signals on signing avatars
Signing avatars continue to be an active field of research in Deaf-hearing communication, and while their ability to communicate the extemporaneous...
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Hard semantic mask strategy for automatic facial action unit recognition with teacher–student model
Facial Action Coding System (FACS) is a widely used technique in affective computing, which defines a series of facial action units (AUs)...
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Automatic facial emotion recognition at the COVID-19 pandemic time
People use various nonverbal communicative channels to convey emotions, among which facial expressions are considered the most important ones. Thus,...
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Facial Micro-expression Modelling-Based Student Learning Rate Evaluation Using VGG–CNN Transfer Learning Model
Micro-facial expressions hold the potential to identify emotional states of students during their participation in online learning tasks. Through...
