Results 11 to 20 of about 145,554 (258)
Counterfactual discriminative micro-expression recognition
Visual IntelligenceMicro-expressions are spontaneous, rapid and subtle facial movements that can hardly be suppressed or fabricated. Micro-expression recognition (MER) is one of the most challenging topics in affective computing.
Yong Li +4 more
doaj +3 more sources
Low mood, not anxiety, connected with micro facial expression recognition [PDF]
Scientific ReportsPrevious research has demonstrated that facial expression recognition, an invaluable social skill, may be impaired amongst people suffering from anxiety.
Kasia Wezowski, Ian S. Penton-Voak
doaj +3 more sources
Htnet for Micro-Expression Recognition
Neurocomputing, 2023 35 pages, 7 ...
Zhifeng Wang 0004 +3 more
openaire +3 more sources
Associations between workplace emotional intelligence and micro expression recognition
Acta Psychologica, 2023 We investigated relationships between emotional intelligence, micro expression recognition and professional performance in two pre-registered cross-sectional studies.
Kasia Wezowski, Ian Penton-Voak
doaj +2 more sources
For micro-expression recognition: Database and suggestions [PDF]
Neurocomputing, 2014 Micro-expression is gaining more attention in both the scientific field and the mass media. It represents genuine emotions that people try to conceal, thus making it a promising cue for lie detection. Since micro-expressions are considered almost imperceptible to naked eyes, researchers have sought to automatically detect and recognize these fleeting ...
Wen-Jing Yan +4 more
core +4 more sources
Cross-Database Micro-Expression Recognition: A Benchmark [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging than the conventional micro-expression recognition (MER), because the training and testing samples in CDMER come from different micro-expression databases, resulting in the inconsistency of the ...
Tong Zhang 0015 +7 more
core +8 more sources
Selective deep features for micro-expression recognition [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration. Previous work for micro-expression recognition have used hand-crafted features like LBP-TOP, Gabor filter and optical flow.
Patel, D. (Devangini) +2 more
core +5 more sources
Micro-Expression Recognition with Noisy Labels [PDF]
Electronic Imaging, 2021 Abstract Facial micro-expressions are quick, involuntary and low intensity facial movements. An interest in detecting and recognizing micro-expressions arises from the fact that they are able to show person’s genuine hidden emotions. The small and rapid facial muscle movements are often too difficult for a human to not only spot the occurring micro ...
Zhao Guoying, Peng Wei, Varanka Tuomas
openaire +3 more sources
Micro‐expression recognition by two‐stream difference network
IET Computer Vision, 2021 Facial micro‐expression is a superposition of micro‐expression features and identity information of a subject. For the problem of identity information interference in micro‐expression recognition, this study proposes a new method for facial micro ...
Hang Pan +4 more
doaj +2 more sources
Leveraging vision transformers and entropy-based attention for accurate micro-expression recognition [PDF]
Scientific ReportsMicro-expressions are difficult to fake and inherently truthful, making micro-expression recognition technology widely applicable across various domains.
Yibo Zhang +4 more
doaj +2 more sources