[HTML][HTML] A comprehensive survey on automatic facial action unit analysis
R Zhi, M Liu, D Zhang - The Visual Computer, 2020 - Springer
Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …
behavior, and it is a comprehensive and anatomical system which could encode various …
Cross-domain au detection: Domains, learning approaches, and measures
Facial action unit (AU) detectors have performed well when trained and tested within the
same domain. Do AU detectors transfer to new domains in which they have not been …
same domain. Do AU detectors transfer to new domains in which they have not been …
Crossing domains for au coding: Perspectives, approaches, and measures
Facial action unit (AU) detectors have performed well when trained and tested within the
same domain. How well do AU detectors transfer to domains in which they have not been …
same domain. How well do AU detectors transfer to domains in which they have not been …
EMG-based hand gesture classifier robust to daily variation: Recursive domain adversarial neural network with data synthesis
D Lee, D You, G Cho, H Lee, E Shin, T Choi… - … Signal Processing and …, 2024 - Elsevier
Objective If a supervised classification model is used to predict hand gestures using
electromyography (EMG), the EMG signals for training should be labeled every day due to …
electromyography (EMG), the EMG signals for training should be labeled every day due to …
Affective facial computing: Generalizability across domains
Automated facial computing (AFC) has made major advances in detecting emotion
expression, occurrence and intensity of anatomic facial actions, physical pain, and …
expression, occurrence and intensity of anatomic facial actions, physical pain, and …
[HTML][HTML] Detecting outliers with one-class selective transfer machine
H Fujita, T Matsukawa, E Suzuki - Knowledge and Information Systems, 2020 - Springer
In this paper, we propose an outlier detection method from an unlabeled target dataset by
exploiting an unlabeled source dataset. Detecting outliers has attracted attention of data …
exploiting an unlabeled source dataset. Detecting outliers has attracted attention of data …
Head pose healthiness prediction using a novel image quality based stacked autoencoder
This paper introduces an approach aiming to determine head pose healthiness of computer
users. The main contributions of this paper are: 1) Image Quality Assessment (IQA) based …
users. The main contributions of this paper are: 1) Image Quality Assessment (IQA) based …
Adapting style and content for attended text sequence recognition
In this paper, we address the problem of learning to perform sequential OCR on photos of
street name signs in a language for which no labeled data exists. Our approach leverages …
street name signs in a language for which no labeled data exists. Our approach leverages …
[PDF][PDF] One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection.
H Fujita, T Matsukawa, E Suzuki - VISIGRAPP (5: VISAPP), 2018 - scitepress.org
An anomalous facial expression is a facial expression which scarcely occurs in daily life and
coveys cues about an anomalous physical or mental condition. In this paper, we propose a …
coveys cues about an anomalous physical or mental condition. In this paper, we propose a …