Learning person-specific cognition from facial reactions for automatic personality recognition
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …
subject's cognition simulated from facial reactions. This approach builds on the following two …
Driver emotions recognition based on improved faster R-CNN and neural architectural search network
It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …
the drivers they transport on a continuous basis. This is especially true in the case of …
Transformer-based self-supervised learning for emotion recognition
In order to exploit representations of time-series signals, such as physiological signals, it is
essential that these representations capture relevant information from the whole signal. In …
essential that these representations capture relevant information from the whole signal. In …
Personality recognition by modelling person-specific cognitive processes using graph representation
Recent research shows that in dyadic and group interactions individuals' nonverbal
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
Study on the impact of recommendation algorithms on user perceived stress and health management behaviour in short video platforms
X Wang, S Wuji, Y Liu, R Luo, C Qiu - Information Processing & …, 2024 - Elsevier
Short videos have become an ideal platform for global health information dissemination.
Past research has tended to overlook the potentially negative experiences associated with …
Past research has tended to overlook the potentially negative experiences associated with …
Dyadformer: A multi-modal transformer for long-range modeling of dyadic interactions
Personality computing has become an emerging topic in computer vision, due to the wide
range of applications it can be used for. However, most works on the topic have focused on …
range of applications it can be used for. However, most works on the topic have focused on …
Contrastive learning of person-independent representations for facial action unit detection
Facial action unit (AU) detection, aiming to classify AU present in the facial image, has long
suffered from insufficient AU annotations. In this paper, we aim to mitigate this data scarcity …
suffered from insufficient AU annotations. In this paper, we aim to mitigate this data scarcity …
Challenges and opportunities for machine learning classification of behavior and mental state from images
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human
behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the …
behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the …
An open-source benchmark of deep learning models for audio-visual apparent and self-reported personality recognition
Personality determines various human daily and working behaviours. Recently, a large
number of automatic personality computing approaches have been developed to predict …
number of automatic personality computing approaches have been developed to predict …
Multistep short‐term wind speed prediction with rank pooling and fast Fourier transformation
H Shu, W Song, Z Song, H Guo, C Li, Y Wang - Wind Energy, 2024 - Wiley Online Library
Short‐term wind speed prediction is essential for economical wind power utilization. The
real‐world wind speed data are typically intermittent and fluctuating, presenting great …
real‐world wind speed data are typically intermittent and fluctuating, presenting great …