Transformer-based multimodal information fusion for facial expression analysis
Human affective behavior analysis has received much attention in human-computer
interaction (HCI). In this paper, we introduce our submission to the CVPR 2022 Competition …
interaction (HCI). In this paper, we introduce our submission to the CVPR 2022 Competition …
Multi-modal facial affective analysis based on masked autoencoder
Human affective behavior analysis focuses on analyzing human expressions or other
behaviors to enhance the understanding of human psychology. The CVPR 2023 …
behaviors to enhance the understanding of human psychology. The CVPR 2023 …
Open-source face recognition frameworks: A review of the landscape
D Wanyonyi, T Celik - IEEE Access, 2022 - ieeexplore.ieee.org
From holistic low-dimension feature-based segmentation to deep polynomial neural
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …
[HTML][HTML] Utilizing computer vision for facial behavior analysis in schizophrenia studies: A systematic review
Background Schizophrenia is a severe psychiatric disorder that causes significant social
and functional impairment. Currently, the diagnosis of schizophrenia is based on information …
and functional impairment. Currently, the diagnosis of schizophrenia is based on information …
Knowledge-driven self-supervised representation learning for facial action unit recognition
Y Chang, S Wang - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Facial action unit (AU) recognition is formulated as a supervised learning problem by recent
works. However, the complex labeling process makes it challenging to provide AU …
works. However, the complex labeling process makes it challenging to provide AU …
Local region perception and relationship learning combined with feature fusion for facial action unit detection
Human affective behavior analysis plays a vital role in human-computer interaction (HCI)
systems. In this paper, we introduce our submission to the CVPR 2023 Competition on …
systems. In this paper, we introduce our submission to the CVPR 2023 Competition on …
Gratis: Deep learning graph representation with task-specific topology and multi-dimensional edge features
Graph is powerful for representing various types of real-world data. The topology (edges'
presence) and edges' features of a graph decides the message passing mechanism among …
presence) and edges' features of a graph decides the message passing mechanism among …
Piap-df: Pixel-interested and anti person-specific facial action unit detection net with discrete feedback learning
Y Tang, W Zeng, D Zhao… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract Facial Action Units (AUs) are of great significance in communication. Automatic AU
detection can improve the understanding of psychological conditions and emotional status …
detection can improve the understanding of psychological conditions and emotional status …
LibreFace: An open-source toolkit for deep facial expression analysis
Facial expression analysis is an important tool for human-computer interaction. In this paper,
we introduce LibreFace, an open-source toolkit for facial expression analysis. This open …
we introduce LibreFace, an open-source toolkit for facial expression analysis. This open …
Multi-scale promoted self-adjusting correlation learning for facial action unit detection
Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics
as it helps to identify emotions expressed through facial expressions. Anatomically, there are …
as it helps to identify emotions expressed through facial expressions. Anatomically, there are …