Poster++: A simpler and stronger facial expression recognition network
J Mao, R Xu, X Yin, Y Chang, B Nie, A Huang… - Pattern Recognition, 2024 - Elsevier
The POSTER has achieved SOTA performance in facial expression recognition (FER) by
effectively combining facial landmarks and image features through its two-stream pyramid …
effectively combining facial landmarks and image features through its two-stream pyramid …
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network
AV Savchenko, LV Savchenko… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, behaviour of students in the e-learning environment is analyzed. The novel
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
pipeline is proposed based on video facial processing. At first, face detection, tracking and …
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
AV Savchenko - 2021 IEEE 19th International Symposium on …, 2021 - ieeexplore.ieee.org
In this paper, the multi-task learning of lightweight convolutional neural networks is studied
for face identification and classification of facial attributes (age, gender, ethnicity) trained on …
for face identification and classification of facial attributes (age, gender, ethnicity) trained on …
Driver's facial expression recognition: A comprehensive survey
Driving is an integral part of daily life for millions of people worldwide, and it has a profound
impact on road safety and human health. The emotional state of the driver, including feelings …
impact on road safety and human health. The emotional state of the driver, including feelings …
Vision transformer with attentive pooling for robust facial expression recognition
Facial Expression Recognition (FER) in the wild is an extremely challenging task. Recently,
some Vision Transformers (ViT) have been explored for FER, but most of them perform …
some Vision Transformers (ViT) have been explored for FER, but most of them perform …
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 …
Facial affective behavior analysis with instruction tuning
Facial affective behavior analysis (FABA) is crucial for understanding human mental states
from images. However, traditional approaches primarily deploy models to discriminate …
from images. However, traditional approaches primarily deploy models to discriminate …
Latent-OFER: detect, mask, and reconstruct with latent vectors for occluded facial expression recognition
Most research on facial expression recognition (FER) is conducted in highly controlled
environments, but its performance is often unacceptable when applied to real-world …
environments, but its performance is often unacceptable when applied to real-world …
Exploring Facial Expression Recognition through Semi-Supervised Pre-training and Temporal Modeling
Abstract Facial Expression Recognition (FER) plays a crucial role in computer vision and
finds extensive applications across various fields. This paper aims to present our approach …
finds extensive applications across various fields. This paper aims to present our approach …
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition
W Zhou, J Lu, Z Xiong, W Wang - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Human emotion recognition plays an important role in human-computer interaction. In this
paper, we present our approach to the Valence-Arousal (VA) Estimation Challenge …
paper, we present our approach to the Valence-Arousal (VA) Estimation Challenge …