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 …
MT-EmotiEffNet for multi-task human affective behavior analysis and learning from synthetic data
AV Savchenko - European Conference on Computer Vision, 2022 - Springer
In this paper, we present the novel multi-task EfficientNet model and its usage in the 4th
competition on Affective Behavior Analysis in-the-wild (ABAW). This model is trained for …
competition on Affective Behavior Analysis in-the-wild (ABAW). This model is trained for …
Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets
Recent technological developments have enabled computers to identify and categorize
facial expressions to determine a person's emotional state in an image or a video. This …
facial expressions to determine a person's emotional state in an image or a video. This …
Rethinking pseudo-labeling for semi-supervised facial expression recognition with contrastive self-supervised learning
B Fang, X Li, G Han, J He - IEEE Access, 2023 - ieeexplore.ieee.org
Self-supervised learning for semi-supervised facial expression recognition aims to avoid the
need to collect expensive labeled facial expression data. Existing methods demonstrate an …
need to collect expensive labeled facial expression data. Existing methods demonstrate an …
Self-supervised contrastive learning of multi-view facial expressions
Facial expression recognition (FER) has emerged as an important component of human-
computer interaction systems. Despite recent advancements in FER, performance often …
computer interaction systems. Despite recent advancements in FER, performance often …
Emerging Frontiers in Human–Robot Interaction
Effective interactions between humans and robots are vital to achieving shared tasks in
collaborative processes. Robots can utilize diverse communication channels to interact with …
collaborative processes. Robots can utilize diverse communication channels to interact with …
Facial emotion recognition using Handcrafted features and CNN
C Gautam, KR Seeja - Procedia Computer Science, 2023 - Elsevier
Emotion recognition technology is a form of face detection and recognition that takes an aid
of facial expressions and biophysical signs and symptoms like pulse rate and activations in …
of facial expressions and biophysical signs and symptoms like pulse rate and activations in …
Evolutionary neural architecture search for facial expression recognition
Facial expression is one of the most powerful, natural, and universal signals for human
beings to express emotional states and intentions. There are many applications for facial …
beings to express emotional states and intentions. There are many applications for facial …
Hsemotion team at the 6th abaw competition: Facial expressions, valence-arousal and emotion intensity prediction
AV Savchenko - arXiv preprint arXiv:2403.11590, 2024 - arxiv.org
This article presents our results for the sixth Affective Behavior Analysis in-the-wild (ABAW)
competition. To improve the trustworthiness of facial analysis, we study the possibility of …
competition. To improve the trustworthiness of facial analysis, we study the possibility of …