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 …
Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
Dpcnet: Dual path multi-excitation collaborative network for facial expression representation learning in videos
Current works of facial expression learning in video consume significant computational
resources to learn spatial channel feature representations and temporal relationships. To …
resources to learn spatial channel feature representations and temporal relationships. To …
Channel pruning based on convolutional neural network sensitivity
C Yang, H Liu - Neurocomputing, 2022 - Elsevier
Pruning is a useful technique for decreasing the memory consumption and floating point
operations (FLOPs) of deep convolutional neural network (CNN) models. Nevertheless, at …
operations (FLOPs) of deep convolutional neural network (CNN) models. Nevertheless, at …
[HTML][HTML] k-NN attention-based video vision transformer for action recognition
Action Recognition aims to understand human behavior and predict a label for each action.
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …
Recently, Vision Transformer (ViT) has achieved remarkable performance on action …
Human pose recognition via adaptive distribution encoding for action perception in the self-regulated learning process
Human pose recognition (HPR) under infrared imaging is considered a significant role for
action perception in the self-regulated learning process. In this article, we propose a novel …
action perception in the self-regulated learning process. In this article, we propose a novel …
A novel facial expression recognition algorithm using geometry β–skeleton in fusion based on deep CNN
Facial expression recognition (FER) methods based on single-source facial data often suffer
from reduced accuracy or unpredictability due to facial occlusion or illumination changes. To …
from reduced accuracy or unpredictability due to facial occlusion or illumination changes. To …
Influence of online STEAM hands-on learning on AI learning, creativity, and creative emotions
YS Chang, YY Wang, YT Ku - Interactive Learning Environments, 2023 - Taylor & Francis
Given the importance of innovation, artificial intelligence (AI) education, and online learning
during the COVID-19 pandemic, we explored the effects of science, technology …
during the COVID-19 pandemic, we explored the effects of science, technology …
Infrared thermal image denoising with symmetric multi-scale sampling network
We propose an infrared thermal image denoising method based on the residual learning
with a symmetric multi-scale (SM) encoder-decoder sampling structure (SMEDS). The U …
with a symmetric multi-scale (SM) encoder-decoder sampling structure (SMEDS). The U …
Multi-label learning with Relief-based label-specific feature selection
Multi-label learning is an emerging paradigm exploiting samples with rich semantics. As an
effective solution to multi-label learning, the strategy of label-specific features (LIFT) has …
effective solution to multi-label learning, the strategy of label-specific features (LIFT) has …