Doubly aligned incomplete multi-view clustering
M Hu, S Chen - arxiv preprint arxiv:1903.02785, 2019 - arxiv.org
Nowadays, multi-view clustering has attracted more and more attention. To date, almost all
the previous studies assume that views are complete. However, in reality, it is often the case …
the previous studies assume that views are complete. However, in reality, it is often the case …
A facial expression and expert recommendation fuzzy decision-making approach for sustainable business investments within the metaverse world
Commercial transactions in the metaverse have become more popular in recent years.
Sustainable investments are a prerequisite to metaverse survival and growth. There are …
Sustainable investments are a prerequisite to metaverse survival and growth. There are …
AU R-CNN: Encoding expert prior knowledge into R-CNN for action unit detection
Detecting action units (AUs) on human faces is challenging because various AUs make
subtle facial appearance change over various regions at different scales. Current works …
subtle facial appearance change over various regions at different scales. Current works …
Multiview facial expression recognition, a survey
Multiview Facial Expression Recognition (MFER) is a well-known interdisciplinary problem
among computer science and related disciplines with promising and valuable applications …
among computer science and related disciplines with promising and valuable applications …
Smile action unit detection from distal wearable electromyography and computer vision
M Perusquía-Hernández, F Dollack… - 2021 16th IEEE …, 2021 - ieeexplore.ieee.org
Distal facial Electromyography (EMG) can be used to detect smiles and frowns with
reasonable accuracy. It capitalises on volume conduction to detect relevant muscle activity …
reasonable accuracy. It capitalises on volume conduction to detect relevant muscle activity …
Emotic masked autoencoder with attention fusion for facial expression recognition
B Nguyen-Xuan, T Nguyen-Hoang, TH Nguyen… - arxiv preprint arxiv …, 2024 - arxiv.org
Facial Expression Recognition (FER) is a critical task within computer vision with diverse
applications across various domains. Addressing the challenge of limited FER datasets …
applications across various domains. Addressing the challenge of limited FER datasets …
Video Representation Learning for Conversational Facial Expression Recognition Guided by Multiple View Reconstruction
V Strizhkova, LM Ferrari, H Kachmar… - Proceedings of the …, 2024 - openaccess.thecvf.com
Conversational facial expression recognition entails challenges such as handling of facial
dynamics small available datasets low-intensity and fine-grained emotional expressions and …
dynamics small available datasets low-intensity and fine-grained emotional expressions and …
Emotic Masked Autoencoder on Dual-views with Attention Fusion for Facial Expression Recognition
XB Nguyen, HT Nguyen, TH Nguyen… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Facial Expression Recognition (FER) is a critical task within computer vision with
diverse applications across various domains. Addressing the challenge of limited FER …
diverse applications across various domains. Addressing the challenge of limited FER …
Exploring multidimensional measurements for pain evaluation using facial action units
Although pain is widely recognized to be a multidimensional experience, it is typically
measured by unidimensional patient self-reported visual analog scale (VAS). However, self …
measured by unidimensional patient self-reported visual analog scale (VAS). However, self …
Rethinking affect analysis: A protocol for ensuring fairness and consistency
G Hu, D Kollias, E Papadopoulou, P Tzouveli… - arxiv preprint arxiv …, 2024 - arxiv.org
Evaluating affect analysis methods presents challenges due to inconsistencies in database
partitioning and evaluation protocols, leading to unfair and biased results. Previous studies …
partitioning and evaluation protocols, leading to unfair and biased results. Previous studies …