Self-supervised vision transformer-based few-shot learning for facial expression recognition

X Chen, X Zheng, K Sun, W Liu, Y Zhang - Information Sciences, 2023 - Elsevier
Facial expression recognition (FER) is embedded in many real-world human-computer
interaction tasks, such as online learning, depression recognition and remote diagnosis …

CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation

N Ebadi, R Li, A Das, A Roy, P Nikos, P Najafirad - Medical Image Analysis, 2023 - Elsevier
Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that
incorporates progressive changes in patient anatomy into active plan/dose adaption during …

Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective

P Thiam, H Hihn, DA Braun, HA Kestler… - Frontiers in …, 2021 - frontiersin.org
Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …

[HTML][HTML] Intentional-deception detection based on facial muscle movements in an interactive social context

Z Dong, G Wang, S Lu, L Dai, S Huang, Y Liu - Pattern Recognition Letters, 2022 - Elsevier
Micro-expression, which is generated by facial muscle movements, could be a crucial cue
for deception detection. In the existed research investigating the relationship between facial …

AI-augmented behavior analysis for children with developmental disabilities: building toward precision treatment

S Ghafghazi, A Carnett, L Neely… - IEEE Systems, Man …, 2021 - ieeexplore.ieee.org
Autism spectrum disorder is a developmental disorder characterized by significant social,
communication, and behavioral challenges. Individuals diagnosed with autism, intellectual …

A Survey on Computer Vision-Based Automatic Assessment of Stroke and Facial Palsy

Z Shagdar, AH Farmen, SA Amirshahi, K Raja - IEEE Access, 2025 - ieeexplore.ieee.org
Timely and accurate diagnosis is a critical component of stroke treatment and management.
Recent advancements in computer vision technologies have shown the potential to aid with …

Multimodal explainable AI predicts upcoming speech behavior in adults who stutter

A Das, J Mock, F Irani, Y Huang, P Najafirad… - Frontiers in …, 2022 - frontiersin.org
A key goal of cognitive neuroscience is to better understand how dynamic brain activity
relates to behavior. Such dynamics, in terms of spatial and temporal patterns of brain activity …

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey

Z Shanggua, Y Dong, S Guo, V Leung… - arxiv preprint arxiv …, 2024 - arxiv.org
Facial expressions convey human emotions and can be categorized into macro-expressions
(MaEs) and micro-expressions (MiEs) based on duration and intensity. While MaEs are …

A novel non-word speech preparation task to increase stuttering frequency in experimental settings for longitudinal research

F Irani, JR Mock, JC Myers, J Johnson… - Journal of Communication …, 2023 - Elsevier
Purpose The variable and intermittent nature of stuttering makes it difficult to consistently
elicit a sufficient number of stuttered trials for longitudinal experimental research. This study …

Can Hierarchical Transformers Learn Facial Geometry?

P Young, N Ebadi, A Das, M Bethany, K Desai… - Sensors, 2023 - mdpi.com
Human faces are a core part of our identity and expression, and thus, understanding facial
geometry is key to capturing this information. Automated systems that seek to make use of …