Neuromorphic event-based facial expression recognition

L Berlincioni, L Cultrera, C Albisani… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recently, event cameras have shown large applicability in several computer vision fields
especially concerning tasks that require high temporal resolution. In this work, we …

NIR-triggered high-efficiency self-healable protective optical coating for vision systems

JE Jeong, JW Lee, MJ Bae, HE Bae… - … applied materials & …, 2023 - ACS Publications
Recently, self-healing materials have evolved to recover specific functions such as
electronic, magnetic, acoustic, structural or hierarchical, and biological properties. In …

3D Pain Face Expression Recognition Using a ML-MIMO Radar Profiler

MJ Lopez, C Palacios-Arias, J Romeu… - IEEE …, 2024 - ieeexplore.ieee.org
This study proposes a new method for the detection of facial expressions of pain using a 3D
profiler that combines a multiple-input-multiple-output (MIMO) radar system with a machine …

Cross-modal and Semantics-Augmented Asymmetric CycleGAN for Data-Imbalanced Anime Style Face Translation

S Deng, K Uchida, Z Yin - Proceedings of the 2021 3rd International …, 2021 - dl.acm.org
Human face to anime face translation has attracted the attention of many researchers in
recent years, and various works have achieved high-quality style transfer on conventional …

Advances and Application of Facial Expression and Learning Emotion Recognition in Classroom

J He, X Wen, J Zhou - Proceedings of the 2023 6th International …, 2023 - dl.acm.org
The facial expressions of students in the class are one of the most direct and effective ways
to reflect the emotional investment of learning. Driven by a new generation of artificial …

Study on feature extraction method from 2d character illustration based on human's cognitive characteristics for automatic voice estimation

N Omichi, S Ooi, M Sano - Proceedings of the 2021 4th Artificial …, 2021 - dl.acm.org
Humans can imagine an approximate voice from a human face, and some studies estimate
and generate a voice from a human face. As research applying this, there is research to …

Micro-expression recognition based on bimodal contrastive learning

W Jia, Y Song, P Wang, L Chen, X Ben - Proceedings of the 2022 5th …, 2022 - dl.acm.org
Micro-expressions are brief, subtle and involuntary facial gestures, which usually hide real
emotions of people and are difficult to capture. Considering that micro-expressions data …

Micro-expression detection based on action units and multi-region feature fusion

H Sun, B Li, L Chen, J Yao, X Ben - Proceedings of the 2022 5th …, 2022 - dl.acm.org
Recently, micro-expression detection has attracted much attention, since micro-expression
has potential lie detection applications. In this paper, a micro-expression detection algorithm …

A joint feature aggregation method for robust masked face recognition

X Xu, Y Zhu, Z Bai - … on Digital Image Processing (ICDIP 2022), 2022 - spiedigitallibrary.org
Masked face recognition becomes an important issue of prevention and monitor in outbreak
of COVID-19. Due to loss of facial features caused by masks, unmasked face recognition …

Analysis of Eyebrow Motion for Micro-Expression Recognition

S Almalki, U Saeed, M Alkatheiri - Proceedings of the 2022 5th …, 2022 - dl.acm.org
Facial expression recognition is a field of emotion recognition that has received
considerable attention over the last decades. However, most of the research has been …