Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild
J Vargas-Quiros, L Cabrera-Quiros… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Although laughter is known to be a multimodal signal, it is primarily annotated from audio. It
is unclear how laughter labels may differ when annotated from modalities like video, which …
is unclear how laughter labels may differ when annotated from modalities like video, which …
An accurate real-time method to detect the smile facial expression
The rapid advancement of technology has significantly improved our ability to interact with
electronic devices and derive meaning from this interaction. One crucial aspect of human …
electronic devices and derive meaning from this interaction. One crucial aspect of human …
Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice
Human social behaviors are inherently multi-modal necessitating the development of
powerful audiovisual models for their perception. In this paper, we present Social-MAE, our …
powerful audiovisual models for their perception. In this paper, we present Social-MAE, our …
Sensing the mood of a conversation using non-verbal cues with Deep Learning
H Bohy - 2022 10th International Conference on Affective …, 2022 - ieeexplore.ieee.org
In this project, we aim to explore the use of non-verbal cues (NVCs) in sensing
conversational mood. Our definition of conversational mood relates to how interpersonal …
conversational mood. Our definition of conversational mood relates to how interpersonal …
Leveraging Anomaly Detection for Affective Computing Applications
S Hamieh - 2024 - theses.hal.science
Recent technological advancements have paved the way for automation in various sectors,
from education to autonomous driving, collaborative robots, and customer service. This has …
from education to autonomous driving, collaborative robots, and customer service. This has …