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Leveraging recent advances in deep learning for audio-visual emotion recognition
L Schoneveld, A Othmani, H Abdelkawy - Pattern Recognition Letters, 2021 - Elsevier
Emotional expressions are the behaviors that communicate our emotional state or attitude to
others. They are expressed through verbal and non-verbal communication. Complex human …
others. They are expressed through verbal and non-verbal communication. Complex human …
A survey of sentiment analysis in social media
Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …
information, due to the proliferation of social media and the low barrier for posting the …
MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video
Personalized recommendation plays a central role in many online content sharing platforms.
To provide quality micro-video recommendation service, it is of crucial importance to …
To provide quality micro-video recommendation service, it is of crucial importance to …
Multimodal machine learning: A survey and taxonomy
T Baltrušaitis, C Ahuja… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Our experience of the world is multimodal-we see objects, hear sounds, feel texture, smell
odors, and taste flavors. Modality refers to the way in which something happens or is …
odors, and taste flavors. Modality refers to the way in which something happens or is …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Fusing pairwise modalities for emotion recognition in conversations
Multimodal fusion has the potential to significantly enhance model performance in the
domain of Emotion Recognition in Conversations (ERC) by efficiently integrating information …
domain of Emotion Recognition in Conversations (ERC) by efficiently integrating information …
Openface: an open source facial behavior analysis toolkit
T Baltrušaitis, P Robinson… - 2016 IEEE winter …, 2016 - ieeexplore.ieee.org
Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …
analysis and understanding. We present OpenFace-an open source tool intended for …
Sewa db: A rich database for audio-visual emotion and sentiment research in the wild
J Kossaifi, R Walecki, Y Panagakis… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Natural human-computer interaction and audio-visual human behaviour sensing systems,
which would achieve robust performance in-the-wild are more needed than ever as digital …
which would achieve robust performance in-the-wild are more needed than ever as digital …
Analysis of EEG signals and facial expressions for continuous emotion detection
M Soleymani, S Asghari-Esfeden, Y Fu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Emotions are time varying affective phenomena that are elicited as a result of stimuli. Videos
and movies in particular are made to elicit emotions in their audiences. Detecting the …
and movies in particular are made to elicit emotions in their audiences. Detecting the …
A review and meta-analysis of multimodal affect detection systems
SK D'mello, J Kory - ACM computing surveys (CSUR), 2015 - dl.acm.org
Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …
from several areas. The field is in need of a systematic review due to the recent influx of …