Video Emotion Recognition
5 papers with code • 1 benchmarks • 3 datasets
CREMA-D
CANDOR Corpus
Most implemented papers
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition
Spatial-temporal feature learning is of vital importance for video emotion recognition.
Emotion Recognition in Audio and Video Using Deep Neural Networks
Humans are able to comprehend information from multiple domains for e. g. speech, text and visual.
Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
madhurchhajed/Facial-Emotion-Recognition
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In this work, we describe our method for tackling the valence-arousal estimation challenge from ABAW FG-2020 Competition.
FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference
qlwei89/fv2es
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In the latest social networks, more and more people prefer to express their emotions in videos through text, speech, and rich facial expressions.
Versatile Audio-Visual Learning for Handling Single and Multi Modalities in Emotion Regression and Classification Tasks
This study proposes a \emph{versatile audio-visual learning} (VAVL) framework for handling unimodal and multimodal systems for emotion regression and emotion classification tasks.
