emotion recognition
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Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset Wang Lin
We employ a total of 26 annotators, consisting of 14 females and 12 males.
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AutoSurvey: Large Language Models Can Automatically Write Surveys
"Large Language Model" in their titles or abstracts were submitted to arXiv.
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Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline Qi Jia 1 Baoyu Fan 2,1 Cong Xu1 Lu Liu
In light of this, we introduces a novel research task, M ulti-modal S entiment A nalysis for C omment R esponse of V ideo I nduced( MSA-CRVI), aims to infer opinions and emotions according to comments response to micro video.
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Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Large-scale pre-training has shown great potential to enhance models on downstream tasks in vision and language. Developing similar techniques for scalp electroencephalogram (EEG) is suitable since unlabelled data is plentiful.
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StressID: a Multimodal Dataset for Stress Identification
Additionally, we provide multimodal predictive models combining video, audio, and physiological inputs.
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