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A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
In recent years, transformer architecture has been a dominating paradigm in many applications, including affective computing.
Korean Drama Scene Transcript Dataset for Emotion Recognition in Conversations
The Korean Drama Scene Transcript dataset for Emotion Recognition (KD-EmoR) is a text-based conversation dataset.
Ranked #1 on
Emotion Recognition in Conversation
on KD-EmoR
Fine-tuning Wav2vec for Vocal-burst Emotion Recognition
The ACII Affective Vocal Bursts (A-VB) competition introduces a new topic in affective computing, which is understanding emotional expression using the non-verbal sound of humans.
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention
In this paper, we present our solution and experiment result for the Multi-Task Learning challenge of the Affective Behavior Analysis in-the-wild competition.
An Attention-based Method for Action Unit Detection at the 3rd ABAW Competition
We proposed a method for detecting facial action units in the video.
