6 citations · 9 across the 5 of their papers we have counts for
5 papers
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu +5
It has been shown that accurate representation in media improves the well-being of the people who consume it. By contrast, inaccurate representations can negatively affect viewers…
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations
Junghun Kim, Jihie Kim
Multimodal sentiment analysis has become an increasingly popular research area as the demand for multimodal online content is growing. For multimodal sentiment analysis, words can…
Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms
Junghun Kim, Yoojin An, Jihie Kim
Attention has become one of the most commonly used mechanisms in deep learning approaches. The attention mechanism can help the system focus more on the feature space's critical re…
Representation Learning with Graph Neural Networks for Speech Emotion Recognition
Junghun Kim, Jihie Kim
Learning expressive representation is crucial in deep learning. In speech emotion recognition (SER), vacuum regions or noises in the speech interfere with expressive representation…
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base
Jinyeong Chae, Jihie Kim
Knowledge-based visual question answering (KVQA) task aims to answer questions that require additional external knowledge as well as an understanding of images and questions. Recen…