39 citations · 47 across the 16 of their papers we have counts for
4 papers · 1 filter
BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates
Phuong-Anh Nguyen, Tien Anh Pham, Duc-Trong Le +1
Learning from multiple modalities often suffers from imbalance, where information-rich modalities dominate optimization while weaker or partially missing modalities contribute less…
MissBench: Benchmarking Multimodal Affective Analysis under Imbalanced Missing Modalities
Tien Anh Pham, Phuong-Anh Nguyen, Duc-Trong Le +1
Multimodal affective computing underpins key tasks such as sentiment analysis and emotion recognition. Standard evaluations, however, often assume that textual, acoustic, and visua…
A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis
Nguyen Van Doan, Dat Tran Nguyen, Cam-Van Thi Nguyen
Multimodal Aspect-Based Sentiment Analysis (MABSA) combines text and images to perform sentiment analysis but often struggles with irrelevant or misleading visual information. Exis…
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
Cam-Van Thi Nguyen, Ngoc-Hoa Thi Nguyen, Duc-Trong Le +1
Multimodal representation learning poses significant challenges in capturing informative and distinct features from multiple modalities. Existing methods often struggle to exploit…