IEEE

Modality-Guided Refinement Learning for Multimodal Emotion Recognition

Abstract: Multimodal emotion recognition (MER) aims to understand human emotions by leveraging multiple modalities. Previous MER methods have focused on learning enhanced multimodal representations ...
IEEE

Contrastive Learning Based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition With Missing Modalities

Abstract: Multimodal emotion recognition (MER) aims to understand the way that humans express their emotions by exploring complementary information across modalities. However, it is hard to guarantee ...
GitHub

Official implementation for “MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion.”

[2023-4] Codes and config files are public available. Multi-modality image fusion (MMIF) aims to integrate complementary information from different modalities into a single fused image to represent ...
GitHub

StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation

We are delighted to announce that our paper has been officially accepted by the ACM International Conference on Multimedia (ACMMM 2025) and selected for Oral Presentation! Highlights of Review Results ...