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cs.CV2026
General Incomplete Multimodal Learning via Dynamic Quality Perception
Xiangyu Meng, Shicai Wei
Multimodal learning robust to missing modalities is essential for real-world applications. Existing methods mainly focus on inter-modality missing, where entire modalities are abse…
cs.CV2026
PDMP: Rethinking Balanced Multimodal Learning via Performance-Dominant Modality Prioritization
Shicai Wei, Chunbo Luo, Qiang Zhu +1
Multimodal learning has attracted increasing attention due to its practicality. However, it often suffers from insufficient optimization, where the multimodal model underperforms e…
cs.CV2026
Unbiased Dynamic Multimodal Fusion
Shicai Wei, Kaijie Zhang, Luyi Chen +2
Traditional multimodal methods often assume static modality quality, which limits their adaptability in dynamic real-world scenarios. Thus, dynamical multimodal methods are propose…