2 papers
cs.LG2026
Mitigating Sample-Level Imbalance via Probabilistic Separation for Adaptive Multimodal Fusion
Zhaocheng Liu, Zhiwen Yu, Xiaoqing Liu +2
Multimodal learning faces modality imbalance, where dominant modalities suppress weaker ones due to inconsistent convergence rates. Existing static or heuristic methods overlook sa…
cs.CV2025
RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition
Yuehan Jin, Xiaoqing Liu, Yiyuan Yang +3
Multimodal emotion recognition analyzes emotions by combining data from multiple sources. However, real-world noise or sensor failures often cause missing or corrupted data, creati…