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cs.MM2026
To Fuse or to Drop? Dual-Path Learning for Resolving Modality Conflicts in Multimodal Emotion Recognition
Yangchen Yu, Qian Chen, Jia Li +5
Multimodal emotion recognition (MER) benefits from combining text, audio, and vision, yet standard fusion often fails when modalities conflict. Crucially, conflicts differ in resol…
cs.MM2025
CLAIP-Emo: Parameter-Efficient Adaptation of Language-supervised models for In-the-Wild Audiovisual Emotion Recognition
Yin Chen, Jia Li, Jinpeng Hu +2
Audiovisual emotion recognition (AVER) in the wild is still hindered by pose variation, occlusion, and background noise. Prevailing methods primarily rely on large-scale domain-spe…
cs.MM2025
Concept Drift Guided LayerNorm Tuning for Efficient Multimodal Metaphor Identification
Wenhao Qian, Zhenzhen Hu, Zijie Song +1
Metaphorical imagination, the ability to connect seemingly unrelated concepts, is fundamental to human cognition and communication. While understanding linguistic metaphors has adv…