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cs.CV2026
Rethinking Gradient Modulation in Multimodal Regression
Haojie Yin, Chengcheng Feng, Tianyi Liu +2
Even balanced multimodal learning methods do not consistently translate additional modalities into better regression performance. To understand this limitation, we revisit the opti…
cs.CV2026
DAOS: A Multimodal In-cabin Behavior Monitoring with Driver Action-Object Synergy Dataset
Yiming Li, Chen Cai, Tianyi Liu +6
Multimodal action understanding requires complementary sensory observations to be connected with structured semantic knowledge. This is particularly challenging in vehicle cabins,…