most citedHigh-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 4 cited

High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning

Paul Pu Liang, Yiwei Lyu, Xiang Fan +6

Many real-world problems are inherently multimodal, from spoken language, gestures, and paralinguistics humans use to communicate, to force, proprioception, and visual sensors on r…