1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 1 cited
GraFT: Gradual Fusion Transformer for Multimodal Re-Identification
Haoli Yin, Jiayao Li, Eva Schiller +2
Object Re-Identification (ReID) is pivotal in computer vision, witnessing an escalating demand for adept multimodal representation learning. Current models, although promising, rev…
cs.LG2023★ 1 cited
One-Versus-Others Attention: Scalable Multimodal Integration for Biomedical Data
Michal Golovanevsky, Eva Schiller, Akira Nair +3
Multimodal learning models have become increasingly important as they surpass single-modality approaches on diverse tasks ranging from question-answering to autonomous driving. Des…