Search Results for author: Eva Schiller

Found 2 papers, 1 papers with code

GraFT: Gradual Fusion Transformer for Multimodal Re-Identification

no code implementations25 Oct 2023 Haoli Yin, Jiayao Li, Eva Schiller, Luke McDermott, Daniel Cummings

Object Re-Identification (ReID) is pivotal in computer vision, witnessing an escalating demand for adept multimodal representation learning.

Network Pruning Representation Learning

One-Versus-Others Attention: Scalable Multimodal Integration for Clinical Data

1 code implementation11 Jul 2023 Michal Golovanevsky, Eva Schiller, Akira Nair, Ritambhara Singh, Carsten Eickhoff

Multimodal learning models have become increasingly important as they surpass single-modality approaches on diverse tasks ranging from question-answering to autonomous driving.

Autonomous Driving Question Answering

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