Louise Hull — accepted AI-conference papers

2023

Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling

Hu Wang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro

CVPR 2023poster

The missing modality issue is critical but non-trivial to be solved by multi-modal models. Current methods aiming to handle the missing modality problem in multi-modal tasks, either deal with missing modalities only during evaluation or train separate models to handle specific missing modality setti…

Cited by 114 Source ↗PDF ↗code ↗Scholar ↗

2022

Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction

Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull +1

ECCV 2022poster

"Multi-modal learning focuses on training models by equally combining multiple input data modalities during the prediction process. However, this equal combination can be detrimental to the prediction accuracy because different modalities are usually accompanied by varying levels of uncertainty. Usi…

Cited by 24 Source ↗PDF ↗Scholar ↗