2017
Deep Multimodal Representation Learning From Temporal Data
CVPR 2017poster
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications. When the available modalities consist of time series data such as video, audio and sensor signals, it becomes imperative to…