Lehan Hong

Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations

Variational autoencoder (VAE)-based frameworks possess a natural advantage in modeling the shared and private information inherent in multimodal data. However, current models focus on improving the quality of shared representations from the reconstruction perspective, lacking explicit mechanisms to