Partially-observable Multimodal Learning

Graph Neural Networks; Meta-learning; Cross Modalities

Research Project:

Leveraging heterogeneous hypergraphs to enpower the multimodal or cross-modal learning tasks with partial-observation challenges.

The tasks covered so far:

  • Few-shot Classification
  • Cross-modal Alignment
  • Personalized Emotion Recognition
  • 3D-view Object Classification
  • PyTorch
  • Python
  • Graph Neural Networks
  • Meta Learning
  • Few-shot Learning