Shanliang Yang

Cross-Modal Guided Visual Synthesis for Data-Efficient Multimodal Depression Recognition

The performance of multimodal learning systems, particularly in high-stakes domains like automated depression recognition, is fundamentally constrained by the challenge of learning robust visual representations from limited and complex clinical data. To overcome this, we introduce Cross-Modal Guided