Causal Perception and Reasoning

Causal AI research group · Ho Chi Minh City, Vietnam

We study how machine perception can move from correlation to causation, building models that explain not only what happens but why it happens. Our research spans causal video understanding, document intelligence, healthcare, physics-informed modeling, and neuro-symbolic AI, and it builds on our earlier work in affective computing and multimodal perception.