Hui Ma

Multi-agent collaboration and retrieval augmentation can overcome the limitations of static parametric memory in LLMs, enabling more nuanced and accurate multimodal emotion recognition.

Subtle visual signals, often overlooked, hold the key to unlocking hidden patterns across diverse applications, from security to medicine.

LLMs can significantly boost micro-expression recognition by reasoning about subtle facial muscle movements when guided by structured visual and relational prompts.

StegaFFD lets you hide faces inside other images to protect privacy during face forgery detection, achieving better accuracy and stealth than existing methods.