Hui Ma

Achieving state-of-the-art performance in both 4D reconstruction and point tracking, Uni4R leverages continuous velocity fields to model dynamics at any timestamp, breaking free from traditional limitations.

High-curvature regions in point clouds can be effectively represented by a novel hyperbolic rectification method that boosts discriminative power and captures fine geometric details.

Jointly modeling traffic dynamics and urban events can drastically improve cellular traffic forecasting accuracy.

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.