Video Anomaly Detection
Objective:Enable intelligent surveillance through scene-aware anomaly learning over distributed video environments.
We propose PiercingEye — a novel dual-space learning framework that integrates Euclidean and hyperbolic geometry to enhance the discriminative power of feature representations.
Video Intelligent Analysis
Objective:Advancing intelligent video analysis including detection, behavior understanding and re-identification.
We proposed the first unsupervised domain adaptive visible-infrared video person re-identification task (UDA-VVI-ReID), and this method achieves significant results.
Embodied Intelligence
Objective:Empowering intelligent agents to learn and interact with the physical world through embodiment.
The system uses images and voice commands as input, enabling the robotic arm to accurately understand human language and perform complex tasks.