Jiong Liu

Transforming a 6-DoF pose estimation problem into a 4-DoF challenge leads to significant efficiency gains and improved accuracy in robotic applications.

Event cameras, fused with traditional frames using an energy-aware approach, can significantly boost the accuracy of autonomous vehicle steering prediction.

A single model can now achieve state-of-the-art semantic segmentation across diverse sensor modalities like thermal, depth, and polarization, eliminating the need for modality-specific architectures.