Zhiyuan Hua

2 accepted papers

2026

Moving Border Ownership for Event-based Motion Segmentation

Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos

CVPR 2026

Event cameras provide accurate information at motion boundaries--exactly where disentangling ego-motion, object motion, and border ownership determines segmentation quality. We argue that the missing ingredient in dynamic scene interpretation is moving border ownership: detecting motion boundaries a

Cited by 0 Source ↗Scholar ↗

2020

Learning Visual Motion Segmentation Using Event Surfaces

Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermuller, Yiannis Aloimonos

CVPR 2020poster

Event-based cameras have been designed for scene motion perception - their high temporal resolution and spatial data sparsity converts the scene into a volume of boundary trajectories and allows to track and analyze the evolution of the scene in time. Analyzing this data is computationally expensive…

Cited by 85 PDF ↗Scholar ↗