Binbin Jiang — accepted AI-conference papers

2025

Gaussian Difference: Find Any Change Instance in 3D Scenes

Binbin Jiang, Rui Huang, Qingyi Zhao, Yuxiang Zhang

ICASSP 2025accepted

Instance-level change detection in 3D scenes presents significant challenges, particularly under uncontrolled conditions without labeled image pairs, varying camera poses, or restricted lighting. This paper addresses this challenge by developing a novel approach to detect changes in real-world scena…

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2025

SFFCE-CD: Spatial And Frequency Feature Cross Enhancement For Change Detection

Yan Xing, Jiali Hu, Binbin Jiang, Qingyi Zhao, Longxi Feng, Rui Huang

ICASSP 2025accepted

Most existing change detection (CD) methods focus on spatial domain modeling, while ignore the rich information of frequency domain. In this paper, we enhance the feature representative ability with spatial and frequency feature cross enhancement. Specifically, we propose a Change Feature Extract Mo…

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