Junze Zhang — accepted AI-conference papers

2026

AIMDepth: Asymmetric Image-Event Mamba for Monocular Depth Estimation

Luoxi Jing, Dianxi Shi, Yushe Cao, Yuanze Wang, Junze Zhang, Yuning Cui +1

CVPR 2026

Monocular depth estimation is essential for applications such as robotics. The complementary characteristics of event and image modalities have inspired fusion-based methods for robust depth estimation. However, existing methods rely on convolutional or attention-based architectures, which either ha

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2026

Geometry-Aware Stereo Matching via Monocular Disparity Distribution Prior and Gradient Enhancement

Junze Zhang, Luoxi Jing, Yuanyuan Wang, Xueqi Li, Guoli Yang, Songchang Jin +1

AAAI 2026technical

Stereo matching recovers 3D scene information based on the correlation between corresponding pixels. Despite impressive progress, existing methods lack sufficient correlation priors in ill-posed regions such as occlusions, detailed and reflective regions. In this paper, we propose Geometry Aware Ste

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