Meijie Zhang — accepted AI-conference papers

2025

CLAIM: Camera-LiDAR Alignment with Intensity and Monodepth

Zhuo Zhang, Yonghui Liu, Meijie Zhang, Feiyang Tan, Yikang Ding

IROS 2025

In this paper, we unleash the potential of the powerful monodepth model in camera-LiDAR calibration and propose CLAIM, a novel method of aligning data from the camera and LiDAR. Given the initial guess and pairs of images and LiDAR point clouds, CLAIM utilizes a coarse-to-fine searching method to fi

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2022

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

Tianfei Zhou, Meijie Zhang, Fang Zhao, Jianwu Li

CVPR 2022poster

Learning semantic segmentation from weakly-labeled (e.g., image tags only) data is challenging since it is hard to infer dense object regions from sparse semantic tags. Despite being broadly studied, most current efforts directly learn from limited semantic annotations carried by individual image or…

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