Fangzhen Li — accepted AI-conference papers

2026

From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection

Yepeng Liu, Hao Li, Liwen Yang, Fangzhen Li, Xudi Ge, Yuliang Gu +5

CVPR 2026

Keypoint-based matching is a fundamental component of modern 3D vision systems, such as Structure-from-Motion (SfM) and SLAM. Most existing learning-based methods are trained on image pairs, a paradigm that fails to explicitly optimize for the long-term trackability of keypoints across sequences und

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2026

UniReg: A Unified Information Aggregation Framework for Robust Point Cloud Registration

Hong Chen, Tianhao Lu, Fangzhen Li, Zehan Zhang, Bing Wang, Yihua Tan

RA-L 2026

Learning discriminative point-wise representations remains the central challenge in scene-level, correspondence-based point cloud registration. Most existing methods process two frames independently during the early stage and introduce cross-frame interaction only at coarsest stages. Such delayed in

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