Author

Si-Fan Zhou

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Preprint Sep 2026

MAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking

Large-scale pre-training has transformed representation learning in 2D vision, yet its transferability to 3D single object tracking (SOT) remains insufficiently understood. Directly fine-tuning self-supervised 3D encoders, such as masked autoencoders (MAE), often leads to sub-optimal adaptation because the reconstructi...

Si-Fan Zhou, Qi-Wei Wang, Lin-Yue Tan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking

LiDAR-based 3D Single Object Tracking (3D SOT) is critical for robotic perception and navigation and aims to localize dynamic objects across frames in sparse point clouds. Existing methods, rooted in the Siamese tracking paradigm from 2D vision, rely on costly dual-input designs and excessive motion modeling guided by...

Zhao-Feng Hu, Si-Fan Zhou, Jia-Hao Nie et al. · 2 citations