Author

Si-Fan Zhou

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Preprint Sep 2026

SAVTrack: Selective Vote Aggregation for Reliability-Aware Point Cloud Tracking

3D single object tracking (SOT) in LiDAR point clouds is essential for autonomous systems, but remains challenging under sparse and incomplete observations. In such cases, different target points provide highly uneven constraints on the object center, causing some point-to-center votes to be substantially less reliable...

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

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

By simplifying overcomplicated motion-centric designs, TFTrack establishes a new minimalist paradigm for efficient 3D point cloud tracking, paving the way for real-time and resource-efficient deployment in embedded robotic systems, such as autonomous vehicles.

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