3 citations · 3 across the 4 of their papers we have counts for
6 papers
MAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking
Sifan Zhou, Qiwei Wang, Linyue Tan +3
Large-scale pre-training has transformed representation learning in 2D vision, yet its transferability to 3D single object tracking (SOT) remains insufficiently understood. Directl…
SAVTrack: Selective Vote Aggregation for Reliability-Aware Point Cloud Tracking
Sifan Zhou, Linyue Tan, Qiwei Wang +2
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, differen…
TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking
Zhaofeng Hu, Sifan Zhou, Jiahao Nie +3
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…
FocusTrack: One-Stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking
Sifan Zhou, Jiahao Nie, Ziyu Zhao +2
In 3D point cloud object tracking, the motion-centric methods have emerged as a promising avenue due to its superior performance in modeling inter-frame motion. However, existing t…
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation
Jian Qian, Miao Sun, Sifan Zhou +3
In-context learning (ICL) leverages in-context examples as prompts for the predictions of Large Language Models (LLMs). These prompts play a crucial role in achieving strong perfor…
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
Jian Qian, Bingyu Xie, Biao Wan +3
Time series generation is a crucial research topic in the area of decision-making systems, which can be particularly important in domains like autonomous driving, healthcare, and,…