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3D Single-object Tracking in Point Clouds with High Temporal Variation
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3D Single-object Tracking in Point Clouds with High Temporal Variation

European Conference on Computer Vision (ECCV), 2024
4 August 2024
Qiao Wu
Kun Sun
Pei An
Mathieu Salzmann
Yanning Zhang
Jiaqi Yang
    3DPC
ArXiv (abs)PDFHTMLGithub

Papers citing "3D Single-object Tracking in Point Clouds with High Temporal Variation"

4 / 4 papers shown
MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation
MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation
Shengjing Tian
Yinan Han
Xiantong Zhao
Xuehu Liu
Qi Lang
Mamba
314
0
0
19 Nov 2025
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
Yifan Jiao
Yunhao Li
Junhua Ding
Q. Yang
Song Fu
Heng Fan
Libo Zhang
3DPC
300
0
0
03 Dec 2024
P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
Jiahao Nie
Fei Xie
Sifan Zhou
Xueyi Zhou
Dong-Kyu Chae
Zhiwei He
3DPC
490
14
0
07 Jul 2024
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with
  Multi-Feature Learning
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature LearningComputer Vision and Pattern Recognition (CVPR), 2020
Xinshuo Weng
Yongxin Wang
Yunze Man
Kris Kitani
3DPCVOT
396
249
0
12 Jun 2020
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