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Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single
  Object Tracking in Point Clouds

Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

3 March 2022
Chaoda Zheng
Xu Yan
Haiming Zhang
Baoyuan Wang
Sheng-Hsien Cheng
Shuguang Cui
Zhen Li
    3DPC
ArXivPDFHTML

Papers citing "Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds"

16 / 16 papers shown
Title
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
Xiantong Zhao
Xiuping Liu
Shengjing Tian
Yinan Han
41
0
0
13 Jan 2025
MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
Zhaofeng Hu
Sifan Zhou
Shibo Zhao
Zhihang Yuan
Ci-Jyun Liang
3DPC
66
1
0
03 Dec 2024
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack
Shengjing Tian
Yinan Han
Xiantong Zhao
Bin Liu
Xiuping Liu
AAML
26
0
0
28 Oct 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
56
1
0
07 Jul 2024
FlowTrack: Point-level Flow Network for 3D Single Object Tracking
FlowTrack: Point-level Flow Network for 3D Single Object Tracking
Shuo Li
Yubo Cui
Zhiheng Li
Zheng Fang
3DPC
VOT
37
1
0
02 Jul 2024
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
Mohamed Nagy
Naoufel Werghi
Bilal Hassan
Jorge Dias
Majid Khonji
VOT
73
2
0
19 May 2024
PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds
PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds
Weisheng Xu
Sifan Zhou
Jiaqi Xiong
Ziyu Zhao
Zhihang Yuan
45
2
0
11 Apr 2024
Towards Category Unification of 3D Single Object Tracking on Point
  Clouds
Towards Category Unification of 3D Single Object Tracking on Point Clouds
Jiahao Nie
Zhiwei He
Xudong Lv
Xueyi Zhou
Dong-Kyu Chae
Fei Xie
3DPC
47
10
0
20 Jan 2024
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
Jiaming Liu
Yue Wu
Maoguo Gong
Qiguang Miao
Wenping Ma
Can Qin
13
7
0
11 Dec 2023
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
Zhiheng Li
Yu Lin
Yubo Cui
Shuo Li
Zheng Fang
29
3
0
23 Aug 2023
Object Preserving Siamese Network for Single Object Tracking on Point
  Clouds
Object Preserving Siamese Network for Single Object Tracking on Point Clouds
Kaijie Zhao
Haitao Zhao
Zhongze Wang
Jingchao Peng
Zhengwei Hu
3DPC
10
3
0
28 Jan 2023
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation
Aotian Wu
Pan He
Xiao Li
Ke Chen
Sanjay Ranka
Anand Rangarajan
24
9
0
25 Jan 2023
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
54
4
0
19 Oct 2022
Towards Class-agnostic Tracking Using Feature Decorrelation in Point
  Clouds
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
Shengjing Tian
Jun Liu
Xiuping Liu
3DPC
27
4
0
28 Feb 2022
4D-Net for Learned Multi-Modal Alignment
4D-Net for Learned Multi-Modal Alignment
A. Piergiovanni
Vincent Casser
Michael S. Ryoo
A. Angelova
3DPC
96
55
0
02 Sep 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
1