200 citations · 220 across the 8 of their papers we have counts for
8 papers
MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation
Shengjing Tian, Yinan Han, Xiantong Zhao +2
Dynamic outdoor environments with high temporal variation (HTV) pose significant challenges for 3D single object tracking in LiDAR point clouds. Existing memory-based trackers ofte…
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
Xiantong Zhao, Xiuping Liu, Shengjing Tian +1
3D single object tracking (3DSOT) in LiDAR point clouds is a critical task for outdoor perception, enabling real-time perception of object location, orientation, and motion. Despit…
Adversarial Attacks on LiDAR-Based Tracking Across Road Users: Robustness Evaluation and Target-Aware Black-Box Method
Shengjing Tian, Xiantong Zhao, Yuhao Bian +2
In this study, we delve into the robustness of neural network-based LiDAR point cloud tracking models under adversarial attacks, a critical aspect often overlooked in favor of perf…
iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself
Yuhao Bian, Shengjing Tian, Xiuping Liu
The widespread deployment of Deep Neural Networks (DNNs) for 3D point cloud processing starkly contrasts with their susceptibility to security breaches, notably backdoor attacks. T…
Small Object Tracking in LiDAR Point Cloud: Learning the Target-awareness Prototype and Fine-grained Search Region
Shengjing Tian, Yinan Han, Xiuping Liu +1
Single Object Tracking in LiDAR point cloud is one of the most essential parts of environmental perception, in which small objects are inevitable in real-world scenarios and will b…
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds
Xiantong Zhao, Yinan Han, Shengjing Tian +2
Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlatio…
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
Shengjing Tian, Jun Liu, Xiuping Liu
Single object tracking in point clouds has been attracting more and more attention owing to the presence of LiDAR sensors in 3D vision. However, the existing methods based on deep…
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Hongchen Tan, Xiuping Liu, Baocai Yin +1
This paper presents a novel person re-identification model, named Multi-Head Self-Attention Network (MHSA-Net), to prune unimportant information and capture key local information f…