Research on 3D Printing Optimization Based on Slices
National Natural Science Foundation of China, Main participant.
Posts by Collection
portfolio
Anomaly Detection of Lottery Sales with AI Algorithm
With company: China Lottery, Project proposer and participant.
Patterns Mining and Evolutionary Analysis of Urban Traffic
National Natural Science Foundation of China, Participant.
Structured Information-guided Outdoor Scene Depth Estimation and Application on Event Camera Denoising
National Natural Science Foundation of China, Main participant.
Real-time Location, Tracking and Identification of Plane Point Clouds
With company, Group leader.
Research on Manufacturing Sequence Problems for Multi-axis 3D Printing
National Natural Science Foundation of China, Main participant.
3D Model Deduplication Based on Deep Learning Methods
With company: Glodon, Group leader.
Point Cloud Object Tracking Using Cross-modal Knowledge Distillation Learning
China Postdoctoral Science Foundation, Leader.
Research on Robustness and Domain Generalization Method for 3D Object Tracking under LiDAR Point Clouds Distribution Shift
National Natural Science Foundation of China, Leader.
publications
Mass Transport Based Multi-Model Color Transfer
Published in Journal of Mathematical Research with Applications, 2017
Recommended citation: Yantao Liu, Shengjing Tian, Meng Liu, and Xiuping Liu*. Mass Transport Based Multi-Model Color Transfer. Journal of Mathematical Research with Applications, 2017, 37(1):119-126.
Deep Classification Consistency for Person Re-Identification
Published in IEEE Access, 2017
Recommended citation: Yuhao Bian; Xiuping Liu, Shengjing Tian, Hongchen Tan, Jie Zhang*. Deep Classification Consistency for Person Re-Identification. IEEE Access, 2020, 8:191683-191693
Visual Tracking Jointly with Online and Offline Learning
Published in IEEE Access, 2017
Recommended citation: Aihong Shen, Shengjing Tian, Guoqiang Tian, Jie Zhang*, Xiuping Liu. Visual Tracking Jointly with Online and Offline Learning. IEEE Access, 2020, 8:181091-181101.
Support-Free Hollowing
Published in IEEE Transactions on Visualization and Computer Graphics, 2018
Recommended citation: Weiming Wang, Yong-Jin Liu, Jun Wu, Shengjing Tian, Charlie C. L. Wang*, Ligang Liu, Xiuping Liu. Support-Free Hollowing. IEEE Transactions on Visualization and Computer Graphics, 2018, 24(10): 2787-2798.
Improved C-COT Based on Feature Channels Confidence for Visual Tracking
Published in Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2019
Recommended citation: Shuwei Shen, Shengjing Tian, Leyuan Wang, Aihong Shen, Xiuping Liu*. Improved C-COT Based on Feature Channels Confidence for Visual Tracking. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2019, 13(5):1-14.
SFE-SSD: Shallow Feature Enhancement SSD for Small Object Detection
Published in Journal of Mathematical Research with Applications, 2019
Recommended citation: Hongchen Tan, Jun Zhou, Shengjing Tian, Xiuping Liu*. SFE-SSD: Shallow Feature Enhancement SSD for Small Object Detection. Journal of Mathematical Research with Applications, 2019, 39(6):733-744.
End-to-end deep metric network for visual tracking
Published in The Visual Computer, 2020
Recommended citation: Shengjing Tian*, Shuwei Shen, Guoqiang Tian, Xiuping Liu, Baocai Yin. End-to-end deep metric network for visual tracking. The Visual Computer. 2020, 36(6):1219-1232.
Siamese Tracking Network with Informative Enhanced Loss
Published in IEEE Transactions on Multimedia, 2021
Recommended citation: Shengjing Tian, Xiuping Liu*, Meng Liu, Shuhua Li, and Baocai Yin. Siamese Tracking Network with Informative Enhanced Loss. IEEE Transactions on Multimedia, 2021, 23:120-132.
Deep Supervised Descent Method with Multiple Seeds Generation for 3D Point Cloud Tracking
Published in IEEE Transactions on Industrial Informatics, 2022
Recommended citation: Shengjing Tian, Bin Liu, Hongchen Tan, Meng Liu, Jun Liu, Xiuping Liu*. Deep Supervised Descent Method with Multiple Seeds Generation for 3D Point Cloud Tracking, IEEE Trans. on Industrial Informatics, 2022, 18(8):5077-5086.
Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds
Published in Remote Sensing, 2022
Recommended citation: Shengjing Tian, Xiuping Liu*, Meng Liu, Yuhao Bian, Junbin Gao, Baocai Yin. Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds. Remote Sensing, 2021, 13(14), 2770.
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds
Published in IEEE Transactions on Multimedia, 2024
Recommended citation: Xiantong Zhao; Yinan Han; Shengjing Tian*; Jian Liu; Xiuping Liu. OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds. IEEE Transactions on Multimedia. 2025, 27: 990-1002.
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
Published in IEEE Transactions on Image Processing, 2024
Recommended citation: Shengjing Tian*, Jun Liu, and Xiuping Liu. Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds. IEEE Transactions on Image Processing. 2024, 33:682-695.
LiDAR Point Cloud Tracking Method Using Point-Voxel Correlation Fusion under 3D Sparse Convolutional Framework
Published in ACTA ELECTRONICA SINICA, 2024
Recommended citation: Shengjing Tian*; Yinan Han; Xiantong Zhao; Xiuping Liu; Ming Zhang. LiDAR Point Cloud Tracking Method Using Point-Voxel Correlation Fusion under 3D Sparse Convolutional Framework. ACTA ELECTRONICA SINICA. Accept. 稀疏卷积结构下融合空间点与体素关系建模的LiDAR点云跟踪方法, 电子学报
iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself
Published in IEEE Transactions on Information Forensics and Security, 2024
Recommended citation: Yuhao Bian; Shengjing Tian; Xiuping Liu. iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself. IEEE Transactions on Information Forensics and Security. 2024, 19：7994-8008.
Exploring the Answering Capability of Large Language Models in Addressing Complex Knowledge in Entrepreneurship Education
Published in IEEE Transactions on Learning Technologies, 2024
Recommended citation: Qi Lang; Shengjing Tian; Mo Wang; Jianan Wang. Exploring the Answering Capability of Large Language Models in Addressing Complex Knowledge in Entrepreneurship Education. IEEE Transactions on Learning Technologies. 2024, 17：2107-2116.
Transfer Operator Learning Boosts Point Cloud Representation with Pre-trained Visual Models
Published in Computer Graphics International (CCF C), 2025
Recommended citation: Yinan Han, Xiuping Liu, Shengjing Tian*, Yuhao Bian and Xiantong Zhao. Transfer Operator Learning Boosts Point Cloud Representation with Pre-trained Visual Models. The 42nd Computer Graphics International (CGI), 2025, Accepted.
talks
Object Tracking Algorithms from LiDAR Point Clouds
Published:
[More information here]
Open-world Perception Methods in LiDAR Point Clouds
Published:
[More information here]
Adversarial Attacks on LiDAR-Based Tracking Across Road Users: Evaluation and Novel Target-Aware Black-Box Method.
Published:
[More information here]
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.