Jie Ma
Orcid: 0000-0003-1996-5163Affiliations:
- Huazhong University of Science and Technology, HUST, School of Artificial Intelligence and Automation, Wuhan, Hubei, China (PhD 2004)
According to our database1,
Jie Ma
authored at least 33 papers
between 2016 and 2025.
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Bibliography
2025
Defect-LoRA: Controllable defect data augmentation based on low-rank adaptation for surface defect recognition under limited data.
Expert Syst. Appl., 2025
2024
Survey of Extrinsic Calibration on LiDAR-Camera System for Intelligent Vehicle: Challenges, Approaches, and Trends.
IEEE Trans. Intell. Transp. Syst., November, 2024
OL-Reg: Registration of Image and Sparse LiDAR Point Cloud With Object-Level Dense Correspondences.
IEEE Trans. Circuits Syst. Video Technol., August, 2024
Combined Anomaly Aware Weakly Supervised Lightweight Model for Surface Defect Inspection.
IEEE Trans. Ind. Informatics, April, 2024
A Robust LiDAR-Camera Self-Calibration Via Rotation-Based Alignment and Multi-Level Cost Volume.
IEEE Robotics Autom. Lett., January, 2024
ESC-Net: Alleviating Triple Sparsity on 3D LiDAR Point Clouds for Extreme Sparse Scene Completion.
IEEE Trans. Multim., 2024
SP-Det: Leveraging Saliency Prediction for Voxel-Based 3D Object Detection in Sparse Point Cloud.
IEEE Trans. Multim., 2024
Multiple Constraints Flow for Weakly Observable Defect Detection Based on Defect-Free Samples.
IEEE Trans. Instrum. Meas., 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Attention4Align: Align Multi-view Parts Via Part2Part Hierarchical Attention Map for Fine-Grained 3D Object Classification.
Proceedings of the Computer Vision - ACCV 2024, 2024
2023
RS-Aug: Improve 3D Object Detection on LiDAR With Realistic Simulator Based Data Augmentation.
IEEE Trans. Intell. Transp. Syst., September, 2023
Leveraging Self-Paced Semi-Supervised Learning with Prior Knowledge for 3D Object Detection on a LiDAR-Camera System.
Remote. Sens., February, 2023
ProUDA: Progressive unsupervised data augmentation for semi-Supervised 3D object detection on point cloud.
Pattern Recognit. Lett., 2023
2022
Online Extrinsic Calibration on LiDAR-Camera System with LiDAR Intensity Attention and Structural Consistency Loss.
Remote. Sens., 2022
NCFT: Automatic Matching of Multimodal Image Based on Nonlinear Consistent Feature Transform.
IEEE Geosci. Remote. Sens. Lett., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Comput. Vis. Image Underst., 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Multispectral Remote Sensing Image Matching via Image Transfer by Regularized Conditional Generative Adversarial Networks and Local Feature.
IEEE Geosci. Remote. Sens. Lett., 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
2020
2019
EMCM: A Novel Binary Edge-Feature-Based Maximum Clique Framework for Multispectral Image Matching.
Remote. Sens., 2019
2018
Representing local shape geometry from multi-view silhouette perspective: A distinctive and robust binary 3D feature.
Signal Process. Image Commun., 2018
Local voxelized structure for 3D binary feature representation and robust registration of point clouds from low-cost sensors.
Inf. Sci., 2018
2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016