Jie Ma

Orcid: 0000-0003-1996-5163

Affiliations:
  • 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 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

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

How SAM helps Unsupervised Video Object Segmentation?
Proceedings of the International Joint Conference on Neural Networks, 2024

LiDAR-Camera Extrinsic Calibration with Hierachical and Iterative Feature Matching.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Low-Rank Completion Based Normal Guided Lidar Point Cloud Up-Sampling.
Proceedings of the IEEE International Conference on Acoustics, 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

Lambertian Model-Based Normal Guided Depth Completion for LiDAR-Camera System.
IEEE Geosci. Remote. Sens. Lett., 2022

Deep structural information fusion for 3D object detection on LiDAR-camera system.
Comput. Vis. Image Underst., 2022

Distribution Aware VoteNet for 3D Object Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multimodal Urban Remote Sensing Image Registration Via Roadcross Triangular Feature.
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

Straight Sampling Network for Point Cloud Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Feature Interactive Representation for Point Cloud Registration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PSS: Point Semantic Saliency for 3D Object Detection.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2019
EMCM: A Novel Binary Edge-Feature-Based Maximum Clique Framework for Multispectral Image Matching.
Remote. Sens., 2019

Dehazing for images with sun in the sky.
J. Electronic Imaging, 2019

A Pipeline Neural Network for Low-Light Image Enhancement.
IEEE Access, 2019


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