Zhijian Qiao
Orcid: 0000-0001-6639-1110
According to our database1,
Zhijian Qiao
authored at least 20 papers
between 2020 and 2024.
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Bibliography
2024
VCounselor: a psychological intervention chat agent based on a knowledge-enhanced large language model.
Multim. Syst., December, 2024
FM-Fusion: Instance-Aware Semantic Mapping Boosted by Vision-Language Foundation Models.
IEEE Robotics Autom. Lett., 2024
Speak the Same Language: Global LiDAR Registration on BIM Using Pose Hough Transform.
CoRR, 2024
The Tribal Theater Model: Social Regulation for Dynamic User Adaptation in Virtual Interactive Environments.
CoRR, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
CoRR, 2023
Multi-Session, Localization-Oriented and Lightweight LiDAR Mapping Using Semantic Lines and Planes.
IROS, 2023
IROS, 2023
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.
IROS, 2023
2021
IEEE Trans. Image Process., 2021
Robust Simultaneous Tracking and Local Dense Structured Mapping at Scenes lack of Geometric Features.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021
A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments.
IEEE Robotics Autom. Mag., 2020
vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition.
CoRR, 2020
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences.
CoRR, 2020
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments.
CoRR, 2020
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020