Kangcheng Liu

According to our database, Kangcheng Liu authored at least 37 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Robot Navigation and and Manipulation with Distilled Vision-Language Models.

Kangcheng Liu, Xinhu Zheng, Chaoqun Wang, Hesheng Wang, Ming Liu, Kai Tang

CoRR, 2024

LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering.

Sheng Hong, Junjie He, Xinhu Zheng, Hesheng Wang, Hao Fang, Kangcheng Liu, Chunran Zheng, Shaojie Shen

CoRR, 2024

Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion".

Yingbing Chen, Jie Cheng, Sheng Wang, Hongji Liu, Xiaodong Mei, Xiaoyang Yan, Mingkai Tang, Ge Sun, Ya Wen, Junwei Cai, Xupeng Xie, Lu Gan, Mandan Chao, Ren Xin, Ming Liu, Jianhao Jiao, Kangcheng Liu, Lujia Wang

CoRR, 2024

2023

Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection.

Zhi Gao, Xuhui Zhao, Min Cao, Ziyao Li, Kangcheng Liu, Ben M. Chen

IEEE Trans. Intell. Transp. Syst., October, 2023

Industrial UAV-Based Unsupervised Domain Adaptive Crack Recognitions: From Database Towards Real-Site Infrastructural Inspections.

Kangcheng Liu, Ben M. Chen

IEEE Trans. Ind. Electron., September, 2023

RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-Based Semantic Region Merging.

Kangcheng Liu

Int. J. Comput. Vis., April, 2023

SVCNet: Scribble-Based Video Colorization Network With Temporal Aggregation.

Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Liu

IEEE Trans. Image Process., 2023

FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding.

Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen

IEEE Trans. Cybern., 2023

A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing.

Kangcheng Liu

CoRR, 2023

A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors.

Kangcheng Liu

CoRR, 2023

Generalized Label-Efficient 3D Scene Parsing via Hierarchical Feature Aligned Pre-Training and Region-Aware Fine-tuning.

Kangcheng Liu, Yong-Jin Liu, Kai Tang, Ming Liu, Baoquan Chen

CoRR, 2023

Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning.

Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen, Shenghai Yuan, Shuyang Zhang, Kangcheng Liu, Lihua Xie

CoRR, 2023

Learning-Based Defect Recognitions for Autonomous UAV Inspections.

Kangcheng Liu

CoRR, 2023

A LiDAR-Inertial-Visual SLAM System with Loop Detection.

Kangcheng Liu

CoRR, 2023

An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles.

Kangcheng Liu

CoRR, 2023

Path Planning for Multiple Tethered Robots Using Topological Braids.

Muqing Cao, Kun Cao, Shenghai Yuan, Kangcheng Liu, Yan Loi Wong, Lihua Xie

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels.

Muqing Cao, Xinhang Xu, Shenghai Yuan, Kun Cao, Kangcheng Liu, Lihua Xie

IROS, 2023

3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds.

Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FAC: 3D Representation Learning via Foreground Aware Feature Contrast.

Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping.

Kangcheng Liu

CoRR, 2022

A Light-Weight LiDAR-Inertial SLAM System with Loop Closing.

Kangcheng Liu, Huosen Ou

CoRR, 2022

An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds.

Kangcheng Liu

CoRR, 2022

Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation.

Kangcheng Liu

CoRR, 2022

Robust Industrial UAV/UGV-Based Unsupervised Domain Adaptive Crack Recognitions with Depth and Edge Awareness: From System and Database Constructions to Real-Site Inspections.

Kangcheng Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds.

Kangcheng Liu, Aoran Xiao, Jiaxing Huang, Kaiwen Cui, Yun Xing, Shijian Lu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

WeakLabel3D-Net: A Complete Framework for Real-Scene LiDAR Point Clouds Weakly Supervised Multi-Tasks Understanding.

Kangcheng Liu, Yuzhi Zhao, Zhi Gao, Ben M. Chen

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Classification.

Guidong Yang, Kangcheng Liu, Zuoquan Zhao, Jihan Zhang, Xi Chen, Ben M. Chen

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

An Integrated Visual System for Unmanned Aerial Vehicles Following Ground Vehicles: Simulations and Experiments.

Kangcheng Liu, Xunkuai Zhou, Benyun Zhao, Huosen Ou, Ben M. Chen

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

An Enhanced LiDAR Inertial Localization and Mapping System for Unmanned Ground Vehicles.

Kangcheng Liu, Xunkuai Zhou, Ben M. Chen

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection.

Kangcheng Liu, Guidong Yang, Jihan Zhang, Zuoquan Zhao, Xi Chen, Ben M. Chen

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

A Light-Weight LiDAR-Inertial SLAM System with High Efficiency and Loop Closure Detection Capacity.

Kangcheng Liu, Huosen Ou

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination.

Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Legacy Photo Editing with Learned Noise Prior.

Yuzhi Zhao, Lai-Man Po, Tingyu Lin, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

FG-Conv: Large-Scale LiDAR Point Clouds Understanding Leveraging Feature Correlation Mining and Geometric-Aware Modeling.

Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling.

Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen

CoRR, 2020

Legacy Photo Editing with Learned Noise Prior.

Yuzhi Zhao, Lai Man Po, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong

CoRR, 2020

2019

Deep Learning Based Automatic Crack Detection and Segmentation for Unmanned Aerial Vehicle Inspections.

Kangcheng Liu, Xiaodong Han, Ben M. Chen

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019