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2020 – today
- 2024
[j7]Siyu Chen
, Kangcheng Liu, Chen Wang, Shenghai Yuan, Jianfei Yang, Lihua Xie:
Salient Sparse Visual Odometry With Pose-Only Supervision. IEEE Robotics Autom. Lett. 9(5): 4774-4781 (2024)- [j6]Aoran Xiao, Jiaxing Huang, Kangcheng Liu, Dayan Guan, Xiaoqin Zhang, Shijian Lu:
Domain Adaptive LiDAR Point Cloud Segmentation via Density-Aware Self-Training. IEEE Trans. Intell. Transp. Syst. 25(10): 13627-13639 (2024) - [c18]Xu Zheng, Yunhao Luo, Chong Fu, Kangcheng Liu, Lin Wang:
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. ICRA 2024: 11147-11154 - [c17]Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen, Shenghai Yuan, Shuyang Zhang, Kangcheng Liu, Lihua Xie:
Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning. ICRA 2024: 13717-13723 - [i22]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:
Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion". CoRR abs/2401.08939 (2024) - [i21]Sheng Hong, Junjie He, Xinhu Zheng, Hesheng Wang, Hao Fang, Kangcheng Liu, Chunran Zheng, Shaojie Shen:
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering. CoRR abs/2401.14857 (2024) - [i20]Kangcheng Liu, Xinhu Zheng, Chaoqun Wang, Hesheng Wang, Ming Liu, Kai Tang:
Online Robot Navigation and and Manipulation with Distilled Vision-Language Models. CoRR abs/2401.17083 (2024) - [i19]Siyu Chen, Kangcheng Liu, Chen Wang, Shenghai Yuan, Jianfei Yang, Lihua Xie:
Salient Sparse Visual Odometry With Pose-Only Supervision. CoRR abs/2404.04677 (2024) - 2023
- [j5]Kangcheng Liu:
RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-Based Semantic Region Merging. Int. J. Comput. Vis. 131(4): 938-967 (2023) - [j4]Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen:
FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding. IEEE Trans. Cybern. 53(1): 553-564 (2023) - [j3]Kangcheng Liu, Ben M. Chen:
Industrial UAV-Based Unsupervised Domain Adaptive Crack Recognitions: From Database Towards Real-Site Infrastructural Inspections. IEEE Trans. Ind. Electron. 70(9): 9410-9420 (2023) - [j2]Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Liu:
SVCNet: Scribble-Based Video Colorization Network With Temporal Aggregation. IEEE Trans. Image Process. 32: 4443-4458 (2023) - [j1]Zhi Gao, Xuhui Zhao, Min Cao, Ziyao Li, Kangcheng Liu, Ben M. Chen:
Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. 24(10): 10676-10690 (2023) - [c16]Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing:
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CVPR 2023: 9382-9392 - [c15]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CVPR 2023: 9476-9485 - [c14]Muqing Cao, Xinhang Xu, Shenghai Yuan, Kun Cao, Kangcheng Liu, Lihua Xie:
DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels. IROS 2023: 6962-6969 - [c13]Muqing Cao, Kun Cao, Shenghai Yuan, Kangcheng Liu, Yan Loi Wong, Lihua Xie:
Path Planning for Multiple Tethered Robots Using Topological Braids. Robotics: Science and Systems 2023 - [i18]Kangcheng Liu:
An Integrated Visual System for Unmanned Aerial Vehicles Tracking and Landing on the Ground Vehicles. CoRR abs/2301.00198 (2023) - [i17]Kangcheng Liu:
A LiDAR-Inertial-Visual SLAM System with Loop Detection. CoRR abs/2301.05604 (2023) - [i16]Kangcheng Liu:
Learning-Based Defect Recognitions for Autonomous UAV Inspections. CoRR abs/2302.06093 (2023) - [i15]Muqing Cao, Xinhang Xu, Shenghai Yuan, Kun Cao, Kangcheng Liu, Lihua Xie:
DoubleBee: A Hybrid Aerial-Ground Robot with Two Active Wheels. CoRR abs/2303.05075 (2023) - [i14]Kangcheng Liu, Aoran Xiao, Xiaoqin Zhang, Shijian Lu, Ling Shao:
FAC: 3D Representation Learning via Foreground Aware Feature Contrast. CoRR abs/2303.06388 (2023) - [i13]Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Liu:
SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation. CoRR abs/2303.11591 (2023) - [i12]Aoran Xiao, Jiaxing Huang, Weihao Xuan, Ruijie Ren, Kangcheng Liu, Dayan Guan, Abdulmotaleb El-Saddik, Shijian Lu, Eric P. Xing:
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds. CoRR abs/2304.00690 (2023) - [i11]Muqing Cao, Kun Cao, Shenghai Yuan, Kangcheng Liu, Yan Loi Wong, Lihua Xie:
Path Planning for Multiple Tethered Robots Using Topological Braids. CoRR abs/2305.00271 (2023) - [i10]Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen, Shenghai Yuan, Shuyang Zhang, Kangcheng Liu, Lihua Xie:
Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning. CoRR abs/2309.08914 (2023) - [i9]Kangcheng Liu, Yong-Jin Liu, Kai Tang, Ming Liu, Baoquan Chen:
Generalized Label-Efficient 3D Scene Parsing via Hierarchical Feature Aligned Pre-Training and Region-Aware Fine-tuning. CoRR abs/2312.00663 (2023) - [i8]Kangcheng Liu:
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors. CoRR abs/2312.01262 (2023) - [i7]Kangcheng Liu:
A Data-efficient Framework for Robotics Large-scale LiDAR Scene Parsing. CoRR abs/2312.02208 (2023) - 2022
- [c12]Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen:
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination. ECCV (28) 2022: 37-55 - [c11]Kangcheng Liu, Huosen Ou:
A Light-Weight LiDAR-Inertial SLAM System with High Efficiency and Loop Closure Detection Capacity. ICARM 2022: 284-289 - [c10]Guidong Yang, Kangcheng Liu, Zuoquan Zhao, Jihan Zhang, Xi Chen, Ben M. Chen:
Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Classification. ICCA 2022: 15-22 - [c9]Kangcheng Liu, Guidong Yang, Jihan Zhang, Zuoquan Zhao, Xi Chen, Ben M. Chen:
Datasets and Methods for Boosting Infrastructure Inspection: A Survey on Defect Segmentation and Detection. ICCA 2022: 23-30 - [c8]Kangcheng Liu, Xunkuai Zhou, Ben M. Chen:
An Enhanced LiDAR Inertial Localization and Mapping System for Unmanned Ground Vehicles. ICCA 2022: 587-592 - [c7]Kangcheng Liu, Xunkuai Zhou, Benyun Zhao, Huosen Ou, Ben M. Chen:
An Integrated Visual System for Unmanned Aerial Vehicles Following Ground Vehicles: Simulations and Experiments. ICCA 2022: 593-598 - [c6]Kangcheng Liu, Yuzhi Zhao, Zhi Gao, Ben M. Chen:
WeakLabel3D-Net: A Complete Framework for Real-Scene LiDAR Point Clouds Weakly Supervised Multi-Tasks Understanding. ICRA 2022: 5108-5115 - [c5]Kangcheng Liu, Aoran Xiao, Jiaxing Huang, Kaiwen Cui, Yun Xing, Shijian Lu:
D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR SLAM in Complicated Circumstances with Noisy Point Clouds. IROS 2022: 12212-12218 - [c4]Kangcheng Liu:
Robust Industrial UAV/UGV-Based Unsupervised Domain Adaptive Crack Recognitions with Depth and Edge Awareness: From System and Database Constructions to Real-Site Inspections. ACM Multimedia 2022: 5361-5370 - [i6]Kangcheng Liu:
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation. CoRR abs/2211.15066 (2022) - [i5]Kangcheng Liu:
An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds. CoRR abs/2212.05705 (2022) - [i4]Kangcheng Liu, Huosen Ou:
A Light-Weight LiDAR-Inertial SLAM System with Loop Closing. CoRR abs/2212.05743 (2022) - [i3]Kangcheng Liu:
An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping. CoRR abs/2212.14209 (2022) - 2021
- [c3]Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen:
FG-Conv: Large-Scale LiDAR Point Clouds Understanding Leveraging Feature Correlation Mining and Geometric-Aware Modeling. ICRA 2021: 12896-12902 - [c2]Yuzhi Zhao, Lai-Man Po, Tingyu Lin, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong:
Legacy Photo Editing with Learned Noise Prior. WACV 2021: 2102-2111 - 2020
- [i2]Yuzhi Zhao, Lai Man Po, Xuehui Wang, Kangcheng Liu, Yujia Zhang, Wing Yin Yu, Pengfei Xian, Jingjing Xiong:
Legacy Photo Editing with Learned Noise Prior. CoRR abs/2011.11309 (2020) - [i1]Kangcheng Liu, Zhi Gao, Feng Lin, Ben M. Chen:
FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling. CoRR abs/2012.09439 (2020)
2010 – 2019
- 2019
- [c1]Kangcheng Liu, Xiaodong Han, Ben M. Chen:
Deep Learning Based Automatic Crack Detection and Segmentation for Unmanned Aerial Vehicle Inspections. ROBIO 2019: 381-387
Coauthor Index
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