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ORCIDLiu Liu 0012
Person information
- affiliation: University of Science and Technology of China, Department of Automation, Hefei, China
- affiliation: Chinese Academy Sciences, Institute of Intelligent Machines, and Hefei Institute of Physical Science, Hefei, China
Other persons with the same name
- Liu Liu — disambiguation page
- Liu Liu 0001
![[0000-0002-7142-7621]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7142-7621")
— Beijing Jiaotong University, Institute of Broadband Wireless Mobile Communications, China - Liu Liu 0002 — Sichuan Normal University, Chengdu, China
- Liu Liu 0003 — Dalian University of Technology, School of Mathematical Sciences, China
- Liu Liu 0004 — National University of Defense Technology, College of Computer, Changsha, China
- Liu Liu 0005 — Tsinghua University, Department of Computer and Technology, Beijing, China
- Liu Liu 0006 — Fudan University, School of Computer Science, Shanghai, China
- Liu Liu 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Liu Liu 0008 — Swinburne University of Technology, School of Software and Electrical Engineering, Hawthorn, VIC, Australia
- Liu Liu 0009 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Liu Liu 0010 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China (and 1 more)
- Liu Liu 0011 — Nanjing University of Posts and Telecommunications, China
- Liu Liu 0013 — China Agricultural University, College of Water Resources and Civil Engineering, Center for Agricultural Water Research in China, Beijing, China
- Liu Liu 0014 — Tencent AI Lab (and 2 more)
- Liu Liu 0015 — Rutgers University, NJ, USA
- Liu Liu 0016 — DOCOMO Beijing Communications Laboratories Co., Ltd, Beijing, China
- Liu Liu 0017 — University of California, Santa Barbara, CA, USA
- Liu Liu 0018 — Massachusetts Institute of Technology, USA
- Liu Liu 0019 — Saarland University, Saarbrücken, Germany
- Liu Liu 0020 — Fujitsu Research and Development Center, Beijing, China
- Liu Liu 0021 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA
- Liu Liu 0022 — Shanghai Jiao Tong University, MoE Key Lab of Artificial Intelligence, China
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2020 – today
- 2025
[j20]Qi Wu, Xieyuanli Chen, Xiangyu Xu, Xinliang Zhong, Xingwei Qu, Songpengcheng Xia, Guoqing Liu, Liu Liu, Wenxian Yu, Ling Pei:
UA-LIO: An Uncertainty-Aware LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)- [c13]Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu:
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy. AAAI 2025: 9985-9993 - [i12]Di Wu, Liu Liu, Linli Zhou, Anran Huang, Liangtu Song, Qiaojun Yu, Qi Wu, Cewu Lu:
REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints. CoRR abs/2503.06677 (2025) - 2024
- [j19]Qiong Zhou, Ziliang Huang, Liu Liu, Fenmei Wang, Yue Teng, Haiyun Liu, Youhua Zhang, Rujing Wang:
High-throughput spike detection and refined segmentation for wheat Fusarium Head Blight in complex field environments. Comput. Electron. Agric. 227: 109552 (2024) - [j18]Fenmei Wang, Rujing Wang, Ziliang Huang, Shifeng Dong, Xiuzhen Wang, Qiong Zhou, Shijian Zheng, Liu Liu:
EACT-Det: An Efficient Adjusting Criss-cross windows Transformer Embedding Pyramid Networks for Similar Disease Detection. Multim. Tools Appl. 83(18): 55683-55707 (2024) - [j17]Fang Qu, Youqiang Sun, Man Zhou, Liu Liu, Huamin Yang, Junqing Zhang, He Huang, Danfeng Hong:
Vegetation Land Segmentation with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal Learning Approach and a New Dataset. Remote. Sens. 16(1): 3 (2024) - [c12]Liu Liu, Anran Huang, Qi Wu, Dan Guo, Xun Yang, Meng Wang:
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking. AAAI 2024: 3684-3692 - [c11]Li Zhang, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu:
U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation. ECCV (10) 2024: 254-270 - [c10]Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu:
GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects. ICRA 2024: 5419-5426 - [c9]Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei:
Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. IROS 2024: 1046-1053 - [c8]Junbo Wang, Wenhai Liu, Qiaojun Yu, Yang You, Liu Liu, Weiming Wang, Cewu Lu:
RPMArt: Towards Robust Perception and Manipulation for Articulated Objects. IROS 2024: 7270-7277 - [i11]Tianxiang Ye, Qi Wu, Junyuan Deng, Guoqing Liu, Liu Liu, Songpengcheng Xia, Liang Pang, Wenxian Yu, Ling Pei:
Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. CoRR abs/2403.10340 (2024) - [i10]Qiaojun Yu, Ce Hao, Junbo Wang, Wenhai Liu, Liu Liu, Yao Mu, Yang You, Hengxu Yan, Cewu Lu:
ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics. CoRR abs/2403.13365 (2024) - [i9]Junbo Wang, Wenhai Liu, Qiaojun Yu, Yang You, Liu Liu, Weiming Wang, Cewu Lu:
RPMArt: Towards Robust Perception and Manipulation for Articulated Objects. CoRR abs/2403.16023 (2024) - [i8]Qiaojun Yu, Siyuan Huang, Xibin Yuan, Zhengkai Jiang, Ce Hao, Xin Li, Haonan Chang, Junbo Wang, Liu Liu, Hongsheng Li, Peng Gao, Cewu Lu:
UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models. CoRR abs/2409.20551 (2024) - [i7]Qiaojun Yu, Ce Hao, Xibin Yuan, Li Zhang, Liu Liu, Yukang Huo, Rohit Agarwal, Cewu Lu:
Generalizable Articulated Object Perception with Superpoints. CoRR abs/2412.16656 (2024) - 2023
- [c7]Liu Liu, Jianming Du, Hao Wu, Xun Yang, Zhenguang Liu, Richang Hong, Meng Wang:
Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning. ACM Multimedia 2023: 728-736 - [i6]Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao, Liu Liu, Lin Shao, Weiming Wang, Cewu Lu:
GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects. CoRR abs/2309.16264 (2023) - 2022
- [j16]Jianming Du, Liu Liu, Rui Li, Lin Jiao, Chengjun Xie, Rujing Wang:
Towards densely clustered tiny pest detection in the wild environment. Neurocomputing 490: 400-412 (2022) - [j15]Liu Liu, Rujing Wang, Chengjun Xie, Rui Li, Fangyuan Wang, Long Qi:
A global activated feature pyramid network for tiny pest detection in the wild. Mach. Vis. Appl. 33(5): 76 (2022) - [j14]Keyu Yan, Man Zhou, Liu Liu, Chengjun Xie, Danfeng Hong:
When Pansharpening Meets Graph Convolution Network and Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j13]Liu Liu, Han Xue, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
Toward Real-World Category-Level Articulation Pose Estimation. IEEE Trans. Image Process. 31: 1072-1083 (2022) - [c6]Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Qiaojun Yu, Yang Han, Cewu Lu:
AKB-48: A Real-World Articulated Object Knowledge Base. CVPR 2022: 14789-14798 - [c5]Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu:
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. CVPR 2022: 20921-20930 - [i5]Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Yang Han, Cewu Lu:
AKB-48: A Real-World Articulated Object Knowledge Base. CoRR abs/2202.08432 (2022) - [i4]Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu:
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. CoRR abs/2203.15709 (2022) - 2021
- [j12]Fangyuan Wang, Rujing Wang, Chengjun Xie, Jie Zhang, Rui Li, Liu Liu:
Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment. Comput. Electron. Agric. 187: 106268 (2021) - [j11]Man Zhou, Rujing Wang, Chengjun Xie, Liu Liu, Rui Li, Fangyuan Wang, Dengshan Li:
ReinforceNet: A reinforcement learning embedded object detection framework with region selection network. Neurocomputing 443: 369-379 (2021) - [j10]Liu Liu, Rujing Wang, Chengjun Xie, Rui Li, Fangyuan Wang, Man Zhou, Yue Teng:
Learning region-guided scale-aware feature selection for object detection. Neural Comput. Appl. 33(11): 6389-6403 (2021) - [j9]Rujing Wang, Liu Liu, Chengjun Xie, Po Yang, Rui Li, Man Zhou:
AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild. Sensors 21(5): 1601 (2021) - [j8]Xuefei Li, Liangtu Song, Liu Liu, Linli Zhou:
GSS-RiskAsser: A Multi-Modal Deep-Learning Framework for Urban Gas Supply System Risk Assessment on Business Users. Sensors 21(21): 7010 (2021) - [j7]Liu Liu, Chengjun Xie, Rujing Wang, Po Yang, Sud Sudirman, Jie Zhang, Rui Li, Fangyuan Wang:
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. IEEE Trans. Ind. Informatics 17(11): 7589-7598 (2021) - [c4]Han Xue, Liu Liu, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval. BMVC 2021: 366 - [c3]Man Zhou, Liu Liu, Rujing Wang:
Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline. ICIP 2021: 2778-2782 - [i3]Liu Liu, Han Xue, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
Towards Real-World Category-level Articulation Pose Estimation. CoRR abs/2105.03260 (2021) - [i2]Han Xue, Liu Liu, Wenqiang Xu, Haoyuan Fu, Cewu Lu:
OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval. CoRR abs/2112.07334 (2021) - [i1]Sucheng Qian, Liu Liu, Wenqiang Xu, Cewu Lu:
iSeg3D: An Interactive 3D Shape Segmentation Tool. CoRR abs/2112.12988 (2021) - 2020
- [j6]Yushan Zhao, Liu Liu, Chengjun Xie, Rujing Wang, Fangyuan Wang, Yingqiao Bu, Shunxiang Zhang:
An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild. Appl. Soft Comput. 89: 106128 (2020) - [j5]Fangyuan Wang, Rujing Wang, Chengjun Xie, Po Yang, Liu Liu:
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. Comput. Electron. Agric. 169: 105222 (2020) - [j4]Dengshan Li, Rujing Wang, Chengjun Xie, Liu Liu, Jie Zhang, Rui Li, Fangyuan Wang, Man Zhou, Wancai Liu:
A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network. Sensors 20(3): 578 (2020) - [c2]S. Muzamil Hussain, Liu Liu, Wenqiang Xu, Cewu Lu:
FPHA-Afford: A Domain-Specific Benchmark Dataset for Occluded Object Affordance Estimation in Human-Object-Robot Interaction. ICIP 2020: 1416-1420
2010 – 2019
- 2019
- [j3]Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Fangyuan Wang, Sud Sudirman, Wancai Liu:
PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access 7: 45301-45312 (2019) - [j2]Rui Li, Xiufang Jia, Min Hu, Man Zhou, Dengshan Li, Wancai Liu, Rujing Wang, Jie Zhang, Chengjun Xie, Liu Liu, Fangyuan Wang, Hongbo Chen, Tianjiao Chen, Haiying Hu:
An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. IEEE Access 7: 160274-160283 (2019) - [j1]Jun Zhang, ZhongCheng Wu, Fang Li, Chengjun Xie, Tingting Ren, Jie Chen, Liu Liu:
A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. Sensors 19(6): 1356 (2019) - [c1]Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Sud Sudirman, Fangyuan Wang, Rui Li:
Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. INDIN 2019: 1507-1510
Coauthor Index
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