Liu Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Articulated Objects

Convolutional Neural Network

Object Detection

Top Venues

Comput. Electron. Agric.

Publications

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) (2024)
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)
Junbo Wang, Wenhai Liu, Qiaojun Yu, Yang You, Liu Liu, Weiming Wang, Cewu Lu
RPMArt: Towards Robust Perception and Manipulation for Articulated Objects. CoRR (2024)
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 (2024)
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 (2022)
Liu Liu, Han Xue, Wenqiang Xu, Haoyuan Fu, Cewu Lu
Toward Real-World Category-Level Articulation Pose Estimation. IEEE Trans. Image Process. 31 (2022)
Jianming Du, Liu Liu, Rui Li, Lin Jiao, Chengjun Xie, Rujing Wang
Towards densely clustered tiny pest detection in the wild environment. Neurocomputing 490 (2022)
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) (2022)
Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Yang Han, Cewu Lu
AKB-48: A Real-World Articulated Object Knowledge Base. CoRR (2022)
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)
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)
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 (2022)
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 (2021)
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) (2021)
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 (2021)
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) (2021)
Man Zhou, Liu Liu, Rujing Wang
Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline. ICIP (2021)
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) (2021)
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) (2021)
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 (2020)
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) (2020)
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 (2020)
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 (2019)
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)
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 (2019)
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) (2019)