Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. - Liu Liu 012; Rujing Wang; Chengjun Xie; Po Yang 001; Sud Sudirman; Fangyuan Wang 001; Rui Li 027 (INDIN, 2019)

An Effective Data Augmentation Strategy for CNN-Based Pest Localization and Recognition in the Field. - Rui Li 027; Xiufang Jia; Min Hu; Man Zhou; Dengshan Li; Wancai Liu; Rujing Wang; Jie Zhang 033; Chengjun Xie; Liu Liu 012; Fangyuan Wang 001; Hongbo Chen; et al. (IEEE Access, 2019)

PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. - Liu Liu 012; Rujing Wang; Chengjun Xie; Po Yang 001; Fangyuan Wang 001; Sud Sudirman; Wancai Liu (IEEE Access, 2019)

A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data. - Jun Zhang 034; ZhongCheng Wu; Fang Li; Chengjun Xie; Tingting Ren; Jie Chen 035; Liu Liu 012 (Sensors, 2019)

FPHA-Afford: A Domain-Specific Benchmark Dataset for Occluded Object Affordance Estimation in Human-Object-Robot Interaction. - S. Muzamil Hussain; Liu Liu 012; Wenqiang Xu; Cewu Lu (ICIP, 2020)

An effective automatic system deployed in agricultural Internet of Things using Multi-Context Fusion Network towards crop disease recognition in the wild. - Yushan Zhao; Liu Liu 012; Chengjun Xie; Rujing Wang; Fangyuan Wang 001; Yingqiao Bu; Shunxiang Zhang (Appl. Soft Comput., 2020)

Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. - Fangyuan Wang 001; Rujing Wang; Chengjun Xie; Po Yang 001; Liu Liu 012 (Comput. Electron. Agric., 2020)

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network. - Dengshan Li; Rujing Wang; Chengjun Xie; Liu Liu 012; Jie Zhang 033; Rui Li 027; Fangyuan Wang 001; Man Zhou; Wancai Liu (Sensors, 2020)

OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval. - Han Xue; Liu Liu 012; Wenqiang Xu; Haoyuan Fu; Cewu Lu (BMVC, 2021)

Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline. - Man Zhou; Liu Liu 012; Rujing Wang (ICIP, 2021)

Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment. - Fangyuan Wang 001; Rujing Wang; Chengjun Xie; Jie Zhang 033; Rui Li 027; Liu Liu 012 (Comput. Electron. Agric., 2021)

Towards Real-World Category-level Articulation Pose Estimation. - Liu Liu 012; Han Xue; Wenqiang Xu; Haoyuan Fu; Cewu Lu (CoRR, 2021)

iSeg3D: An Interactive 3D Shape Segmentation Tool. - Sucheng Qian; Liu Liu 012; Wenqiang Xu; Cewu Lu (CoRR, 2021)

ReinforceNet: A reinforcement learning embedded object detection framework with region selection network. - Man Zhou; Rujing Wang; Chengjun Xie; Liu Liu 012; Rui Li 027; Fangyuan Wang 001; Dengshan Li (Neurocomputing, 2021)

Learning region-guided scale-aware feature selection for object detection. - Liu Liu 012; Rujing Wang; Chengjun Xie; Rui Li 027; Fangyuan Wang 001; Man Zhou; Yue Teng (Neural Comput. Appl., 2021)

GSS-RiskAsser: A Multi-Modal Deep-Learning Framework for Urban Gas Supply System Risk Assessment on Business Users. - Xuefei Li 003; Liangtu Song; Liu Liu 012; Linli Zhou (Sensors, 2021)

AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild. - Rujing Wang; Liu Liu 012; Chengjun Xie; Po Yang 001; Rui Li 027; Man Zhou (Sensors, 2021)

Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. - Liu Liu 012; Chengjun Xie; Rujing Wang; Po Yang 001; Sud Sudirman; Jie Zhang 033; Rui Li 027; Fangyuan Wang 001 (IEEE Trans. Ind. Informatics, 2021)

AKB-48: A Real-World Articulated Object Knowledge Base. - Liu Liu 012; Wenqiang Xu; Haoyuan Fu; Sucheng Qian; Qiaojun Yu; Yang Han; Cewu Lu (CVPR, 2022)

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. - Lixin Yang 001; Kailin Li 001; Xinyu Zhan 001; Fei Wu 001; Anran Xu; Liu Liu 012; Cewu Lu (CVPR, 2022)

AKB-48: A Real-World Articulated Object Knowledge Base. - Liu Liu 012; Wenqiang Xu; Haoyuan Fu; Sucheng Qian; Yang Han; Cewu Lu (CoRR, 2022)

Towards densely clustered tiny pest detection in the wild environment. - Jianming Du; Liu Liu 012; Rui Li 027; Lin Jiao; Chengjun Xie; Rujing Wang (Neurocomputing, 2022)

A global activated feature pyramid network for tiny pest detection in the wild. - Liu Liu 012; Rujing Wang; Chengjun Xie; Rui Li 027; Fangyuan Wang 001; Long Qi (Mach. Vis. Appl., 2022)

When Pansharpening Meets Graph Convolution Network and Knowledge Distillation. - Keyu Yan; Man Zhou; Liu Liu 012; Chengjun Xie; Danfeng Hong (IEEE Trans. Geosci. Remote. Sens., 2022)

Toward Real-World Category-Level Articulation Pose Estimation. - Liu Liu 012; Han Xue; Wenqiang Xu; Haoyuan Fu; Cewu Lu (IEEE Trans. Image Process., 2022)

Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning. - Liu Liu 012; Jianming Du; Hao Wu 040; Xun Yang 001; Zhenguang Liu; Richang Hong; Meng Wang 001 (ACM Multimedia, 2023)

KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking. - Liu Liu 012; Anran Huang; Qi Wu 007; Dan Guo 001; Xun Yang 001; Meng Wang 001 (AAAI, 2024)

U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation. - Li Zhang 104; Weiqing Meng; Yan Zhong 001; Bin Kong; Mingliang Xu; Jianming Du; Xue Wang; Rujing Wang; Liu Liu 012 (ECCV (10), 2024)

GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects. - Qiaojun Yu; Junbo Wang 004; Wenhai Liu; Ce Hao; Liu Liu 012; Lin Shao 002; Weiming Wang; Cewu Lu (ICRA, 2024)

RPMArt: Towards Robust Perception and Manipulation for Articulated Objects. - Junbo Wang 004; Wenhai Liu; Qiaojun Yu; Yang You 004; Liu Liu 012; Weiming Wang; Cewu Lu (IROS, 2024)

Thermal-NeRF: Neural Radiance Fields from an Infrared Camera. - Tianxiang Ye; Qi Wu 007; Junyuan Deng; Guoqing Liu; Liu Liu 012; Songpengcheng Xia; Liang Pang; Wenxian Yu; Ling Pei (IROS, 2024)

High-throughput spike detection and refined segmentation for wheat Fusarium Head Blight in complex field environments. - Qiong Zhou; Ziliang Huang; Liu Liu 012; Fenmei Wang; Yue Teng; Haiyun Liu; Youhua Zhang; Rujing Wang (Comput. Electron. Agric., 2024)

ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics. - Qiaojun Yu; Ce Hao; Junbo Wang 004; Wenhai Liu; Liu Liu 012; Yao Mu 001; Yang You 004; Hengxu Yan; Cewu Lu (CoRR, 2024)

Vegetation Land Segmentation with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal Learning Approach and a New Dataset. - Fang Qu; Youqiang Sun; Man Zhou; Liu Liu 012; Huamin Yang; Junqing Zhang; He Huang; Danfeng Hong (Remote. Sens., 2024)

EACT-Det: An Efficient Adjusting Criss-cross windows Transformer Embedding Pyramid Networks for Similar Disease Detection. - Fenmei Wang; Rujing Wang; Ziliang Huang; Shifeng Dong; Xiuzhen Wang; Qiong Zhou; Shijian Zheng; Liu Liu 012 (Multim. Tools Appl., 2024)

R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy. - Li Zhang 104; Haonan Jiang; Yukang Huo; Yan Zhong 001; Jianan Wang; Xue Wang; Rujing Wang; Liu Liu 012 (AAAI, 2025)

GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction. - Li Zhang 104; Mingliang Xu; Jianan Wang; Qiaojun Yu; Lixin Yang 001; Yonglu Li 001; Cewu Lu; Rujing Wang; Liu Liu 012 (CVPR, 2025)

Generalizable Articulated Object Perception with Superpoints. - Qiaojun Yu; Ce Hao; Xibin Yuan; Li Zhang 104; Liu Liu 012; Yukang Huo; Rohit Agarwal; Cewu Lu (ICASSP, 2025)

UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models. - Qiaojun Yu; Siyuan Huang 004; Xibin Yuan; Zhengkai Jiang 001; Ce Hao; Xin Li 110; Haonan Chang; Junbo Wang 004; Liu Liu 012; Hongsheng Li 001; Peng Gao 007; Cewu Lu (ICRA, 2025)

Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment. - Wenbo Xu; Li Zhang 104; Liu Liu 012; Yan Zhong 001; Haonan Jiang; Xue Wang; Rujing Wang (IJCAI, 2025)

UA-LIO: An Uncertainty-Aware LiDAR-Inertial Odometry for Autonomous Driving in Urban Environments. - Qi Wu 007; Xieyuanli Chen; Xiangyu Xu; Xinliang Zhong; Xingwei Qu; Songpengcheng Xia; Guoqing Liu; Liu Liu 012; Wenxian Yu; Ling Pei (IEEE Trans. Instrum. Meas., 2025)

REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints. - Di Wu; Liu Liu 012; Linli Zhou; Anran Huang; Liangtu Song; Qiaojun Yu; Qi Wu 007; Cewu Lu (CoRR, 2025)

Distilling Textual Priors from LLM to Efficient Image Fusion. - Ran Zhang; Xuanhua He; Ke Cao; Liu Liu 012; Li Zhang 104; Man Zhou; Jie Zhang 033 (CoRR, 2025)

ArtGS:3D Gaussian Splatting for Interactive Visual-Physical Modeling and Manipulation of Articulated Objects. - Qiaojun Yu; Xibin Yuan; Yu Jiang; Junting Chen; Dongzhe Zheng; Ce Hao; Yang You 004; Yixing Chen 008; Yao Mu 001; Liu Liu 012; Cewu Lu (CoRR, 2025)

Rethinking Pan-sharpening: Principled Design, Unified Training, and a Universal Loss Surpass Brute-Force Scaling. - Ran Zhang; Xuanhua He; Li Xueheng; Ke Cao; Liu Liu 012; Wenbo Xu; Fang Jiabin; Yang Qize; Jie Zhang 033 (CoRR, 2025)

Rethinking Image Forgery Detection and Localization via Regression Perspective. - Li Zhang 104; Dong Li 055; Yan Zhong 001; Jiaying Zhu; Rujing Wang; Xingyu Wu; Xue Wang; Liu Liu 012 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)