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李俊

  • 职称：研究员
  • 学科：
  • 电子邮件：junli@fjirsm.ac.cn
  • 研究方向：

    图像强化认知、机器人自适应交互控制

简介

    李俊，研究员，博士生导师, 于海外学习并获得博士学位，中国科学院大学控制科学与工程博士点学科方向带头人，现任中国科学院海西研究院泉州装备制造研究中心副主任，福建省机器人智能系统工程技术研究中心主任，IEEE高级会员、CCF杰出会员，研究聚焦于基于图像认知的机器人自适应交互控制相关理论与技术研究，出版外文专著2部，发表各类学术论文100余篇，授权发明专利49项。入选福建省百千万人才工程、福建省引进高层次创业人才等。近年来，主持国家重点研发计划课题、福建省科技重大专项、STS重大项目等省部级以上项目多项，取得了一系列原创性与实用性的研究成果。

代表性论著

1. Gao Y, Su Y, Li Q, Li H, Li J*. Single image dehazing via self-constructing image fusion[J]. Signal Processing, 2020, 167: 107284.

2. Li Q, Lan X, Li J. Information fusion on the two-layer network for robust estimation of multiple geometric structures[J]. Information Sciences, 2020, 530: 148-166.

3. Li Q, Qiang H, Li J*. Conditional random fields as message passing mechanism in anchor-free network for multi-scale pedestrian detection[J]. Information Sciences, 2021, 550: 1-12.

4. Li Q, Su Y, Gao Y, Xie F, Li J*. OAF-Net: An occlusion-aware anchor-free network for pedestrian detection in a crowd[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(11): 21291-21300.

5. Li Q, Bi Y, Cai R, Li J*. Occluded pedestrian detection through bi-center prediction in anchor-free network[J]. Neurocomputing, 2022, 507: 199-207.

6. Li J, Han Y, Gao Y, et al. An enhance relative total variation with bf model for edge-preserving image smoothing[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(10): 5420-5432.

7. Li J, Bi Y, Wang S, et al. CFRLA-Net: A Context-aware Feature Representation Learning Anchor-free Network for Pedestrian Detection [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(9): 4948-4961.

8. Xue K, Zheng K, Yang J, Xie Y, Zhao,Y, Li J*. An Inertia-Based Upper Limb Motion Capture Model for Accurate Position Estimation in Magnetic Field Disturbances[J]. IEEE Sensors Journal, 2023, 24(3):3756-3765.

9. Li Q, Cheng J, Gao Y, Li J*. Learning Geometric Information via Transformer Network for Key-Points Based Motion Segmentation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. 34(9): 7856-7869.

10. Li J, Chen T, Ji K, et al. OADB-Net: An Occlusion-Aware Dual-Branch Network for Pedestrian Detection[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.

11. Yu R, Xie Y, Li Q, Guo Z, Dai Y, Fang Z, Li J*. Development and Experiment of Adaptive Oolong Tea Harvesting Robot Based on Visual Localization. Agriculture. 2024; 14(12):2213.