林凡超,工学博士,副教授,硕士生导师。博士毕业于中国科学技术大学智能多媒体内容计算实验室。主要研究领域为人工智能-视频图像智能分析。主持福建省自然科学基金创青项目,参与国家自然科学基金、省财政厅、省科技厅项目等。在国内外重要刊物上发表论文15篇,包括SCI一区TOP期刊论文和人工智能领域顶级会议论文等。授权发明专利6项。
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研究方向:
(1)人工智能深度学习
(2)视频图像智能分析
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研究生招生学科专业:
计算机技术(085404)— 海洋数据科学与工程
新一代电子信息技术(085401)— 海洋移动装备集群技术
每年拟招收硕士研究生2~3名,欢迎感兴趣的同学咨询报考!
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论文代表作:
[1] Fanchao Lin, Zhaofan Qiu, Chuanbin Liu, Ting Yao, Hongtao Xie, Yongdong Zhang. Prototypical matching networks for video object segmentation. IEEE Transactions on Image Processing, 32:5623–5636, 2023. (SCI,中科院一区TOP, CCF A类)
[2] Fanchao Lin, Hongtao Xie, Yan Li, Yongdong Zhang. Query-memory re-aggregation for weakly-supervised video object segmentation. In Proceedings of the AAAI conference on artificial intelligence, volume 35, pages 2038–2046, 2021.(人工智能领域顶级会议,CCF A类)
[3] Fanchao Lin, Hongtao Xie, Chuanbin Liu, Yongdong Zhang. Bilateral temporal re-aggregation for weakly-supervised video object segmentation. IEEE Transactions on Circuits Systems for Video Technology, 32(7):4498–4512, 2021. (SCI,中科院一区TOP, CCF B类)
[4] Fanchao Lin, Chuanbin Liu, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang. Semantic-embedding and shape-aware u-net for ultrasound eyeball segmentation. In 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 892–897. IEEE, 2019. (多媒体领域会议,CCF B类)
[5]林凡超, 谢洪涛, 刘传彬, 张勇东. 外观和运动模式感知的有丝分裂细胞检测. 中国图象图形学报, 28(9):2733–2748, 2023. (CCF B类期刊)
[6]Jiawei Yang, Hongwu Huang, Fanchao Lin*, Xiujing Gao, Junjie Jin, Biwen Zhang. Underwater image enhancement fusion method guided by salient region detection. Journal of Marine Science and Engineering, 12(8):1383, 2024. (SCI,通讯作者)
[7] Xiujing Gao, Junjie Jin, Fanchao Lin*, Hongwu Huang, Jiawei Yang, Yongfeng Xie, Biwen Zhang. Enhancing Underwater Images through Multi-Frequency Detail Optimization and Adaptive Color Correction[J]. Journal of Marine Science and Engineering, 2024, 12(10): 1790. (SCI,通讯作者)
[8]Xiujing Gao, Xinzhi Lin, Fanchao Lin*, Hongwu Huang. Segmentation point simultaneous localization and mapping: A stereo vision simultaneous localization and mapping method for unmanned surface vehicles in nearshore environments. Electronics, 13(16):3106, 2024. (SCI,通讯作者)
[9] Wei Lu, Yuchen Luo, Xue Xue*, Fanchao Lin*. A Novel Multi-Factor Fusion And Spatiotemporal Graph Convolutional Network Framework for Surface Electromyography Prediction[J]. Available at SSRN 5037357, 2025.(共同通讯)
[10] Biwen Zhang, Jingjun Jiang, Xiujing Gao, Yong Lin, Fanchao Lin, Hongwu Huang. Detection of defects in underwater concrete structures: Integrating compact robotic systems with an edge detection model. Ocean Engineering, 321:120390, 2025.
[11] 张玉, 武海, 林凡超, 黄福玉, 刘毅志. 图像识别中的深度学习模型剪枝技术[J].南京理工大学学报, 2023, 47(5):699-707
[12] Hai Wu, Chuanbin Liu, Fanchao Lin, Yizhi Liu. Filter Pruning Using Expectation Value of Feature Map’s Summation[C]//International Conference on Intelligent Robotics and Applications. Cham: Springer International Publishing, 2021: 748-755.
[13] Maolin Pang, Sunao Liu, Fanchao Lin, Songlin Liu, Bei Tian, Wenli Yang. Measurement of optic nerve sheath on ocular ultrasound image based on segmentation by CNN[C]//2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2019: 1-5.
[14] Hai Wu, Hongtao Xie, Fanchao Lin, Sicheng Zhang, Jun Sun, Yongdong Zhang. WaveCSN: cascade segmentation network for hip landmark detection[C]//Proceedings of the 1st ACM International Conference on Multimedia in Asia. 2019: 1-6.
[15] Chuanbin Liu, Hongtao Xie, Yizhi Liu, Zhengjun Zha., Fanchao Lin, Yongdong Zhang. Extract bone parts without human prior: End-to-end convolutional neural network for pediatric bone age assessment[C]//Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI 22. Springer International Publishing, 2019: 667-675.
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科研项目:
(1)福建省自然科学基金创青项目,基于深度迁移的水下目标分割技术研究,主持,在研
(2)福建理工大学海洋研究专项基金项目,视觉大模型在水下图像分割中的迁移训练方法研究,主持,在研
(3)福建理工大学科研启动项目,弱标注和低资源条件下的水下视觉分析,主持,在研
(4)福建省财政厅自科项目,水下图像增强及目标识别技术开发,参与,在研
(5)福建省科技厅重大专项,智能水下网衣清洗机器人研制及产业化应用,参与,在研
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