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曲延云
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教授
博士生导师
硕士生导师
- 出生日期：1972-12-18
- 电子邮箱：3fc75d4944b4d1e01b43ec475a9f1baceb9eadac91a28fd5da37d03d45af64d1259d4cab7cec3d5183fc7531b9e13fc253725ec8d6c2defce51077dc18ec39df240594f235fa84635f4dd1cf5300cece04be97317e36efcb5edb186cd0a4e1a8a2cdeefa2650cef7a3632768620a360f6c9db3e5658fe81833366670523051cc
- 入职时间：1998-08-01
- 所在单位：信息学院
- 学历：博士研究生毕业
- 办公地点：厦门市翔安区厦门大学翔安校区信息学院5号楼402
- 性别：女
- 学位：工学博士学位
- 在职信息：在职
访问量：
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[131]曲延云.En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2022-June9296-9305.
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[132]曲延云.Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds.35th AAAI Conference on Artificial Intelligence, AAAI 2021,2B1424-1432.
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[133]曲延云,Traffic sign recognition with inception convolutional neural networks.Communications in Computer and Information Science,819487-494.
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[134]曲延云,Hierarchical text detection: From word level to character level.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),7733 LNCS(PART 2):24-35.
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[135]曲延云,Scale robust deep oriented-text detection network.Pattern Recognition,102-.
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[136]曲延云.Multi-class spectral clustering based on particle swarm optimization.International Journal of Computers and Applications,33(1):64-69.
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[137]曲延云,Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud.THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE,353421-3429.
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[138]曲延云.NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results.IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops,2022-June905-918.
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[139]曲延云,Component localization in face alignment.Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,3874-3880.
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[140]曲延云.A boosting SVM chain learning for visual information retrieval.Proceedings of 2005 International Conference on Neural Networks and Brain Proceedings, ICNNB'05,2738-742.
