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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：yyqu@xmu.edu.cn
- 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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[41]曲延云.Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification.arXiv,2024,
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[42]曲延云.Farewell to Cyclegan: Single Gan with Decoupled Constraint for Unpaired Image Dehazing.SSRN,2023,
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[43]曲延云.Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency.Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023,2023,371222-1230.
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[44]曲延云.Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation.MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia,2023,490-498.
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[45]曲延云,Memory-friendly Scalable Super-resolution via Rewinding Lottery Ticket Hypothesis.2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR),14398-14407.
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[46]曲延云.Sample-Aware Knowledge Distillation for Long-Tailed Learning.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
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[47]曲延云.Hardware-friendly Scalable Image Super Resolution with Progressively Structured Sparsity.MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia,2023,9061-9069.
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[48]曲延云.Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification.MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia,2023,3667-3675.
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[49]曲延云.Perturbed Progressive Learning for Semisupervised Defect Segmentation.IEEE Transactions on Neural Networks and Learning Systems,1-15.
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[50]曲延云.Bias to Balance: New-Knowledge-Preferred Few-Shot Class-Incremental Learning Via Transition Calibration.SSRN,2023,
