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周奕毅
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副教授
博士生导师
硕士生导师
- 电子邮箱：593ec0a3c4eac62d218023c96a87ea8fd711f8493f57a619f9af1781de1f9ca30663857bbee0991d0d51f8d34b06b515ff6a82bc70092ea5188fecea5e8796a27ef1f400eb73afe6f667fac348f6ee3e3ef6d0edd92a4e91ebed781ccf3fc3aba9d8098e1d1abe8f64f32031b392c9fba14a221f725c1847e3c4485ed32c4328
- 入职时间：2022-06-09
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：工学博士学位
- 在职信息：在职
- 毕业院校：厦门大学
- 2026-04曾获荣誉当选：毅善青年学者
- 2025-07曾获荣誉当选：小米青年学者
- 2025-12曾获荣誉当选：厦门市科技进步一等奖
- 2025-12曾获荣誉当选：教育部工程技术二等奖
访问量：
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[21]周奕毅.RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2023-June19144-19154.
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[22]周奕毅.DIFNet: Boosting Visual Information Flow for Image Captioning.Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2022-June17999-18008.
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[23]孙晓帅,周奕毅.Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning.IEEE TRANSACTIONS ON IMAGE PROCESSING,314321-4335.
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[24]周奕毅,孙晓帅,Free vqa models from knowledge inertia by pairwise inconformity learning.33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019,9316-9323.
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[25]戴平阳,周奕毅.CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible-Infrared Person Re-Identification.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2024,1-11.
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[26]周奕毅.Deep Instruction Tuning for Segment Anything Model.arXiv,2024,
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[27]周奕毅.Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks.Proceedings of the AAAI Conference on Artificial Intelligence,2024,38(7):7864-7872.
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[28]周奕毅.Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models.arXiv,2024,
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[29]周奕毅.Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization.arXiv,2024,
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[30]周奕毅.Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.arXiv,2024,
