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个人信息Personal Information
学科:计算机应用技术
所在单位:计算机与通信工程学院
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长期从事计算机视觉与模式识别方面的研究,重点研究针对图像和视频内容理解、以人为中心的视觉任务等相关理论与关键技术,在特征提取、图像/视频分类、目标检测与识别等方面取得了多项创新成果;近年来也结合学校的行业特色,开展钢铁工业智能方面的研究与应用。
- 纵向项目:基于生成式模型的开放类别与无监督目标检测关键技术研究,国家自然科学基金面上项目,负责人,2025.01-2028.12,
- 纵向项目:钢铁智能制造过程中数据认知与生产决策技术及应用,科技创新2030—新一代人工智能重大项目,子课题负责人,2023.03-2027.02,
- 纵向项目:面向小尺度与遮挡处理的目标检测关键技术研究,国家自然科学基金面上项目,主持,2021.01-2024.12,
- 纵向项目:基于视觉注意力建模与深度特征金字塔网络的目标检测研究,国家自然科学基金青年项目,主持,2018.01-2020.12,
- 纵向项目:基于深度网络中子类别感知和上下文增强的目标检测研究,北京市自然科学基金青年项目,主持,2017.01-2018.12,
- 纵向项目:适用于目标检测的多尺度特征增强深度神经网络研究,中央高校基础科研资助项目,主持,2017.01-2018.12,
- [期刊论文] C. Zhu and Y. Peng, “A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling”, IEEE Transactions on Image Processing (T-IP), 2015, Vol.24, No.12, pp.5619-5629. (SCI 1区,CCF-A类).
- [期刊论文] C. Zhu, C.-E. Bichot and L. Chen, “Image Region Description Using Orthogonal Combination of Local Binary Patterns Enhanced with Color Information”, Pattern Recognition (PR), 2013, Vol.46, No.7, pp.1949-1963. (SCI 1区,CCF-B类).
- [期刊论文] Y. Ma, M. Liu, C. Zhu* and X.-C. Yin, “HA-FGOVD: Highlighting Fine-Grained Attributes via Explicit Linear Composition for Open-Vocabulary Object Detection”, IEEE Transactions on Multimedia (T-MM), 2025, Vol.27, pp. 3171-3183. (SCI 1区,CCF-A类).
- [期刊论文] Y. He, C. Zhu* and X.-C. Yin, “Occluded Pedestrian Detection via Distribution-Based Mutual-Supervised Feature Learning”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022, Vol.23, No.8, pp. 10514-10529. (SCI 1区,CCF-B类).
- [期刊论文] D. Huang, C. Zhu, Y. Wang and L. Chen, “HSOG: A Novel Local Image Descriptor Based on Histograms of the Second-Order Gradients”, IEEE Transactions on Image Processing (T-IP), 2014, Vol. 23, No. 11, pp.4680-4695. (SCI 1区,CCF-A类).
- [期刊论文] C. Zhu and Y. Peng, “Discriminative Latent Semantic Feature Learning for Pedestrian Detection”, Neurocomputing, 2017, Vol.238, pp.126-138. (SCI 2区).
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