朱超，博士，副教授，项目博士生导师，分别于2005、2008和2012年在西安电子科技大学、西安交通大学和法国里昂中央理工大学获得学士、硕士和博士学位；于2013年在北京大学王选计算机研究所（原北京大学计算机科学技术研究所）从事博士后研究工作；于2016年加入kaiyun体育登录网页入口工作。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的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；已发表学术论文近30篇，包括CCF-A类/SCI 1区论文8篇，论文在Google Scholar中引用总计达600余次，其中Pattern Recognition论文在Web of Science中单篇他引近90次；主持国家自然科学基金项目2项、北京市自然科学基金项目1项、中央高校基础科研基金1项和中国博士后科学基金项目1项，并参与国家重点研发计划、863计划、腾讯企业合作等多个项目；已申请国家发明专利5项，并在多项国际计算机视觉领域评测竞赛中取得较好成绩。

1. 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. (CCF-A类期刊)

2. C. Zhu and Y. Peng, “Group Cost-Sensitive Boosting for Multi-Resolution Pedestrian Detection”, in Proc. of 30th AAAI Conference on Artificial Intelligence (AAAI), 2016, pp.3676-3682. (CCF-A类会议, oral)

3. C. Zhu and Y. Peng, “A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling”, in Proc. of 29th AAAI Conference on Artificial Intelligence (AAAI), 2015, pp.3878-3884. (CCF-A类会议, oral)

4. M. Liu, C. Zhu*, J. Wang and X.-C. Yin, “Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection”, in Proc. of 35th AAAI Conference on Artificial Intelligence (AAAI), 2021, pp.2154-2162. (CCF-A类会议)

5. 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. (CCF-A类期刊)

6. C. Zhu, C.-E. Bichot and L. Chen, “Image Region Description Using Orthogonal Combination of Local Binary Patterns Enhanced with Color Information”, Pattern Recognition, 2013, Vol.46, No.7, pp.1949-1963. (CCF-B类期刊)

7. C. Zhu, C.-E. Bichot and L. Chen, “Visual Object Recognition Using DAISY Descriptor”, in Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2011, pp.1-6. (CCF-B类会议)

8. 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), 2021, in press. (CCF-B类期刊)

9. D. Huang, C. Zhu, C.-E. Bichot, Y. Wang and L. Chen, “HSOG: A Novel Local Descriptor based on Histograms of Second Order Gradients for Object Categorization”, in Proc. of ACM International Conference on Multimedia Retrieval (ICMR), 2013, pp.199-206. (CCF-B类会议)

10. C. Zhu and Y. Peng, “Discriminative Latent Semantic Feature Learning for Pedestrian Detection”, Neurocomputing, 2017, Vol.238, pp.126-138. (CCF-C类期刊)

11. C. Zhu, C.-E. Bichot and L. Chen, “Multi-scale Color Local Binary Patterns for Visual Object Classes Recognition”, in Proc. of 20th IAPR International Conference on Pattern Recognition (ICPR), 2010, pp.3065-3068. (CCF-C类会议)

12. Y. He, C. Zhu* and X.-C. Yin, “Mutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection”, in Proc. of 25th IAPR International Conference on Pattern Recognition (ICPR), 2020, pp.8453-8460. (CCF-C类会议, oral)

13. X. Li, C. Yang, S.-L. Chen, C. Zhu* and X.-C. Yin, “Semantic Bilinear Pooling for Fine-Grained Recognition”, in Proc. of 25th IAPR International Conference on Pattern Recognition (ICPR), 2020, pp.3660-3666. (CCF-C类会议)

14. Y. Wang, C. Zhu* and X.-C. Yin, “A Hybrid Self-Attention Model for Pedestrians Detection”, in Proc. of 27th International Conference on Neural Information Processing (ICONIP), 2020, pp.62-74. (CCF-C类会议)

纵向项目：

1. 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

2. 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

3. 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

4. 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

5. 基于隐含语义表示和自适应子类建模的目标检测研究，中国博士后科学基金面上项目，主持，2014.05-2015.12

横向项目：

1. 多模态视频广告理解技术，腾讯（深圳），参与，2020.09-2021.09

2. 面向广告场景图片的文本识别技术，腾讯（深圳），参与，2017.12-2019.12

3. 网络场景图片文字检测与识别研究，腾讯（深圳），参与，2016.12-2017.12

1. 2020年北京市普通高校优秀本科毕业设计（论文）指导教师

2. 2019-2020学年kaiyun体育登录网页入口优秀本科生班主任

3. 2017年kaiyun体育登录网页入口第十届青年教师教学基本功比赛优秀奖

4. 2015年度北京大学“优秀博士后”