朱丹丹
女 副教授 硕士生导师 计算机应用技术系
个人简介
2019年4月获得同济大学软件工程博士学位，2019年7月2021年10月于上海交通大学人工智能研究院从事博士后研究。研究方向包括视觉注意力建模和感知信号处理、机器视觉与图像理解、医学图像处理等。目前以第一作者和通讯作者身份已在国际知名期刊和国际重要会议上发表论文20余篇，其中包括IEEE TCSVT (IF: 4.685)、TCDS (IF: 3.379)、Knowledge-based Systems (IF: 8.038)、Neurocomputing (IF:5.719)、Applied Intelligence (IF: 5.086)、JVCIR (IF: 2.678)、CVPR (计算机视觉领域顶级会议)、ICME、ICPR、ICIP等。作为项目负责人已主持3项纵向项目，包括国家自然科学基金青年基金项目、中央高校专项资金自由探索项目、人工智能教育部重点实验室开放课题。
主要研究方向
视觉注意力建模与感知信号处理
多模态信息融合
机器视觉与图像理解
讲授课程
数据挖掘、数据可视化
主要论文研究成果
国际期刊：
1. Dandan Zhu, Qiangqiang Zhou, Tian Han, Yongqing Chen, Defang Zhao, Xiaokang Yang, Towards Multi-scale Features Learning with Correlation Metric for Person Re-Identification. In Knowledge-Based Systems (2020). (中科院一区, IF: 8.038)
2. Dandan Zhu, Xiongkuo Min, Qiangqiang Zhou, Guangtao Zhai, Xiaokang Yang, LAVS: A Lightweight Audio-visual Saliency Prediction Model. In Transactions on Circuits and Systems for Video Technology . (中科院一区, IF: 4.685)
3. Dandan Zhu, Yongqing Chen, Xiongkuo Min, Yucheng Zhu, Guokai Zhang, Qiangqiang Zhou, Guangtao Zhai, Xiaokang Yang, RANSP: Ranking Attention Network for Saliency Prediction on Omnidirectional Images. In Neurocomputing (2021). (中科院二区, IF:5.719)
4. Dandan Zhu, Yongqing Chen, Defang Zhao, Yucheng Zhu, Qiangqiang Zhou, Guangtao Zhai, Xiaokang Yang, Multiscale Brain-Like Neural Network for Saliency Prediction on Omnidirectional Images. In IEEE Transactions on Cognitive and Developmental Systems (2021). (中科院二区, IF:3.379)
5. Dandan Zhu, Yongqing Chen, Defang Zhao, Qiangqiang Zhou, Xiaokang Yang, Saliency Prediction on Omnidirectional Images with Attention-Aware Feature Fusion Network, in Applied Intelligence. (中科院二区, IF:5.719)
6. Dandan Zhu, Yongqing Chen, Xuan Shao, Xiongkuo Min, Qiangqiang Zhou, Xiaokang Yang, A Brain-Like Neural Network for Predicting Head Fixations on Omnidirectional Images, in Neurocomputing. (中科院二区, IF:5.086)
7. Defang Zhao, Chao Ma, Dandan Zhu* , Jia Shuai Jianwei Lu, Learning Bi-Grained Cross-Correlation Siamese Networks for Visual Tracking, in Applied Intelligence. (中科院二区, IF: 5.086)
7. Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Jianwei Lu, Salient Object Detection via a Local and Global Method based on Deep Residual Network, in Journal of Visual Communication and Image Representation (JVCI), Vol. 54, pp. 1-9, 2018. (CCF-C, IF: 2.678)
8. Dandan Zhu, Lei Dai, Xuan Shao, Qiangqiang Zhou, Laurent Itti, Ye Luo, Jianwei Lu, Image Salient Object Detection with Refined Deep Features via Convolution Neural Network, J. Electron Imaging 26(6), 063018 (2017), doi: 10.1117/.JEI.26.6.063018. (SCI)
9. Dandan Zhu, Lei Dai, Ye Luo, Guokai Zhang, Xuan Shao, Laurent Itti, Jianwei Lu*, "MultiScale Adversarial Feature Learning for Saliency Detection," Symmetry 2018, 10(10), 457. (SCI)
国际会议：
1. Dandan Zhu, Tian Han, Linqi Zhou, Guangtao Zhai, Xiaokang Yang, Yingnian Wu, Deep Unsupervised Clustering with Clustered Generator Model. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . (CCF-A, Oral)
2.Dandan Zhu, Yongqing Chen, Defang Zhao, Xiongkuo Min, Qiangqiang Zhou, Shaobo Yu, Guangtao Zhai, Xiaokang Yang, A Lightweight Saliency Prediction Model for Omnidirectional Images. In 2021 IEEE International Conference on Multimedia and Expo (ICME). (CCF-B, Oral)
3. Dandan Zhu, Defang Zhao, Xiongkuo Min, Tian Han, Qiangqiang Zhou, Shaobo Yu, Yongqing Chen, Guangtao Zhai, Xiaokang Yang, LAVS: A Lightweight Audio-visual Saliency Prediction Model. In 2021 IEEE International Conference on Multimedia and Expo (ICME). (CCF-B)
4. Dandan Zhu, Yongqing Chen, Tian Han, Yucheng Zhu, Qiangqiang Zhou, Guangtao Zhai, Xiaokang Yang, Ransp: Ranking Attention Network for Saliency Prediction On Omnidirectional Images. In 2020 IEEE International Conference on Multimedia and Expo (ICME) (pp.1-6). (CCF-B)
5. Defang Zhao*, Dandan Zhu*, Xiongkuo Min, Kaiwei Zhang, Qiangqiang Zhou, Guangtao Zhai , Xiaokang Yang, Human Attention Based Movie Summarization: Dataset and Baseline Model. In 2022 IEEE International Conference on Multimedia and Expo (ICME). (CCF-B)
7. Kaiwei Zhang, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution. In 2022 IEEE International Conference on Multimedia and Expo (ICME). (CCF-B)
8. Dandan Zhu, Yongqing Chen, Xiongkuo Min, Defang Zhao, Yucheng Zhu, Qiangqiang Zhou, Guangtao Zhai, Xiaokang Yang, Saliency Prediction on Omnidirectional Images with Brain-Like Shallow Neural Network. In 25th International Conference on Pattern Recognition, 2020. (CCF-C)
9. Dandan Zhu, Ye Luo, Xuan Shao, Laurent Itti, Jianwei Lu, Saliency Prediction Based on New Deep Multi-layer Convolution Neural Network. In 2018 IEEE International Conference on Image Processing (ICIP) , pp. 2711-2715. (CCF-C)
10. Dandan Zhu, Ye Luo, Lei Dai, Xuan Shao, Laurent Itti, Jianwei Lu. Deep Salient Object Detection via Hierarchical Network Learning. In: International Conference on Neural Information Processing (ICONIP), 2017. (CCF-C)
近期主持或参与科研项目情况
1 国家自然科学基金青年基金项目：面向VR/AR场景的类脑视觉显著性预测模型研究(62001289) 主持
2 中央高校专项资金自由探索项目：脑启发式VR/AR场景的视觉显著性预测研究 主持
3 人工智能教育部重点实验室开放课题 主持
4 国家自然科学基金面上项目：大数据流中低层与高层惊奇事件检测的研究 参与
5 国家重大科研仪器研制项目 参与
6 上海交大与华为合作项目：虚拟数字人质量评测技术 参与
近几年专利情况
1. 翟广涛，杨小康，朱文瀚，闵雄阔，朱煜程，朱丹丹，一种超高清视频质量评价方法及装置，发明专利，专利号：ZL 202010172376.6, 授权日：2021.01.05，国家知识产权局
2. 杨小康，闵雄阔，翟广涛，朱文瀚，朱煜程，朱丹丹，音视频多媒体数据库的构建及多媒体主观质量评价方法，发明专利，专利号：ZL202010172382.1，授权日：2021.05.25，国家知识产权局
3. 杨小康，闵雄阔，翟广涛，朱文瀚，朱煜程，朱丹丹，基于视听联合注意的视频质量评价方法、系统及终端，发明专利，专利号：ZL202010172444.9，授权日：2021.06.29，国家知识产权局
4. 杨小康，朱丹丹，闵雄阔，朱煜程，朱文瀚，翟广涛，排列注意力特征的全景图像显著性预测方法、系统及终 端，申请号：202010171615.6，公开日：2020.08.04，国家知识产权局
5. 杨小康，朱丹丹，闵雄阔，朱文瀚，朱煜程，翟广涛，基于注意力感知特征的全景图像显著性预测方法及系统，申请号：202010171611.8，公开日：2020.08.14，国家知识产权局
主要社会任职
Current Chinese Science 副主编
联系方式：
电子邮箱：ddzhu@dhu.edu.cn
地址：1号学院楼253室
邮政编码：201620