朱丹丹(東華大學計算機科學技術學院計算機套用系副教授)

朱丹丹，女，畢業於同濟大學，東華大學計算機科學技術學院計算機套用系副教授。

基本介紹

• 中文名：朱丹丹
• 性別：女

個人簡介

2019年4月獲得同濟大學軟體工程博士學位，2019年7月2021年10月於上海交通大學人工智慧研究院從事博士後研究。研究方向包括視覺注意力建模和感知信號處理、機器視覺與圖像理解、醫學圖像處理等。目前以第一作者和通訊作者身份已在國際知名期刊和國際重要會議上發表論文20餘篇，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 (計算機視覺領域頂級會議)、ICME、ICPR、ICIP等。作為項目負責人已主持3項縱向項目，包括國家自然科學基金青年基金項目、中央高校專項資金自由探索項目、人工智慧教育部重點實驗室開放課題。

研究方向

視覺注意力建模與感知信號處理

多模態信息融合

機器視覺與圖像理解

醫學圖像處理

講授課程

數據挖掘、數據可視化

主要論文

國際期刊：

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). (中科院一區, 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 . (中科院一區, 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). (中科院二區, 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). (中科院二區, 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. (中科院二區, 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. (中科院二區, 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. (中科院二區, 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)

國際會議：

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)

科研項目

1 國家自然科學基金青年基金項目：面向VR/AR場景的類腦視覺顯著性預測模型研究(62001289) 主持

2 中央高校專項資金自由探索項目：腦啟發式VR/AR場景的視覺顯著性預測研究 主持

3 人工智慧教育部重點實驗室開放課題 主持

4 國家自然科學基金面上項目：大數據流中低層與高層驚奇事件檢測的研究 參與

5 國家重大科研儀器研製項目 參與

6 上海交大與華為合作項目：虛擬數字人質量評測技術 參與

專利情況

1. 翟廣濤，楊小康，朱文瀚，閔雄闊，朱煜程，朱丹丹，一種超高清視頻質量評價方法及裝置，發明專利，專利號：ZL 202010172376.6, 授權日：2021.01.05，國家知識產權局

2. 楊小康，閔雄闊，翟廣濤，朱文瀚，朱煜程，朱丹丹，音視頻多媒體資料庫的構建及多媒體主觀質量評價方法，發明專利，專利號：ZL202010172382.1，授權日：2021.05.25，國家知識產權局

3. 楊小康，閔雄闊，翟廣濤，朱文瀚，朱煜程，朱丹丹，基於視聽聯合注意的視頻質量評價方法、系統及終端，發明專利，專利號：ZL202010172444.9，授權日：2021.06.29，國家知識產權局

4. 楊小康，朱丹丹，閔雄闊，朱煜程，朱文瀚，翟廣濤，排列注意力特徵的全景圖像顯著性預測方法、系統及終 端，申請號：202010171615.6，公開日：2020.08.04，國家知識產權局

5. 楊小康，朱丹丹，閔雄闊，朱文瀚，朱煜程，翟廣濤，基於注意力感知特徵的全景圖像顯著性預測方法及系統，申請號：202010171611.8，公開日：2020.08.14，國家知識產權局

社會任職

Current Chinese Science 副主編。