个人简介
朱丹丹，华东师范大学上海智能教育研究院副教授。2019年获得同济大学软件工程博士学位，2019年7月至2021年10月在上海交通大学从事博士后研究工作。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、自适应学习、类脑智能研究等。目前以第一作者身份已在国际知名期刊和顶级会议上发表论文40余篇，其中包括IEEE TIP、TMM、TCSVT、TETCI、TCDS、TGRS、ACM TOMM、KBS、CVPR、ICME、ACM MM等。作为项目负责人已主持4项纵向课题，包括国家自然科学基金面上项目、青年科学基金项目、中央高校专项资金自由探索项目等。已授权专利5项；担任国内外权威期刊和领域国际会议论文审稿人；荣获第二届广州.琶洲算法大赛优选赛—智能交通CV模型赛题冠军、第二届广州.琶洲算法大赛百强队伍。
工作经历
2022.11-至今 华东师范大学，计算机科学与技术学院，副教授
2021.11-2022.10 东华大学，计算机科学与技术学院，副教授
2019.7-2021.10 上海交通大学，人工智能研究院，博士后
社会兼职
担任Current Chinese Science、 Neurocomputing 和 Senors 等多个期刊的 Associate Editor
著名期刊和会议审稿人，期刊如IEEE TCSVT、TMM、TETCI、TII、TIF、TNNLS、TCDS等，会议如AAAI、ICCV、ICME、ICONIP等
荣誉及奖励
朱丹丹(1/3); 第二届广州.琶洲算法大赛算法优选赛—智能交通CV模型赛题季军, 中国人工智能学会，广州.琶洲算法大赛组委会,2023
朱丹丹(1/3); 第二届广州.琶洲算法大赛百强队伍, 中国人工智能学会，广州.琶洲算法大赛组委会,2023
近期论文
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部分代表性期刊论文
Dandan Zhu, Kaiwei Zhang, Nana Zhang, Qiangqiang Zhou, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang, “Unified Audio-visual Saliency Model for Omnidirectional Videos with Spatial Audio,” IEEE Transactions on Multimedia, (TMM). (中科院一区)
Dandan Zhu, Qiangqiang Zhou, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang, “A Novel Lightweight Audio-visual Saliency Model for Videos,”ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).(CCF-B）
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,” IEEE Transactions on Cognitive and Developmental Systems (TCDS). (中科院二区)
Dandan Zhu, Kun Zhu, Weiping Ding, et al. "MTCAM: A Novel Weakly-supervised Audio-visual Saliency Prediction Model with Multi-modal Transformer ”, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). (中科院二区)
Dandan Zhu, Kaiwei Zhang, et al. From Discrete Representation to Continuous Modeling: A Novel Audio-visual Saliency Prediction Model with Implicit Neural Representations，IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). (中科院二区)
Dandan Zhu, Kaiwei Zhang, et al. From Haziness to Clarity: A Novel Iterative Memory-Retrospective Emergence Model for Omnidirectional Image Saliency Prediction，IEEE Transactions on Image Processing (TIP). (中科院一区)
Dandan Zhu, Qiangqiang Zhou, Tian Han, Yongqing Chen, Defang Zhao, Xiaokang Yang, “Towards Multi-scale Features with Correlation Metric for Person Re-Identification,” Knowledge-Based Systems. (中科院一区）
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,” Neurocomputing. (中科院二区)
Dandan Zhu, Yongqing Chen, Defang Zhao, Qiangqiang Zhou, Xiaokang Yang,“Saliency Prediction on Omnidirectional Images with Attention-Aware Feature Fusion Network,” Applied Intelligence, 2021. (中科院二区)
Dandan Zhu, Kaiwei Zhang, Guokai Zhang, Qiangqiang Zhou, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang, “Decoupled dynamic group equivariant filter for saliency prediction on omnidirectional image,” Neurocomputing. (中科院二区).
Dandan Zhu, Xuan Shao, Kaiwei Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang, “ Audio-visual Saliency Model for Omnidirectional Video with Implicit Neural Representation Learning,” Applied Intelligence. (中科院二区)
Kaiwei Zhang, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, “Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 61, pp. 1-12, 2022. (中科院一区).
Kaiwei Zhang, Dandan Zhu, Xiongkuo Min, Zhongpai Gao, and Guangtao Zhai, “Synergetic Assessment of Quality and Aesthetic: Approach and Comprehensive Benchmark Dataset,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), (中科院一区).
Jun Jia, Zhongpai Gao, Dandan Zhu, Xiongkuo Min, Menghan Hu, Guangtao Zhai, “RIVIE: Robust Inherent Video Information Embedding,” IEEE Transactions on Multimedia (TMM), (中科院一区).
Defang Zhao, Dandan Zhu, Xiongkuo Min, et al. "Human Attention Based on Movie Summarization: Dataset and Baseline Model, Neurocomputing, (中科院二区).
部分代表性会议论文
Dandan Zhu, Tian Han, Linqi Zhou, Xiaokang Yang, Yingnian Wu, “Deep unsupervised clustering with clustered generator model,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral). (CCF-A )
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 )
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, Oral). (CCF-B)
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). (CCF-B)
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)
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), pp. 1-6. (CCF-B )
Jun Jia, Zhongpai Gao, Dandan Zhu, Xiongkuo Min, Guodong Guo, and Guangtao Zhai,“Learning invisible markers for hidden codes in offline-to-online photography, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A)
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