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电子科技大学计算机科学与工程学院导师教师师资介绍简介-沈复民

本站小编 Free考研考试/2021-09-13


姓名:沈复民 专业技术职务:教授
联系方式:
邮箱:fumin.shen@gmail.com
系别:计算机软件与理论系

联系方式 邮箱 fumin.shen@gmail.com
专业技术职务_详情页 教授
【个人背景】2003年-2007年:山东大学数学与应用数学专业本科学习
2007年-2014年:南京理工大学模式识别与智能系统(国家重点学科)专业博士研究生学习
2010年-2012年:澳大利亚阿德莱德大学计算机视觉(澳洲排名第一)专业联合培养博士
2014年-2016年:电子科技大学计算机科学与工程学院担任讲师,从事科研教学工作
2016年-2017年:电子科技大学计算机科学与工程学院担任副教授,从事科研教学工作
2017年-至今:电子科技大学计算机科学与工程学院担任“校百人”教授、博导
【研究方向】计算机视觉、图像检索、机器学习
讲授课程
本科:《计算机视觉与模式识别》
研究生:《高级计算机视觉》
【研究成果】研究项目:
1.面向自然语句查询的多模态数据检索研究,国家自然科学基金面上项目,2021.01-2024.12,主持;
2.视觉识别中的实用鲁棒回归技术研究,国家自然科学基金青年科学基金项目,2015.10-2018.12,主持;
3.多模态识别技术及其在智能安防领域的深度应用研究与示范,四川省科技厅重点研发项目,2019.01-2020.12,主持。
论文列表:
[1]Tian Wang, Xing Xu, Fumin Shen, Yang Yang. "A Cognitive Memory-Augmented Network for Visual Anomaly Detection". IEEE-CAA Journal of Automatica Sinica , 2021.
[2]Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen. "Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning". The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.
[3]Xunguang Wang, Zheng Zhang*, Baoyuan Wu, Fumin Shen, Guangming Lu. "Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[4]Tao Chen, Yazhou Yao*, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang. "Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[5]Zeren Sun, Yazhou Yao*, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang. "Jo-SRC: A Contrastive Approach for Combating Noisy Labels". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[6]Yiran Zhu, Xing Xu*, Fumin Shen, Yanli Ji, Lianli Gao and Heng Tao Shen. "PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation". International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[7]Jiao Li, Xing Xu*, Wei Yu, Fumin Shen, Zuo Cao, Kai Zuo and Heng Tao Shen. "Hybrid Fusion with Intra- and Cross-Modality Attention for Image-Recipe Retrieval". Special Interest Group on Information Retrieval (SIGIR), 2021.
[8]Yifeng Zhou, Xing Xu, Fumin Shen, Xiaofeng Zhu, Heng Tao Shen. "Flow-Edge Guided Unsupervised Video Object Segmentation". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
[9]Zheng Zhang, Luyao Liu, Yadan Luo, Zi Huang, Fumin Shen, Heng Tao Shen, Guangming Lu*. "Inductive Structure Consistent Hashing via Flexible Semantic Calibration". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
[10]Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen. "MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning". IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
[11]Xing Xu, Tan Wang, Yang Yang, Lin Zuo, Fumin Shen and Heng Tao Shen*. "Cross-Modal Attention with Semantic Consistence for Image-Text Matching". IEEE Transactions on Neural Networks and Learning Systems , 2020.
[12]Yifeng Zhou, Xing Xu*, Fumin Shen, Lianli Gao, Huimin Lu, Heng Tao Shen. "Temporal Denoising Mask Synthesis Network for Learning Blind Video Temporal Consistency". ACM International Conference on Multimedia (ACM MM), 2020.
[13]Yuming Shen, Jie Qin*, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen and Ling Shao. "Auto-Encoding Twin-Bottleneck Hashing". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[14]Xing Xu, Jiefu Chen, Jinhui Xiao, Lianli Gao, Fumin Shen and Heng Tao Shen*. "What Machines See Is Not What They Get: Fooling Scene Text Recognition Models with Adversarial Text Images". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[15]Diwen Wan, Fumin Shen*, Li Liu, Fan Zhu, Lei Huang, MengyangYu, Heng Tao Shen, Ling Shao. "Deep Quantization Generative Networks". Pattern Recognition (PR), 2020.
[16]Yanli Ji,Yang Yang,Fumin Shen,Heng Tao Shen,Xuelong Li. "A Survey of Human Action Analysis in HRI Applications". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
[17]Yanli Ji, Yang Yang, Fumin Shen, Heng Tao Shen* and Wei-Shi Zheng. "Arbitrary-view Human Action Recognition: A Varying-view RGB-D Action Dataset". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
[18]Yanli Ji, Yue Zhan, Yang Yang, Xing Xu, Fumin Shen, and Heng Tao Shen*. "A Context Knowledge Map Guided Coarse-to-fine Action Recognition". IEEE Transactions on Image Processing (TIP), 2020.
[19]Jingran Zhang, Fumin Shen*, Xing Xu, Heng Tao Shen. "Temporal Reasoning Graph for Activity Recognition". IEEE Transactions on Image Processing (TIP), 2020.
[20]Heng Tao Shen, Luchen Liu, Zi Huang, Xing Xu, Fumin Shen, Richang Hong, Yang Yang*. "Exploiting Subspace Relation in Semantic Labels for Cross-modal Hashing". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
[21]Shiyuan He, Bokun Wang, Zheng Wang, Yang Yang*, Fumin Shen, Zi Huang, and Heng Tao Shen. "Bidirectional Discrete Matrix Factorization Hashing for Image Search". IEEE Transactions on Cybernetic , 2019.
[22]Yazhou Yao, Fumin Shen, Jian Zhang*, Li Liu, Zhenmin Tang and Ling Shao. "Extracting Multiple Visual Senses for Web Learning". IEEE Trans. Multimedia , 2019.
[23]Qidi Xu, Haocheng Xu, Weilong Chen, Chaojun Han, Haoyang Li, Fumin Shen*, Heng Tao Shen. "Time-aware Session Embedding for Click-Through-Rate Prediction". ACM International Conference on Multimedia , 2019.
[24]Xing Xu, Xiang Zhou, Fumin Shen, Lianli Gao, Heng Tao Shen*, Xuelong Li. "Fusion by Synthesizing: A Multi-View Deep Neural Network for Zero-Shot Recognition". SIGNAL PROCESSING , 2019.
[25]Yanli Ji, Yuhan Hu, Fumin Shen, Heng Tao Shen*. "Cross-database Facial Expression Recognition via an Intra-category Common Feature and Inter-category Distinguishing Feature Fusion Network". Neurocomputing , 2019.
[26]Jingyi Zhang, Zhen Wei, Ionut Cosmin Duta, Fumin Shen*, Li Liu, Fan Zhu, Xing Xu, Ling Shao and Heng Tao Shen. "Generative Reconstructive Hashing for Incomplete Video Analysis". ACM Multimedia (ACM MM), 2019.
[27]Jiaxin Chen, Jie Qin*, Li Liu, Fan Zhu, Fumin Shen, Jin Xie and Ling Shao. "Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[28]Zhen Wei, Jingyi Zhang, Li Liu, Fan Zhu, Fumin Shen*, Yao Sun, Si Liu, Yi Zhou and Ling Shao. "Building Detail-Sensitive Semantic Segmentation Networks with Polynomial Pooling". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[29]Yan Xu, Baoyuan Wu*, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen and Wei Liu*. "Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[30]Yazhou Yao, Zeren Sun, Fumin Shen*, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu and Ling Shao. "Dynamically Visual Disambiguation of Keyword-based Image Search". International Joint Conference on Artificial Intelligence (IJCAI), 2019.
[31]Hanxi Li, Xinyu Wang, Fumin Shen*, Yi Li, Fatih Porikli and Mingwen Wang. "Real-Time Deep Tracking via Corrective Domain Adaptation". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019.
[32]Yazhou Yao, Fumin Shen*, Jian Zhang, Li Liu, Zhenmin Tang and Ling Shao. "Extracting Privileged Information for Enhancing Classifier Learning". IEEE Trans. Image Processing (TIP), 2019.
[33]Fumin Shen, Xiang Zhou, Jun Yu, Yang Yang, Li Liu, Heng Tao Shen*. "Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings". IEEE Trans. Image Processing (TIP), 2019.
[34]Mengqiu Hu, Yang Yang*, Fumin Shen, Ning Xie, Richang Hong, Heng Tao Shen. "Collective Reconstructive Embeddings for Cross-modal Hashing". IEEE Transactions on Image Processing (TIP), 2019.
[35]Yazhou Yao, Jian Zhang, Fumin Shen*, Li Liu, Fan Zhu, Dongxiang Zhang and Heng Tao Shen. "Towards Automatic Construction of Diverse, High-quality Image Datasets". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
[36]Xiang Zhou, Fumin Shen*, Li Liu, Wei Liu, Liqiang Nie, Yang Yang and Heng Tao Shen. "Graph Convolutional Network Hashing". IEEE Transactions on Cybernetics (TOC), 2019.
更多详见:http://cfm.uestc.edu.cn/~fshen/


研究成果获奖:
2019年:ACM MM 2019 Grand Challenge Winner First Place
2017年:ACM SIGIR 2017 Best Paper Award Honorable Mention
2017年:IEEE ICME 2017 Best Paper Award(Platinum Award)
2017年:IEEE ICME 2017 Best Paper Award(Finalist)
2016年:ACM SIGIR 2017 Best Paper Award Honorable Mention



社会兼职及荣誉
1.教育部青年****
2.任职Elsevier Neurocomputing、Pattern Recognition Letters等SCI期刊客座编委3.担任MMM 2016、ICIMCS 2016的special session chair
4.担任ICCV、ACM Multimedia,ICMR, ICPR, CCBR等国际会议的PC member
5.担任IEEE TIP, TKDE, TMM, TNNLS, TCSVT等多个国际一流期刊的审稿人

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