首页   ·   人员   ·   固定科研人员   ·   教授与研究员   ·   正文
  • 简要介绍:薛向阳,复旦大学教授,类脑人工智能科学与技术研究院副院长,大数据研究院副院长。研究方向为计算机视觉、多媒体信息处理、类脑智能系统等,在知名期刊(如IEEE TPAMI、TIP)和顶级会议(如CVPR、ICCV、NeurIPS、ICML、ACM MM等)上发表论文百余篇,获国际期刊IEEE TMM 2016与国际会议ICME 2017论文奖。据 Google Scholar 统计,论文总被引用逾12000次。作为第一完成人及主要完成人,获国家科技进步一等奖1项和二等奖1项、省部级科学技术一等奖5项。曾入选上海市启明星计划和学术带头人计划。他是中国计算机学会杰出会员,IEEE/ACM会员,担任上海市图像图形学会副理事长、上海市人工智能学会副理事长、IEEE上海分会副主席、中国图像图形学学会常务理事及情感计算与理解专委会副主任。
  • 代表成果:

    1)Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Hang Yu, Wei Liu, Xiangyang Xue, Yu-Gang Jiang, Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation. IEEE Trans. Pattern Analysis Machine Intelligence, 43(10): 3600-3613 (2021)


    2)Xuelin Qian, Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification. IEEE Trans. Pattern Analysis Machine Intelligence, 42(2): 371-385 (2020)


    3)Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue, Object Detection from Scratch with Deep Supervision. IEEE Trans. Pattern Analysis Machine Intelligence, 42(2): 398-412 (2020)


    4)Yanwei Fu, Xiaomei Wang, Hanze Dong, Yu-Gang Jiang, Meng Wang, Xiangyang Xue, Leonid Sigal, Vocabulary-Informed Zero-Shot and Open-Set Learning. IEEE Trans. Pattern Analysis Machine Intelligence42(12): 3136-3152 (2020)


    5)Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang, Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. IEEE Trans. Pattern Analysis Machine Intelligence, 40(2): 352-364 (2018)


    6)Ning Zhou, William K. Cheung, Guoping Qiu, Xiangyang Xue, A Hybrid Probabilistic Model for Unified Collaborative and Content-Based Image Tagging. IEEE Trans. Pattern Analysis Machine Intelligence, 33(7): 1281-1294 (2011)