中科院计算所视觉信息处理与学习组
中科院计算所视觉信息处理与学习组


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论文发表
  • 1Hu Han, Jie Li, Anil Jain, Shiguang Shan, Xilin Chen, "Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 41, no. 10, pp. 2333-2348, Oct. 1, 2019.【pdf】
  • 2Shuqiang Jiang, Weiqing Min, Shuhuan Mei, "Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction," IEEE Transactions on Multimedia, 21(6): 1609–1619, 2019.【pdf】
  • 3Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao, "From Social to Individuals:a Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation," IEEE Transactions on Pattern  Analysis and Machine Intelligence,vol. 41, no. 4, pp. 844-856, Apr. 2019.【pdf】
  • 4Weiqing Min,Shuqiang Jiang, Linhu Liu,Yong Rui and Ramesh Jain, "A Survey on Food Computing," ACM Computing Surveys (CSUR), 52(2): 92:1–92:36, 2019【pdf】
  • 5Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, and Shuqiang Jiang, "Multi-Task Deep Relative Attribute Learning for Visual Urban Perception," IEEE Trans. on Image Processing, 29(1): 657-669, 2019【pdf】
  • 6Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo, "Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition," IEEE Trans. on Image Processing, 29(1): 265-276, 2019.【pdf】
  • 7Chengpeng Chen, Weiqing Min, Xue Li, Shuqiang Jiang, "Hybrid incremental learning of new data and new classes for hand-held object recognition," Journal of Visual Communication and Image Representation(JVCI), 58: 138-148, 2019【pdf】
  • 8Shuhuan Mei, Weiqing Min, Hua Duan, Shuqiang Jiang, "Instance-level object retrieval via deep region CNN," Multimedia Tools and Applications (MTAP), 78(10): 13247-13261, 2019.【pdf】
  • 9Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen, "Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework," IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 41(7):1747 - 1760, 2019.【pdf】

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