中科院计算所视觉信息处理与学习组

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论文发表
  • 1A hierarchical model based on latent dirichlet allocation for action recognition S Yang, C Yuan, W Hu, X Ding. International Conference on Pattern Recognition, 2014, 2613-2618.【pdf】
  • 2Human Action Recognition Based on Oriented Motion Salient Regions. B Wu, S Yang, C Yuan, W Hu, F Wang . Asian Conference on Computer Vision, 113-128, 2014.【pdf】
  • 3Jie Zhang, Meina Kan, Shiguang Shan, Xiaowe Zhao, and Xilin Chen. Topic-aware Deep Auto-encoders (TDA) for Face Alignment. Asian Conference on Computer Vision (ACCV), Nov. 2014.【pdf】
  • 4Jie Zhang, Shiguang Shan, Meina Kan, and Xilin Chen. Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment. Proceedings of the 13th European Conference on Computer Vision (ECCV), LNCS 8690, pp. 1–16, September 6-12, 2014, Zurich, Swiss.【pdf】
  • 5Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment . European Conference on Computer Vision (ECCV), Sep. 2014. [code]【pdf】
  • 6M. Kan, S. Shan, H. Chang, X. Chen. Stacked progressive auto-encoders (SPAE) for face recognition across poses. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2014.【pdf】
  • 7Meina Kan, Shiguang Shan, Hong Chang, Xilin Chen. Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2014. [code]【pdf】
  • 8Meina Kan, Shiguang Shan, Hong Chang, Xilin Chen. Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses. Proceedings of the IEEE Computer Society International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1883-1890, June 23-28, 2014, Columbus, Ohio.【pdf】
  • 9Mengyi Liu, Ruiping Wang, Shaoxin Li, Shiguang Shan, Zhiwu Huang, Xilin Chen. Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild, ACM International Conference on Multimodal Interaction (ICMI), pp. 494-501, 2014.【pdf】
  • 10Mengyi Liu, Shaoxin Li, Shiguang Shan, Ruiping Wang, Xilin Chen. Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis, Asian Conference on Computer Vision (ACCV), pp. 143-157, 2014.【pdf】
  • 11Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen. Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1749-1756, 2014.【pdf】
  • 12Mengyi Liu, Shiguang Shan, Ruiping Wang, Xilin Chen. Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition. Proceedings of the IEEE Computer Society International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1749-1756, June 23-28, 2014, Columbus, Ohio.【pdf】
  • 13Weiqing Min, Bing-Kun Bao, Changsheng Xu : Scene and Viewpoint Based Visual Summarization for Landmarks. ICIP 2014.【pdf】
  • 14Xing Yan, Hong Chang, Shiguang Shan, and Xilin Chen. Modeling Video Dynamics with Deep Dynencoder. Proceedings of the 13th European Conference on Computer Vision (ECCV), LNCS 8692, pp. 215–230, September 6-12, 2014, Zurich, Swiss.【pdf】
  • 15Zhen Cui, Hong Chang, Shiguang Shan, and Xilin Chen. Generalized Unsupervised Manifold Alignment. Proceedings of the Neural Information Processing Systems (NIPS), December 8-11, 2014, Montreal, Canada.【pdf】
  • 16Zhen Cui, Hong Chang, Shiguang Shan, Bineng Zhong, and Xilin Chen. Deep Network Cascade for Image Super-resolution. Proceedings of the 13th European Conference on Computer Vision (ECCV), LNCS 8693, pp. 49–64, September 6-12, 2014, Zurich, Swiss.【pdf】
  • 17Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xilin Chen. Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification. Proceedings of the IEEE Computer Society International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1677-1684, June 23-28, 2014, Columbus, Ohio.【pdf】
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