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周报 第 6 周 2015 年 04 月 12 日 汇报人:乔师师. 本月计划: 阅读以下文献: (1). Automatic cast listing in feature-length films with anisotropic manifold space,” in CVPR, 2006,.

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Presentation on theme: "周报 第 6 周 2015 年 04 月 12 日 汇报人:乔师师. 本月计划: 阅读以下文献: (1). Automatic cast listing in feature-length films with anisotropic manifold space,” in CVPR, 2006,."— Presentation transcript:

1 周报 第 6 周 2015 年 04 月 12 日 汇报人:乔师师

2 本月计划: 阅读以下文献: (1). Automatic cast listing in feature-length films with anisotropic manifold space,” in CVPR, 2006,. (2). Aristides Gionis, Piotr Indyk, and Rajeev Motwani. Similarity search in high dimensions via hashing. In VLDB, 1999. (3). A Compact and Discriminative Face Track DescriptorOmkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman. CVPR2014 (4). Mohammad Rastegari, Ali Farhadi, and David Forsyth. Attribute discovery via predictable discriminative binary codes. In ECCV,2012. (5). M. Everingham, J. Sivic, and A. Zisserman, “Hello! my name is...buffy–automatic naming of characters in tv video,” In BMVC,2006. (6). Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, and Henry Rowley. Face tracking and recognition with visual constraints in real-world videos. In CVPR, pages 1–8.IEEE, 2008 代码数据交接 继续进行李岩师兄 FG14 和 CVPR15 相关工作的交接

3 上周计划 阅读 (1).Aristides Gionis, Piotr Indyk, and Rajeev Motwani. Similarity search in high dimensions via hashing. In VLDB, 1999. (2). A Compact and Discriminative Face Track Descriptor.Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman. CVPR2014

4 上周计划执行情况 阅读完成 (1).Aristides Gionis, Piotr Indyk, and Rajeev Motwani. Similarity search in high dimensions via hashing. In VLDB, 1999. (这篇文章主要针对高位数据的近 似最近邻检索问题,提出使用随机映射的哈希函数族,把原始数据映射 到海明空间进行相似性匹配的方法)。 (2). A Compact and Discriminative Face Track Descriptor.Omkar M. Parkhi, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman. CVPR2014. (这篇文章 主要针对视频中人脸识别问题,提出使用基于 Fisher vector 的特征聚类描 述子的建模方法)。

5 本周计划 阅读: Constrained Clustering and Its Application to Face Clustering in Videos Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.


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