高远、刘梦源同学投稿论文被ICIP

  高远同学投稿的论文“Smile Detection in Unconstrained Scenarios Using Self-Similarity of Gradients Features ”及“Gender Identification in Unconstrained Scenarios Using Self-Similarity of Gradients Features”，刘梦源同学投稿论文“Action Classification by Exploring Directional Co-occurrence of Weighted STIPS”被IEEE ICIP 2014国际会议录用。
  IEEE ICIP国际会议为图像处理领域顶级会议，我实验室已经连续多年在该会议上发表论文。

高 远：2012级硕士
研究方向：面部表情分析
投稿论文：Smile Detection in Unconstrained Scenarios Using Self-Similarity of Gradients Features
投稿论文：Gender Identification in Unconstrained Scenarios Using Self-Similarity of Gradients Features
投稿会议：2014 IEEE International Conference on Image Processing

刘梦源：2012级博士
研究方向：人体运动分析
投稿论文：Action Classification by Exploring Directional Co-occurrence of Weighted STIPS
投稿会议：2014 IEEE International Conference on Image Processing