报告嘉宾1:沈小勇(香港中文大学) 报告时间:2016年8月17日(星期三)晚20:00(北京时间) 报告题目:Automatic Portrait Segmentation and Matting 主持人:王乃岩(TuSimple) 报告摘要:In this talk, I will
introduce our fully automatic segmentation and matting methods for portrait
images. The method does not need any user interaction, which was however
essential in most previous approaches. In order to accomplish this goal, a new
end-to-end convolutional neural network (CNN) is proposed taking the input of a
portrait image. It outputs the segmentation or mating results. Our CNN
considers not only image semantic prediction but also pixel-level matte
optimization. In addition, a new portrait image dataset is constructed with our
labeled segmentation and matting ground truth. Our automatic method achieves
comparable segmentation and matting results with state-of-the-art methods that
require specified foreground and background regions or pixels. Many
applications are enabled given the automatic nature of our system. 参考文献: [1] Xiaoyong Shen, Aaron Hertzmann, Jiaya Jia, Sylvain Paris, Brian Price,
Eli Shechtman, Ian Sachs, "Automatic Portrait Segmentation for Image
Stylization"Computer Graphics Forum, 35(2), 2016 ( Proc. Eureographics
2016) . [2] Xiaoyong Shen, Xin Tao, Hongyun Gao, Chao Zhou, Jiaya Jia, "Deep
Automatic Portrait Matting" European Conference on Computer Vision (ECCV)
, 2016. (Spotlight Presentation)
报告人简介: Xiaoyong Shen received the PhD degree in Computer Science and Engineering
Department in the Chinese University of Hong Kong. His supervisor is Prof.
Jiaya Jia. Before that, He received the B. S. degree in Computational
Mathematics and M. S. degree in Applied Mathematics from Zhejiang University in
2010 and 2012 respectively, under the supervision of Prof. Ligang Liu. His
research interest includes computer vision and computer graphics, especially on
image filtering, image restoration, image matching, object detection and
segmentation. |
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