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20180124-3 罗烨:Modeling the Temporality of Visual Salilency and...

2018-1-18 15:46| 发布者: 程一-计算所| 查看: 1220| 评论: 0

摘要: 报告嘉宾:罗烨(同济大学)报告时间:2018年01月24日(星期三)晚上20:00(北京时间)报告题目:Modeling the Temporality of Visual Salilency and Its Application to Action Recognition主持人:吴金建(西安电 ...

报告嘉宾: 罗烨(同济大学

报告时间:2018年01月24日(星期三)晚上20:00(北京时间)

报告题目:Modeling the Temporality of Visual Salilency and Its Application to Action Recognition

主持人:吴金建(西安电子科技大学)


报告摘要:

In this presentation, we mainly introduce the following two parts. At first, we investigate the temporality aspect of saliency estimation. A principled method based on three levels of saliency has been proposed: the intra-trajectory level, the inter-trajectory level and the static level. Experimental results validate the concepts put forth in the paper, as well as characterizing the effects of time, and the contributions made by individual levels. At last, as an extension of our proposed video saliency, we elicit from a fundamental definition of action low-level attributes that can reveal agency and intentionality. These descriptors are mainly trajectory-based, measuring sudden changes, temporal synchrony, and repetitiveness. The direct result of these descriptors is called the actionness map and it can be used to localize actions in a way that is generic across action and agent types. Experimental results on various datasets show the advantages of our method on action detection and action recognition comparing with other state-of-the-art methods.


报告相关文献列表:

1. Ye Luo, Loong-Fah Cheong and Tran Lam An, “Actionness-assisted Recognition of Actions”, in International Conference on Computer Vision (ICCV) 2015, pp. 3244-3252.

2. Ye Luo, Loong-Fah Cheong and John-John Cabibihan, “Model the Temporality of Saliency”, Asian Conference on Computer Vision (ACCV) 2014, Vol. 9005, pp. 205-220. 

3. Ye Luo, Junsong Yuan, Ping Xue and Qi Tian, “Saliency Density Maximization for Efficient Visual Objects Discovery”, in IEEE Trans. on Circuits and System for Video Technology (TCSVT), Vol. 21, pp. 1822-1834, 2011. 


报告人简介:

罗烨博士现为同济大学软件学院助理教授。2010年在新加坡南洋理工大学取得博士学位,同年在新加坡国立大学进行博士后的研究工作。2016年7月份,加入同济大学。她以第一作者及通讯作者身份,发表国际期刊和国际会议20余篇。参与国家自然科学基金面上项目4项,参与新加坡科研类项目4项,承担中央高校基本科研业务费专项资助项目1项。2015年获得国际计算机视觉顶级会议ICCV 优秀青年研究者奖。承担Computer Vision and Image Understanding,the Visual Computer,Signal Processing: Image Communication,IEEE Signal Processing Letter,Neurocomputing,ICIP2017, ICME 2015, ICME 2014, ACCV 2010 等多个国际期刊和国际会议的审稿人。

讲者个人主页:

http://sse.tongji.edu.cn/Data/View/3143


特别鸣谢本次Webinar主要组织者:

VOOC责任委员:吴金建(西安电子科技大学)

VODB协调理事:王琦(西北工业大学)


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