设为首页收藏本站

VALSE

VALSE 首页 活动通知 好文作者面授招 查看内容

20180704-19 汤思宇:Graph Decomposition for People Tracking and Pose Estimation . ...

2018-6-29 10:30| 发布者: 程一-计算所| 查看: 529| 评论: 0

摘要: 报告嘉宾:汤思宇(德国马克斯普朗克研究所)报告时间:2018年07月04日(星期三)晚上20:00(北京时间)报告题目:Graph Decomposition for People Tracking and Pose Estimation主持人:顾舒航(香港理工)报告人简 ...

报告嘉宾:汤思宇德国马克斯普朗克研究所

报告时间:2018年07月04日(星期三)晚上20:00(北京时间)

报告题目:Graph Decomposition for People Tracking and Pose Estimation

主持人:顾舒航(香港理工)


报告人简介:

Siyu Tang is a research group leader in the Department of Perceiving Systems at the Max Planck Institute for Intelligent Systems, Germany. 

She was a postdoctoral researcher at the Max Planck Institute for Intelligent Systems, advised by Michael Black. She finished her PhD (summa cum laude) at the Max Planck Institute for Informatics, under the supervision of Prof. Bernt Schiele. Before that, she received Master degree in Computer Science at RWTH Aachen University, advised by Prof. Bastian Leibe and Bachelor degree in the Computer Science and Technology Department at Zhejiang University, China. She was a research intern at the National Institute of Informatics, under the supervision of Prof. Helmut Prendinger. 

Her research concerns the intersection between computer vision and machine learning with a focus on holistic visual scene understanding. In particular, she is interested in analyzing and modeling people in our complex visual scenes.


个人主页:

https://ps.is.tuebingen.mpg.de/person/stang


报告摘要:

Understanding people in images and videos is a problem studied intensively in computer vision. While continuous progress has been made, occlusions, cluttered background, complex poses and large variety of appearance remain challenging, especially for crowded scenes. In this talk, I will explore the algorithms and tools that enable computer to interpret people's position, motion and articulated poses in complex visual scenes. More specifically, I will discuss an optimization problem whose feasible solutions relate one-to-one to the decompositions of a graph. I will highlight the applications of this problem in computer vision, which range from multi-person tracking to motion segmentation. I will also cover an extended optimization problem whose feasible solutions define the decomposition of a graph and the labeling of its nodes with the application on multi-person pose estimation.


参考文献:

[1] End-to-end Learning for Graph Decomposition. under submission. Multi-person Tracking with Lifted Multicut and Person Re-ID. CVPR 17. Articulated Multi-person Tracking in the Wild. CVPR 17.


18-19期VALSE在线学术报告参与方式:


长按或扫描下方二维码,关注”VALSE“微信公众号(valse_wechat),后台回复”19期“,获取直播地址。



特别鸣谢本次Webinar主要组织者:

VOOC责任委员:冯如意(中国地质大学

VODB协调理事:左旺孟(哈尔滨工业大学


活动参与方式:

1、VALSE Webinar活动依托在线直播平台进行,活动时讲者会上传PPT或共享屏幕,听众可以看到Slides,听到讲者的语音,并通过聊天功能与讲者交互;

2、为参加活动,请关注VALSE微信公众号:valse_wechat 或加入VALSE QQ群(目前A、B、C、D、E、F、G群已满,除讲者等嘉宾外,只能申请加入VALSE H群,群号:701662399);

*注:申请加入VALSE QQ群时需验证姓名、单位和身份,缺一不可。入群后,请实名,姓名身份单位。身份:学校及科研单位人员T;企业研发I;博士D;硕士M。

3、在活动开始前5分钟左右,讲者会开启直播,听众点击直播链接即可参加活动,支持安装Windows系统的电脑、MAC电脑、手机等设备;

4、活动过程中,请不要说无关话语,以免影响活动正常进行;

5、活动过程中,如出现听不到或看不到视频等问题,建议退出再重新进入,一般都能解决问题;

6、建议务必在速度较快的网络上参加活动,优先采用有线网络连接;

7、VALSE微信公众号会在每周一推送上一周Webinar报告的总结及视频(经讲者允许后),每周四发布下一周Webinar报告的通知及直播链接。


[slides]

最新评论

Archiver|手机版|小黑屋|Vision And Learning SEminar    

GMT+8, 2018-7-22 01:31 , Processed in 0.032269 second(s), 17 queries .

Powered by Discuz! X3.2

© 2001-2013 Comsenz Inc.

返回顶部