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20200710-18 如何写/审AI领域的论文

2020-7-2 23:24| 发布者: 程一-计算所| 查看: 963| 评论: 0

摘要: 报告时间:2020年07月10日(星期五)上午9:30-11:30(北京时间)主题:如何写/审AI领域的论文主持人:山世光(中科院计算所)、欧阳万里(悉尼大学)报告嘉宾:罗杰波(美国罗切斯特大学)报告题目:如何做好一个AI领 ...

报告时间:2020年07月10日(星期五)上午9:30-11:30(北京时间)

主题:如何写/审AI领域的论文 

主持人:山世光(中科院计算所)、欧阳万里(悉尼大学)


报告嘉宾:罗杰波 (美国罗切斯特大学) 

报告题目:如何做好一个AI领域审稿人 


报告嘉宾:Ming-Hsuan Yang(美国加州大学Merced分校) 

报告题目:How to Get Your CVPR Paper Rejected? 


Panel议题:

1. 中国学生写论文最容易犯的毛病有哪些?  

2. 做科研和写论文的关系是什么?为什么要写论文? 

3. 在当前倡导破四唯的导向下,写论文不重要了吗? 

4. 在论文日益泛滥、企业算力和数据碾压高校/科研机构的情况下,高校/科研机构该做出怎样的调整? 

5. 实验结果、新颖性、文章写作,哪些更重要? 

6. 如何评审无懈可击却无多大新颖性的论文?如何评审有很大新颖性却有明显缺点的文章? 


Panel嘉宾:

杨明玄Ming-Hsuan Yang(美国加州大学Merced分校)、梅涛(JD.COM)、张磊(微软公司美国)、李宏东(澳大利亚国立大学)、山世光(中科院计算所)、欧阳万里(悉尼大学)


*欢迎大家在下方留言提出主题相关问题,主持人和panel嘉宾会从中选择若干热度高的问题加入panel议题!



报告嘉宾::罗杰波 (美国罗彻斯特大学)

报告时间:2020年07月10日(星期五)上午9:30(北京时间)

报告题目:如何做好一个AI领域审稿人 


报告人简介:

罗杰波教授目前就职于美国罗彻斯特大学(University of Rochester, USA)计算机科学系,是ACM,AAAI,IEEE、SPIE和IAPR等国际著名学会会士(Fellow)。研究涉及图像处理、计算机视觉、机器学习、数据挖掘、社交媒体、数字医疗、城市计算等多个前沿领域。罗杰波教授曾于”柯达实验室“从事研究长达十五年,并担任该实验室首席科学家。罗杰波教授是多媒体领域顶级期刊IEEE Transactions on Multimedia (T-MM)的现任主编(Editor-in-Chief),国际顶级会议ACM Multimedia 2010/2018,CVPR 2012等大会共同主席/程序主席,并(曾)担任IEEE T-PAMI, IEEE T-MM, IEEE T-CSVT, IEEE T-BD, ACM T-IST, Pattern Recognition等国际顶尖学术期刊副编辑。罗杰波教授发表逾400篇学术论文,持有90余项美国专利。近年来,罗杰波教授在社交多媒体研究及其社会应用中做出了开创性贡献。


个人主页:

https://www.cs.rochester.edu/u/jluo/ 


报告摘要:

随着人工智能相关领域的飞速发展,学术会议和期刊规模日益扩大。近年来应运而生了大量新的顶级会议期刊的审稿人。如何做好一个合格的审稿人,对学科领域发展作出贡献? 我们将分享一些经验和建议。



报告嘉宾:Ming-Hsuan Yang(美国加州大学Merced分校)

报告时间:2020年07月10日(星期五)上午10:00(北京时间) 

报告题目: How to Get Your CVPR Paper Rejected?


报告人简介:

Ming-Hsuan Yang is a Professor in Electrical Engineering and Computer Science at University of California at Merced, and a senior staff research scientist at Google. He received the PhD degree in Computer Science from the University of Illinois at Urbana-Champaign in 2000. He serves as a program co-chair for IEEE International Conference on Computer Vision (ICCV) in 2019 as well as Asian Conference on Computer Vision (ACCV) in 2014, and a general co-chair for ACCV in 2016. He serves as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (2007 to 2011), International Journal of Computer Vision, Computer Vision (IJCV), Computer Vision and Image Understanding (CVIU), Image Understanding, Image and Vision Computing (IVC), and Journal of Artificial Intelligence Research (JAIR). He received numerous paper awards from CVPR, ACCV, and UIST. Yang received Google faculty award in 2009, and NSF CAREER award in 2012.  He received paper awards in CVPR, ACCV and UIST. He is a Fellow of IEEE. 


个人主页:

https://faculty.ucmerced.edu/mhyang/ 


报告摘要:

In this talk, I will share my experience in how to publish papers in top conferences and journals. In particular, I will discuss the pitfalls and common mistakes of submitted papers from the perspectives of program chair, area chair and associate editor. 



Panel嘉宾:梅涛 (JD.COM) 


嘉宾简介:

Tao Mei is a Technical Vice President with JD.COM and the Deputy Managing Director of JD AI Research. His team is focusing on the research, development, innovation and commercialization of computer vision and multimedia technologies. He also led the effort on machine learning open platform. Prior to joining JD.COM in 2018, he was a Senior Research Manager with Microsoft Research Asia in Beijing, China, where he has shipped over 20 inventions and technologies to Microsoft products and services.  

 Tao has authored or co-authored over 200 publications (with 12 best paper awards) in journals and conferences, and holds over 50 US and international patents. He was elected as a Fellow of IEEE, a Fellow of IAPR, a Distinguished Scientist of ACM, and a Distinguished Industry Speaker of IEEE Signal Processing Society, for his contributions to large-scale multimedia analysis and applications. 


个人主页:

https://taomei.me/ 



Panel嘉宾:张磊(微软公司美国)


嘉宾简介:

Lei Zhang is a principal researcher and research manager of the computer vision research group in Microsoft Cloud & AI. Prior to this, he has worked with Microsoft Research Asia for 12 years as a senior researcher, leading a research team working on visual recognition, image analysis, and large-scale data mining. His years of work on large-scale, search-based image annotation has generated many practical impacts in multimedia search, including a highly scalable solution of duplicate image clustering for billions of images. From 2013 to 2015, he moved to Bing Multimedia Search as a principal development manager, helping develop cutting-edge solutions for web-scale image analysis and recognition problems, including image caption generation and high precision image entity linking. Lei is an IEEE Fellow and a senior ACM member, and has served as editorial board members for IEEE T-MM, T-CSVT, and Multimedia System Journal, as program co-chairs, area chairs, or committee members for many top conferences. He is the author or co-author of 150+ published papers in fields such as multimedia, computer vision, web search and information retrieval, and holds 50+ U.S. patents for his innovation in these fields. 


个人主页:

https://www.microsoft.com/en-us/research/people/leizhang/ 



Panel嘉宾:李宏东(澳大利亚国立大学)


嘉宾简介:

Professor Hongdong Li has been with the College of Engineering and Computer Science, the Australian National University (ANU). He joined the ANU Research School of Information Sciences and Engineering (RSISE) from 2004 first as a Postdoctoral Fellow and then Research Fellow and a Senior Fellow. He was seconded to National ICT Australia (NICTA) as a Senior Research Scientist during 2008-2010 working on the Australia Bionic Eye Project. From 2010 he took a tenured position with ANU, doing teaching and research in computer vision and robotics at ANU. He as one of the fouding CIs joined the ACRV since 2014. During 2017—2018 he was a Visiting Professor with the Robotics Institute at Carnegie Mellon University (CMU), Pittsburgh. 

Hongdong’s primary reserch interests are in 3D Computer Vision, Multi-view geometry, camera pose and optimal 3D registration, deep learning and autonomous driving. His research address fundamental problems in 3D reconstruction of dynamic non-rigid environments. He serves on the Editorial Boards for leading journals in computer vision and artificial intelligence, such as the Associate Editor for IEEE T-PAMI (Transactions on Pattern Analysis and Machine Intelligence), Guest Editor for IJCV (International journal of computer vision), editor for IVC (Image and Vision Computing), IET-Computer Vision, and IPSJ CVA (Computer Vision and Application). He serve regularly as Area Chair and Session Chair for recent year IEEE CVPR, ICCV, and ECCV etc. top and premier conferences in computer vision. He was the Co-Program Chair for Australasian Conference on Robotics and Automation (ACRA) in 2015 and DICTA 2017, as well as a co-Program Chair for ACCV-2018 “Asian Conference on Computer Vision” in 2018, and a Co Chair for ACCV 2022 conference to be held in Macau. His recent works focus on learning in 3D perception and vision based spatial-awareness computation, and efficient and robust robot navigation in unfamiliar environments. 

Jointly with his students and co-workers he won a number of most prestigious awards in computer vision, including the “David Marr Prize- Honourable mention” in 2017, the IEEE CVPR Best Paper Award in 2012, and IEEE ICIP Best Student Paper Prize in 2014, and IEEE ICPR Best student Paper in 2010. Both Marr Prize and CVPR Best Paper Award are highly regarded awards in international computer vision community. A list of previous-year Marr Prize (including Honorable Mention) winners can be found on the IEEE website. So far, he has published over 150 peer-reviewed papers in major venues. He has supervised/co-supervised/graduated 20+ PhD students in the area of computer vision. His research projects have been funded by Australia Research Council, CSIRO, as well as by global technical firms including Microsoft Research, General Motors, Toshiba, Baidu AI, and Ford Motors, etc. 


个人主页:

http://users.cecs.anu.edu.au/~hongdong/ 


主持人:山世光(中科院计算所)


主持人简介:

山世光,中科院计算所研究员、博导,现任中科院智能信息处理重点实验室常务副主任。他是基金委优青,万人计划入选者,CCF青年科学家奖获得者,首届腾讯科学探索奖获得者。他的研究领域为计算机视觉、模式识别和机器学习。已在国内外刊物和学术会议上发表论文300余篇,其中CCF A类论文80余篇,论文被谷歌学术引用19000余次(H-index为69)。曾应邀担任过CVPR19/20/21, ICCV11, ACCV12/16/18,ICPR12/14/20,FG13/18/20,BTAS18等十余次领域主流国际会议的领域主席,现/曾任IEEE TIP, CVIU, PRL, Neurocomputing, FCS等国际学术刊物的编委(AE)。研究成果获2005年度国家科技进步二等奖,2015年度国家自然科学二等奖  。 


个人主页:

 http://vipl.ict.ac.cn/people/~sgshan 


主持人:欧阳万里(悉尼大学


主持人简介:

欧阳万里于香港中文大学电子工程系获得博士学位。悉尼大学高级讲师。ICCV最佳审稿人,IJCV客座编辑(Guest Editor),IEEE高级会员,ICCV2019展示主席。担任TPAMI, IJCV, TOG, TIP, CVPR, ICCV, SIGGRAPH等期刊/会议的审稿人,论文被谷歌学术引用12000余次,H-index 53。研究方向包括计算机视觉,模式识别,深度学习,图像处理等。主要从事基于深度学习结构设计,物体检测与跟踪,以及与人相关的问题的课题研究。 


个人主页:

https://wlouyang.github.io/ 


20-18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“18期”,获取直播地址。



特别鸣谢本次Webinar主要组织者:

主办AC:山世光(中科院计算所)、欧阳万里(悉尼大学) 


VALSE Webinar改版说明:

自2019年1月起,VALSE Webinar改革活动形式,由过去每次一个讲者的方式改为两种可能的形式:

1)Webinar专题研讨:每次活动有一个研讨主题,先邀请两位主题相关的优秀讲者做专题报告(每人30分钟),随后邀请额外的2~3位嘉宾共同就研讨主题进行讨论(30分钟)。

2)Webinar特邀报告:每次活动邀请一位资深专家主讲,就其在自己熟悉领域的科研工作进行系统深入的介绍,报告时间50分钟,主持人与主讲人互动10分钟,自由问答10分钟。


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;

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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;

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7、VALSE微信公众号会在每周四发布下一周Webinar报告的通知及直播链接。

8、Webinar报告的PPT(经讲者允许后),会在VALSE官网每期报告通知的最下方更新[slides]

9、Webinar报告的视频(经讲者允许后),会更新在VALSE爱奇艺、B站、西瓜视频,请在搜索Valse Webinar进行观看。


罗杰波 [slides]

Ming-Hsuan Yang [slides]

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