即时速报

专家报告的录像已经整理完成,大家可在日程表中查看。

部分专家PPT在整理过程中,大家届时可在日程安排中对应的专家报告处点击相应的链接下载。

暑期学校日程公布,详见日程安排

暑期学校新增九位讲者,详见讲者介绍

暑期学校首批七位讲者已经确定,详见讲者介绍

暑期学校主页上线。

可视计算是计算机图形学和计算机视觉的交叉领域,涉及计算机图形学、计算机视觉、机器人、可视化、人机交互等许多方向。在大数据时代,可视计算被广泛应用到不同领域中,比如智能产品中的人脸识别,虚拟现实漫游中的大型城市模型的三维重建,行驶在道路上的无人车等等,可视计算的研究成果正在不断改变着我们的生活。

山东大学第六届“可视计算”暑期学校将在网上开展,届时将邀请国内外顶级专家就可视计算的基础理论、应用领域与发展的前沿进行专题讲座,其中包括: 计算机图形学、计算机视觉、人机交互、机器人、虚拟现实/增强现实(VR/AR)、3D打印、可视分析等。

暑期特色活动:

DIY实践:学长学姐们全程线上指导,提供虚拟现实、3D打印、深度学习相关实验环境,让大家亲自动手实践,对表现优异者颁发奖励。

名师面对面:与领域顶级专家及国内同行畅谈创新思维,分享奇思妙想,碰撞思想火花。

魅力七月,我们期待您的加入!

报名及录取方式

本次暑期学校免收报名费!

本科生

2020年7月6日前,在报名网站,填写报名信息。

6月25日-7月10日为审核阶段,期间向通过审核的学员发送确认邮件,并通过电话面试确认DIY分组。

研究生、教师及企业同仁

2020年7月6日前,在报名网站,填写报名信息。

6月25日-7月10日为审核阶段,期间向通过审核的学员发送确认邮件。

欢迎你的到来!

报名地址:山东大学交叉研究中心暑期学校报名系统

讲者介绍

陈宝权, 北京大学

Baoquan Chen is an Endowed Boya Professor of Peking University, where he is the Executive Director of the Center on Frontiers of Computing Studies. He is an IEEE Fellow. His research interests generally lie in computer graphics, visualization, and human-computer interaction, focusing specifically on large-scale city modeling, simulation and visualization.

陈宝权,北京大学博雅特聘教授,前沿计算研究中心执行主任,博士生导师,IEEE Fellow和中国计算机学会会士。研究领域为计算机图形学与可视化。在 ACM SIGGRAPH、IEEE VIS、ACM TOG等国际会议和刊物发表论文 100 余篇。

Dani Lischinski, the Hebrew University of Jerusalem

Dani Lischinski is a professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel, where he runs the Computer Graphics Lab. He received the Eurographics Outstanding Technical Contributions Award in 2012 and served as the Technical Papers Chair for SIGGRAPH Asia 2017.

以色列希伯来大学计算机科学教授。研究领域包括计算机图形学,可视化,虚拟现实以及图像视频处理等。2012年被授予欧洲图形学杰出技术贡献奖。 SIGGRAPH Asia 2017技术论文主席。

Daniel Cohen-Or, Tel Aviv University

Daniel Cohen-Or is a professor at the Department of Computer Science, Tel Aviv University. His research interests are in Computer Graphics, Visual Computing and Geometric Modeling. In 2013, he's received The People's Republic of China Friendship Award. He was the recipient of the Eurographics Outstanding Technical Contributions award in 2005, ACM SIGGRAPH Computer Graphics Achievement Award in 2018.

以色列特拉维夫大学教授,中国政府“友谊奖”获得者,计算机图形学最高殊荣“计算机图形杰出成就奖”(ACM SIGGRAPH Computer Graphics Achievement Award)获得者,欧洲图形学会“杰出技术贡献奖”获得者。

Daniel Weiskopf, the University of Stuttgart

Daniel Weiskopf is the Managing Director at VIS, Co-Director at VISUS and the Director at Department Visualization of the University of Stuttgart. He served as the IEEE SciVis Paper Chair in 2019. His research interests include information and scientific visualization, visual analytics, eye tracking, computer graphics, special and general relativistic visualization.

斯图加特大学可视化研究中心(VISUS)联合主任、可视化与交互系统研究所(VIS)执行主任、数据可视化系主任 研究领域包括信息可视化、科学可视化、可视分析、眼球追踪、计算机图形学、狭义和广义相对论可视化等 IEEE SciVis 2019 论文主席

Jean-Daniel Fekete, INRIA

Jean-Daniel Fekete is the Scientific Leader of the INRIA Project Team AVIZ. He is a member of the Eurographics publication board, and Associate Editor-in-Chief of the IEEE Transactions on Visualization and Computer Graphics. Chair of the IEEE Information Visualization Conference Steering Committee, a member of the IEEE VIS Executive Committee, a member of the Eurographics EuroVis Steering Committee.

INRIA科研负责人,欧洲图形学出版委员会成员,IEEE TVCG副主编,IEEE信息可视化会议指导委员会主席,IEEE VIS执行委员会成员,Eurographics EuroVis指导委员会成员。

龚明伦, University of Guelph

Dr. Minglun Gong is a Professor and Director at the School of Computer Science, University of Guelph.Minglun’s research interests cover various topics in the broad area of visual computing  He was the recipient of the Izaak Walton Killam Memorial Award and best paper awards at the 2015 Canadian Conference on Artificial Intelligence, the 2016 International Symposium on Visual Computing, and the 2019 Conference on Computer and Robot Vision.

龚明伦是加拿大圭尔夫大学计算机科学学院的教授和院长。他的研究兴趣涵盖了视觉计算这一广泛领域的各种主题。他获得了2015年加拿大人工智能大会、2016年视觉计算国际研讨会和2019年计算机与机器人视觉大会的Izaak Walton Killam纪念奖和最佳论文奖。

程明明, 南开大学

Ming-Ming Cheng is a professor with College of Computer Science, Nankai University, leading the Media Computing Lab. He is a senior member of the IEEE and on the editorial boards of the IEEE TIP. His research interests includes computer vision and computer graphics.

程明明,南开大学教授,计算机系主任,他的主要研究方向是计算机视觉和计算机图形学,在图像场景理解方面取得了多项具有国际影响力的创新性成果,有效地解决了视觉显著性物体检测、候选物体快速生成、以及智能分析与交互技术中的一些关键问题。

Oliver Deussen, University of Konstanz

Prof. Deussen graduated at Karlsruhe Institute of Technology and is professor at University of Konstanz. He also serves as visiting professor at the Chinese Academy of Science in Shenzhen (SIAT).He serves as President of the Eurographics Association .His areas of interest are modeling and rendering of complex systems, non-photorealistic rendering, sampling theory as well as Information Visualization.

Deussen教授毕业于卡尔斯鲁厄理工学院,德国康斯坦茨大学教授。他还担任深圳中国科学院(SIAT)客座教授,欧洲图形学会主席。他的兴趣领域包括复杂系统的建模和渲染、非真实感绘制、采样理论以及信息可视化。

胡事民, 清华大学

Shi-Min Hu is a professor in Computer Science at Tsinghua University and director of Visual Media Research Center. His research areas are computer graphics, computer vision, and system software. He has published more than 200 papers in refereed journals and conferences, including 75 IEEE/ACM Transactions papers. He is the Chief Scientist of National Basic Research Program of China (The 973 program).

胡事民,清华大学计算机科学学院教授。他的研究领域是计算机图形学、计算机视觉和系统软件。他已在相关期刊和会议上发表了200多篇论文。他是国家重大基础研究(973)计划项目首席科学家。

陈为, 浙江大学

Wei Chen is a professor and vice dean in the School of Computer Science and Technology at Zhejiang University, and deputy director of the State Key Lab of CAD&CG. His current research interests include visualization, visual analytics and bio-medical image computing. He actively served in many leading conferences and journals. He is an associate editor of ACM TIST, IEEE CG&A, FCS and JOV.

浙江大学计算机科学与技术学院教授、副院长,国家重点实验室CAD&CG副主任。 他目前的研究兴趣包括可视化、可视化分析和生物医学图像计算。 他是IEEE PacificVIS和ChinaVIS指导委员会委员。

Andrei Sharf, Ben-Gurion University

Andrei Sharf is an associate professor at the Computer Science Department, Ben-Gurion University. His research is in the realm of Computer Graphics. He was the recipient of the Eurographics Young Researcher Award in 2012.

以色列本古里安大学计算机科学系副教授,从事计算机图形学方面的研究。2012年获欧洲图形学会“青年研究者奖”。

赵健, University of Waterloo

Jian Zhao is an Assistant Professor at the School of Computer Science, University of Waterloo. His research lies in the intersection of information visualization, human-computer interaction, and data science. He is dedicated to developing interactive visualizations that optimize the analytical workflow of solving complex real-world data problems.

赵健博士是滑铁卢大学计算机科学学院的助理教授。他的研究方向集中于信息可视化,人机交互和数据科学的交叉运用。他致力于开发交互式的可视化系统来优化现实中复杂数据问题的分析流程。

黄其兴, University of Texas at Austin

Qixing Huang is an assistant professor of Computer Science at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford University. He was a research assistant professor at Toyota Technological Institute at Chicago before joining UT Austin. His research spans the fields of computer vision, computer graphics, and machine learning.

黄其兴是德克萨斯大学奥斯汀分校计算机科学的助理教授。他从斯坦福大学获得了计算机科学博士学位。在加入德克萨斯大学奥斯汀分校之前,他曾是芝加哥丰田技术学院的研究助理教授. 他的研究涉及计算机视觉、计算机图形学和机器学习领域

高希峰, Florida State University

Xifeng Gao is an Assistant Professor of Florida State University. He has wide research interests in fields related to Geometry Computing, such as Computer Graphics, Computer Vision, Visualization, Robotics, and Fabrication.

高希峰是佛罗里达州立大学的助理教授。他在与几何计算相关的领域有着广泛的研究兴趣,如计算机图形学、计算机视觉、可视化、机器人学和制作工艺。

刘志成, Adobe研究院

Zhicheng Liu is a research scientist at the Creative Intelligence Lab, Adobe Research, and will join the department of computer science at University of Maryland in August 2020. Before joining Adobe, he was a postdoctoral fellow at the Department of Computer Science of Stanford University.The visualization tools developed by him and collaborators are adopted by users around the world.

刘志成博士任职于Adobe研究院,将于2020年8月加入马里兰大学计算机科学系担任助理教授。在加入Adobe之前,他是斯坦福大学计算机科学系的博士后研究员。他和合作者开发的可视化工具被世界各地的用户所采用。

魏东来, Harvard University

Donglai Wei is a Postdoctoral Researcher at the Visual Computing Group at Harvard University under Prof. Hanspeter Pfister, where he leads the computer vision and machine learning research subgroup.His current research interests are in the biomedical image analysis with healthcare applications.

魏东来(Donglai Wei)是在哈佛大学Hanspeter Pfister教授视觉计算小组的博士后研究员,领导着组里计算机视觉和机器学习的研究。他目前的研究方向是生物医学图像分析与医疗应用。

赵海森, University of Washington

Haisen Zhao is a postdoctoral research associate at the University of Washington. His research interest lies at the geometric processing and its application for digital fabrication. He received CCF Outstanding Doctoral Dissertation Award in 2019.

华盛顿大学博士后,主要研究领域为计算机图形学、智能制造。被授予2019年度“CCF优秀博士学位论文奖”。

刘玲洁, Max-Planck-Institute

Lingjie Liu is the Lise Meitner Postdoctoral Research Fellow in the GVV group at the Max-Planck-Institute for Informatics working with Prof. Christian Theobalt. Her research interests include neural rendering, human performance capture, 3D reconstruction, etc.

刘玲洁是马克斯·普朗克信息学研究所GVV组的Lise Meitner博士后研究员,与Christian Theobalt 教授一起工作,她的研究兴趣包括神经渲染、人类行为捕捉、3D重建等。

梁盾, 清华大学

Dun Liang is a Ph.D. candidate in the the Graphics and Geometric Computing Group in Tsinghua, under the direction of Professor Shi-min Hu. Research interests include Computer Graphics, Vision and Defferential Programing, High Performace Computing. He won the student supercomputing championship at international conferences such as SC and ISC, also Gold medal of ACM-ICPC.

梁盾,现在清华计算机系图形学实验室攻读博士,师从胡事民教授,为计图核心成员。 研究兴趣包括图形学,视觉,可微编程,高性能计算。曾获得过世界学生超算比赛冠军,ACM中国赛区金牌。

DIY专题介绍

本科生暂定将参与到以下四个DIY小组,完成对应任务并准备最终展示
表现优秀者可获得奖励

虚拟现实/增强现实(VR/AR)专题

本专题将指导学员基于目前流行的增强现实开发工具和平台,在本地构建AR应用开发环境,实现AR应用开发,亲身体验增强现实所带来的梦幻感受。

专题将分为两个项目,分别是基于ARToolkit和OpenGL编程实现实时的虚实融合以及Unity平台下基于easyar的手机增强现实动画,学员们可以通过在本地环境下编程实现增强现实的效果,体会这种未来技术的魅力。

可视分析专题

本专题可以让学员接触到当前最前沿的可视分析问题,探讨数据之美。学员可接触到立体数据的呈现与分析,例如三维医疗数据的可视分析,抑或是信息的可视分析,如疫情可视化,社交网络信息可视化等等诸多方面,发挥想象力,亲身感受数据的美。

今年,可视化分析专题将以疫情时空态势分析、疫情传播模式的可视化和舆情可视化作为相关专题。学员们通过收集与疫情相关的数据,利用相关的数据处理和可视化方法,可视化疫情相关的内容,更直观感受疫情带来的变化。

3D打印专题

本专题以桌面3D打印机的主流技术熔融沉积成型(FDM)为基础,为大家提供了两个兼具知识性和趣味性的DIY课题, 以及标准的FDM型打印机及陶泥打印机。今年的暑期学校学员虽然不能亲临现场,但是可以通过摄像头远程观察打印的全过程,并能通过上述打印机将成果制造出来, 体会通过3D打印自己设计产品的新颖和乐趣。

3D打印专题将分为两个小项目,分别为基于G-code陶泥打印的路径设计和基于TPMS的多孔模型的生成,通过这两个项目,可以使学员了解3D打印的基本流程,锻炼编程能力和几何认知能力,享受从设计到制造过程中的挑战与乐趣。

计算机视觉专题

本专题将向学员介绍自动驾驶无人车涉及的物体检测、识别和三维定位等基础研究问题,并提供GPU服务器,供学员自己动手训练面向自动驾驶应用的深度神经网络,亲身体会人工智能近年来取得的激动人心的进展。

通过本专题,各位学员将会利用TensorFlow框架,运行点云特征学习架构PointCNN,能够在提供的用于点云语义分割的PointCNN基础版本上进行进一步开发,完成PointCNN-KITTI。专题还提供了提高项目,学员们可以结合TensorFlow的文档完成进一步的探索,感受深度学习在计算机视觉领域的优势与特点。

日程安排

Program of the 6th “Visual Computing” Summer School

Qingdao Campus, Shandong University

Date

Time

Event

July 17

Chair:

Lin Lu

09:00-09:10

Opening Ceremony

09:10-09:15

Changhe Tu, Welcoming Address

09:15-10:00

Baoquan Chen, Peking University
On Computer Graphics Enabled Virtual-Real Intimacy [video]

10:00-10:45

Qixing Huang, University of Texas at Austin
Hybrid 3D Representations for 3D Understanding [PPT] [video]

10:45-11:30

Minglun Gong, University of Guelph
Novel network architectures for arbitrary image style transfer [video]

11:30-11:50

Introduction on 4 DIY Sessions

[3D Printing] Xiaokang Liu, Practices on 3D Reconstruction and 3D Printing

[VR/AR] Dayong Chen, Programming Practices on Virtual and Augmented Reality

[Visualization] Mingliang Xue, Big Data Visual Analysis and Practice

[CV] Zhiyi Pan, Programming Practices on Computer Vision

July 17

Chair:

Yunhai Wang

14:00-14:45

Daniel Weiskopf, University of Stuttgart
ETVIS2: Eye Tracking for Visualization and Visualization for Eye Tracking

14:45-15:30

Jean-Daniel Fekete, INRIA
Progressive data analysis: a new language paradigm for scalability in exploratory data analysis [video]

15:30-16:15

Oliver Deussen, University of Konstanz
Uncertainty Visualization [video]

16:15-17:00

Wei Chen, Zhejiang University
大数据可视化的挑战与机遇 [video]

19:00-20:00

Online Welcome Party

20:00-21:00

DIY Activity

July 18

Chair:

Changhe Tu

09:00-09:45

Shimin Hu, Tsinghua University
可视媒体内容生成一从数据驱动到深度学习

09:45-10:30

Jian Zhao, University of Waterloo
The Flow of Knowledge: Applying Visualization Techniques in Communication and Collaboration [PPT] [video]

10:30-11:15

Zhicheng Liu, Adobe
Scalable Visualization Systems for Broad Audiences [PPT] [video]

11:15-12:00

Dun Liang, Tsinghua University
图像生成学习与实践 [PPT] [video]

July 18

Chair:

Fan Zhong

14:00-14:45

Daniel Lischinski, The Hebrew University of Jerusalem
Generative Adversarial Networks and their Applications [video]

14:45-15:30

Andrei Sharf, Ben-Gurion University of the Negev
Deep learning for Nano-photonics [video]

15:30-16:15

Daniel Cohen-Or, Tel Aviv University
Face Disentangling [video]

16:15-17:00

Lingjie Liu, Max Planck Institute for Informatics
Learning Neural Sparse Voxel Fields for Free-viewpoint Rendering [PPT] [video]

19:00-21:00

DIY Activity

July 19

Chair:

Shiqing Xin

09:00-09:45

Mingming Cheng, Nankai University
Adaptive Visual Perception Technology [PPT] [video]

09:45-10:30

Donglai Wei, Harvard University
First and Last Mile Problems for Biomedical Image Analysis [video]

10:30-11:15

Xifeng Gao, Florida State University
Design and Optimization of Conforming Lattice Structures [PPT] [video]

11:15-12:00

Haisen Zhao, University of Washington
Carpentry Compiler [PPT] [video]

July 19

Chair:

Qiong Zeng

14:00-14:20

Changhe Tu, Shandong University [video]

14:20-14:40

Yunhai Wang, Shandong University [PPT] [video]

14:40-15:00

Lin Lu, Shandong University [video]

15:00-15:20

Shiqing Xin, Shandong University [PPT] [video]

15:20-15:40

Fan Zhong, Shandong University [video]

15:40-16:00

Qiong Zeng, Shandong University [PPT] [video]

19:00-21:00

DIY Activity

July 20

9:00-21:00

DIY Activity

July 21

9:00-15:00

DIY Activity

15:00-16:00

Closing Ceremony

本届暑期学校采用网上直播形式,大家可点击直播地址或扫描下方二维码观看。

Worthy

往届回顾

在这里,大家协力合作,共同留下深刻的记忆
Enjoy every time, enjoy every one.


常见问题解答

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企业赞助

我们欢迎相关企业参与本届暑期学校,共同推动可视计算的发展与进步!

本届暑期学校为赞助企业提供产品展示、宣传推广,同时,企业能在现场与领域知名学者充分交流。赞助分为银(3万元)、金(5万元)两个级别,暑期学校可以在网站和会场帮助企业进行品牌宣传(银级),并可安排30分钟的现场技术报告(金级)。

宣传方式主要有:暑期活动前:微信、微博、网页、校园海报;活动现场:企业海报、讲座(金级);活动之后:微信、微博、网页、媒体报道。

可传递到的人群:高校学生、老师、业界专业人士,传播到的专业相关人群上万。

详情请直接与王老师联系。

欢迎相关企业参与本届暑期学校,共同推动可视计算的发展与进步!