Preliminary Conference Program
Please download the conference program here.
| Day 1 1 March 2011 Tuesday |
Day 2 2 March 2011 Wednesday |
Day 3 3 March 2011 Thursday |
Day 4 4 March 2011 Friday |
| Registration (08:30) |
Registration (08:00) |
Registration (08:30) |
Registration (08:30) |
| Opening Session (08:45 - 09:00) |
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| Tutorial I VTK Tutorial (09:00 - 12:00) |
Keynote Speech I Arie Kaufman (09:00 - 10:00) |
Keynote Speech II Kwan-Liu Ma (09:00 - 10:00) |
Keynote Speech III Ulrik Brandes (09:00 - 10:00) |
| Coffee Break (10:00 - 10:20) |
Coffee Break (10:00 - 10:20) |
Coffee Break (10:00 - 10:20) |
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| Session 1 Volume Rendering and Navigation (10:20 - 12:00) |
Session 4 Collaboration and Text (10:20 - 12:00) |
Session 6 Graph Visualization (10:20 - 12:00) |
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| Lunch (12:00 - 13:30) |
Lunch (12:00 - 13:30) |
Lunch (12:00 - 13:30) |
Closing Session and AMD Best Paper Award (12:00 - 12:30) |
| Tutorial II Visualization for Large Multi-touch Interactive Surfaces (13:30 - 17:00) |
Session 2 Visualization in Medicine and Natural Sciences (13:30 - 15:10) |
Panel Visualization Research in Asia Pacific (13:30 - 15:00) |
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| Coffee Break (15:10 - 15:30) |
Poster Session and Coffee Break (15:00 - 15:50) |
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| Session 3 Vector Fields and Flow Visualization (15:30 - 17:35) |
Session 5 Space and Time (15:30 - 17:35) |
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| Poster Fast Forward (17:40 - 18:00) |
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| *Coffee Breaks at 10:00 & 15:10 on Day 1 | Poster Session (18:00 - 20:00) |
Banquet (18:00 - 21:00) |
Parallel Coordinates
Speaker:
- Xiaoru Yuan, Peking University
- Huamin Qu, Hong Kong University of Science and Technology
Abstract:
Among many techniques proposed for exploratory visualization of multidimensional data, parallel coordinates scheme, which represents an N dimensional data tuple as one polyline crossing parallel axes, has been widely applied. In this tutorial, we will cover multiple aspects related to research on parallel coordinates. Basic concepts and major research issues in parallel coordinates will be first addressed. Further, we will discuss a wide spectrum of parallel coordinates applications, covering a varieties of data types. This tutorial is suitable for both researchers who are interested in research on parallel coordinates and domain users who are interested in taking parallel coordinates as a tool.
Bio:
Xiaoru Yuan is a faculty member in the School of Electronics Engineering and Computer Science at Peking University. His primary research interests fall in the field of visualization with emphasis on information visualization, high performance visualization and novel visualization user interface. His co-authored work on high dynamic range volume visualization received Best Paper Award at the IEEE Visualization 2005 conference. He received Bachelor degrees in chemistry and law from Peking University, China, in 1997 and 1998, respectively. He received the Ph.D. degree in computer science in 2006, from the University of Minnesota at Twin Cities. For more information see his research group website at http://vis.pku.edu.cn/.
Huamin Qu is currently an associate professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He received a BS in Mathematics from Xi'an Jiaotong University, China, an MS and a PhD (2004) in Computer Science from the State University of New York at Stony Brook. His main research interests are in visualization and computer graphics. He is a winner of 2009 IBM Faculty Award and receives Honorable Mention for Best Paper Award at IEEE Visualization 2009. He serves as a guest editor for ACM Transactions on Intelligent Systems and Technology, and IEEE Computer Graphics and Application. He is also a program co-chair of IEEE Pacific Visualization Symposium 2011.
Visualization for Large Multi-touch Interactive Surfaces
Speaker:
- Petra Isenberg , INRIA
Abstract:
Large touch-sensitive surfaces such as tabletop or wall displays lend themselves to making sense of large data sets and collaborative analysis. Touch-sensitive surfaces are often associated with being ‘intuitive’ and ‘natural’ and may provide additional benefits, for example, in form of added awareness of collaborators’ actions, better performance than mouse interaction in certain cases, and multiple degrees of freedom input. As interactive displays become part of our everyday environments, they provide new data analysis platforms that can encourage alternative forms of data exploration and promote the use of visualization techniques even by non-experts.
In this tutorial, you will learn about current touch-sensitive display technology and the possibilities to use those surfaces for data analysis and visualization. In addition, you will learn about the challenges of developing visualizations and interaction techniques for individual and synchronous group interaction. Finally, the tutorial will provide an overview of recent research solutions for touch-interactive visualization on large displays.
Bio:
Petra Isenberg is a research scientist at INRIA, the French National Research Institute for Computer Science and Control.
She has been actively involved in research on visualization applications for tabletop displays and large wall displays, with a focus on synchronous team work. Her main research interests include information visualization, visual analytics, and computer supported cooperative work. Petra holds a PhD from the University of Calgary in Canada and a Diplom degree (equiv. to a Master's) from the University of Magdeburg in Germany. For more information see her website at http://www.aviz.fr/~isenberg/.
Immersive Exploration of Large Datasets
Speaker:
- Arie Kaufman, Stony Brook University
Abstract:
Scientists, engineers and physicians are now confronted with a fire hose of data. Immersive visualization environments provide these users with a novel way of interacting and reasoning with large datasets. They allow them to utilize the entirety of their visual bandwidth, effectively engulfing the user in the data and enabling collaborative interaction. We present a custom-built 5-wall Cave environment, called the Immersive Cabin (IC). It is driven by a GPU cluster for both computation and 3D stereo rendering. We also propose a conformal deformation rendering pipeline for the visualization of datasets on partially-immersive platforms. Combined with a range of interaction and navigation tools, our system can support numerous interactive applications of large datasets. Several demonstrations include architectural visualization, urban planning, medical visualization, simulation and rendering of physical phenomena, and entertainment.
Current visualization displays, however, have not kept up with the explosive growth in data size and resolution, which is beginning to match the resolution of the visuals that surround us in daily life. To ameliorate this challenge, we have developed a life-like, realistic immersion into the petascale data to be explored, appropriately called The RealityDeck. It is a one-of-a kind pioneering G-pixel immersive and collaborative display system – a unique assembly of high-res display panels, GPU cluster, sensors, networking, computer vision, and human-computer interaction technologies.
Current visualization displays, however, have not kept up with the explosive growth in data size and resolution, which is beginning to match the resolution of the visuals that surround us in daily life. To ameliorate this challenge, we have developed a life-like, realistic immersion into the petascale data to be explored, appropriately called The RealityDeck. It is a one-of-a kind pioneering G-pixel immersive and collaborative display system – a unique assembly of high-res display panels, GPU cluster, sensors, networking, computer vision, and human-computer interaction technologies.
Bio:
Arie Kaufman is a Distinguished Professor and Chairman of the Computer Science Department, Director of the Center of Visual Computing (CVC), and Chief Scientist of the Center of Excellence in Wireless and Information Technology (CEWIT) at the State University of New York at Stony Brook (aka Stony Brook University). He has conducted research for over 35 years in computer graphics and visualization and their applications, has published more than 300 refereed papers, books, and chapters, has delivered more than 20 invited keynote/plenary talks, has been awarded/filed more than 40 patents, and has been a principal/co-principal investigator on more than 100 research grants. He is a Fellow of IEEE, a Fellow of ACM, and the recipient of the IEEE Visualization Career Award (2005) as well as numerous other awards. He was the founding Editor-in-Chief of the IEEE Transaction on Visualization and Computer Graphics (TVCG), 1995-1998. He has been the co-founder/papers co-chair of IEEE Visualization Conferences; Volume Graphics Workshops, Eurographics/SIGGRAPH Graphics Hardware Workshops, and ACM Volume Visualization Symposia. He previously chaired and is currently a director of IEEE CS Technical Committee on Visualization and Graphics. He received a PhD in Computer Science from the Ben-Gurion University, Israel, in 1977. For more information, please visit: http://www.cs.sunysb.edu/∼ari
New Approaches to Large Data Visualization
Speaker:
- Kwan-Liu Ma, University of California, Davis
Abstract:
Advanced computing and imaging technologies enable scientists to study natural and physical phenomena at unprecedented precision, resulting in an explosive growth of data. Furthermore, the size of the collected information about the Internet and mobile device users is expected to be even greater, a daunting challenge we must address in order to make sense and maximize utilization of all the available information for decision making and knowledge discovery. I will introduce a few new approaches to large data visualization for revealing hidden structures and gleaning insights from large, complex data found in many areas of study.
Bio:
Dr. Kwan-Liu Ma is a professor of computer science and the chair of the Graduate Group in Computer Science (GGCS) at the University of California-Davis. He leads the VIDI (Visualization and Interface Design Innovation) research group, and directs the DOE SciDAC Institute for Ultra-Scale Visualization. His research spans the fields of visualization, computer graphics, and high-performance computing. Professor Ma received his PhD in computer science from the University of Utah in 1993. Before he joined UC Davis in 1999, he was with ICASE/NASA Langley Research Center as a research scientist. Professor Ma is presently leading a team of 30 researchers working on projects in large data visualization, information visualization, visual interface design, artistically inspired illustrations, video processing, and volume visualization. He has received several awards for his outstanding research accomplishments including the prestigious PECASE award. Professor Ma has been actively serving the research community by playing leading roles in several professional activities including the Workshop on Visualization for Cyber Security, the SC Workshop on Ultra-Scale Visualization, the Eurographics Symposium on Parallel Graphics and Visualization, the IEEE Visualization Conference, and the IEEE Pacific Visualization Symposium. Professor Ma also serves on the editorial boards of the IEEE Computer Graphics and Applications (CG&A), the IEEE Transactions on Visualization and Computer Graphics (TVCG), and the Journal of Computational Science and Discovery.
Why Everyone seems to be using Spring Embedders for Network Visualization, and should not
Speaker:
- Ulrik Brandes, University of Konstanz
Abstract:
The main algorithmic challenge in network visualization is the placement of nodes. While plenty of layout algorithms have been proposed, the vast majority of information visualization tools appears to utilize (sometimes a variant of) one of two algorithms: the approach of Fruchterman and Reingold or that of Kamada and Kawai.Both are often referred to as force-directed methods, or spring embedders, and praised for their general applicability, high adaptability, and simplicity.
I will argue that commonly used implementations and even the approaches themselves are outdated and, in fact, have always been. They should be replaced by variants of multidimensional scaling that display superior results and scalability, and are just as flexible and easy to implement. Some of these statements may actually be backed by evidence.
Bio:
Ulrik Brandes is a Professor of Computer Science at the University of Konstanz. With a background in algorithmics, his main interests are in network analysis and visualization, with application to social networks in particular. He is a member of the Graph Drawing Steering Committee, the board of directors of the International Network for Social Network Analysis (INSNA), and the editorial board of the Journal of Graph Algorithms and Applications, as well as an associate editor of Social Networks. He was recently awarded a prestigious Reinhart Koselleck-Project by Deutsche Forschungsgemeinschaft (DFG), and co-directs a transfer center for network research methods.
Full-Resolution Interactive CPU Volume Rendering with Coherent BVH Traversal
- Aaron Knoll , Argonne National Laboratory
- Sebastian Thelen , University of Kaiserslautern
- Ingo Wald , Intel Corporation
- Charles Hansen , University of Utah
- Hans Hagen , University of Kaiserslautern
- Michael Papka , Argonne National Laboratory
Context-Aware Volume Navigation
- Stefan Diepenbrock , University of Münster
- Timo Ropinski , University of Münster
- Klaus Hinrichs , University of Münster
Multi-Dimensional Transfer Function Design based on Flexible Dimension Projection Embedded in Parallel Coordinates
- Hanqi Guo, Peking University
- He Xiao, Peking University
- Xiaoru Yuan, Peking University
Static Correlation Visualization for Large Time-Varying Volume Data
- Cheng-Kai Chen, University of California, Davis
- Chaoli Wang, Michigan Technological University
- Kwan-Liu Ma, University of California, Davis
- Andrew Wittenberg, National Oceanic and Atmospheric Administration
The Neuron Navigator: Exploring the Information Pathway through the Neural Maze
- Ching-Yao Lin , National Center for High-performance Computing, Taiwan
- Kuen-Long Tsai , National Center for High-performance Computing, Taiwan
- Sheng-Chuan Wang , National Center for High-performance Computing, Taiwan
- Chang-Huain Hsieh , National Center for High-performance Computing, Taiwan
- Hsiu-Ming Chang , Brain Research Center, National Tsing-Hua University, Taiwan
- Ann-Shyn Chiang , Brain Research Center, National Tsing-Hua University, Taiwan
CareCruiser: Exploring and Visualizing Plans, Events, and Effects Interactively
- Theresia Gschwandtner , Vienna University of Technology, Austria
- Wolfgang Aigner , Vienna University of Technology, Austria
- Katharina Kaiser , Vienna University of Technology, Austria
- Silvia Miksch , Vienna University of Technology, Austria
- Andreas Seyfang , Vienna University of Technology, Austria
Loose Capacity-Constrained Representatives for the Qualitative Visual Analysis in Molecular Dynamics
- Steffen Frey , Visualization Research Center, University of Stuttgart
- Thomas Schlömer , University of Konstanz
- Sebastian Grottel , Visualization Research Center, University of Stuttgart
- Carsten Dachsbacher , Computer Graphics Group, Karlsruhe Institute of Technology
- Oliver Deussen , University of Konstanz
- Thomas Ertl , Visualization Research Center, University of Stuttgart
Interactive Seismic Interpretation with Piecewise Global Energy Minimization
- Thomas Höllt , King Abdullah University of Science and Technology
- Johanna Beyer , King Abdullah University of Science and Technology
- Fritz Gschwantner , VRVis Research Center
- Philipp Muigg , SimVis GmbH
- Helmut Doleisch , SimVis GmbH
- Gabor Heinemann , Heinemann OiL GmbH
- Markus Hadwiger , King Abdullah University of Science and Technology
Uncertain Topology of 3D Vector Fields
- Mathias Otto , Visual Computing Group at Otto-von-Guericke University Magdeburg
- Tobias Germer , Visual Computing Group at Otto-von-Guericke University Magdeburg
- Holger Theisel , Visual Computing Group at Otto-von-Guericke University Magdeburg
Edge Maps: Representing Flow with Bounded Error
- Harsh Bhatia , SCI Institute, University of Utah
- Shreeraj Jadhav , SCI Institute, University of Utah
- Peer-Timo Bremer , Lawrence Livermore National Laboratory
- Guoning Chen , SCI Institute, University of Utah
- Joshua Levine , SCI Institute, University of Utah
- Luis Gustavo Nonato , Universidade de Sao Paulo, Brazil
- Valerio Pascucci , SCI Institute, University of Utah
View Point Evaluation and Streamline Filtering for Flow Visualization
- Teng-Yok Lee , The Ohio State University
- Oleg Mishchenko , The Ohio State University
- Han-Wei Shen , The Ohio State University
- Roger Crawfis , The Ohio State University
Dual Space Analysis of Turbulent Combustion Particle Data
- Jishang Wei , University of California, Davis
- Hongfeng Yu , Sandia National Laboratories
- Ray W. Grout , National Renewable Energy Laboratory
- Jacqueline H. Chen , Sandia National Laboratories
- Kwan-Liu Ma , University of California, Davis
Analyzing Information Transfer in Time-Varying Multivariate Data
- Chaoli Wang , Michigan Technological University
- Hongfeng Yu , Sandia National Laboratories
- Ray Grout , National Renewable Energy Laboratory
- Kwan-Liu Ma , University of California, Davis
- Jacqueline Chen , Sandia National Laboratories
Impact of Group Size on Spatial Structure Understanding Tasks
- Taylor Sando , University of Manitoba
- Melanie Tory , University of Victoria
- Pourang Irani , University of Manitoba
Collaborative Information Linking: Bridging Knowledge Gaps between Users by Linking across Applications
- Manuela Waldner , Graz University of Technology
- Dieter Schmalstieg , Graz University of Technology
The NETSPEAK WORDGRAPH: Visualizing Keywords in Context
- Patrick Riehmann , Bauhaus-Universitaet Weimar
- Henning Gruendl , Bauhaus-Universitaet Weimar
- Bernd Froehlich , Bauhaus-Universitaet Weimar
- Martin Potthast , Bauhaus-Universitaet Weimar
- Martin Trenkmann , Bauhaus-Universitaet Weimar
- Benno Stein , Bauhaus-Universitaet Weimar
STREAMIT: Dynamic Visualization and Interactive Exploration of Text Streams
- Jamal Alsakran , Kent State University
- Yang Chen , University of North Carolina - Charlotte
- Ye Zhao , Kent State University
- Jing Yang , University of North Carolina - Charlotte
- Dongning Luo , University of North Carolina - Charlotte
Exploring Geo-Temporal Differences Using GTdiff
- Orland Hoeber , Department of Computer Science, Memorial University
- Garnett Wilson , Department of Computer Science, Memorial University
- Simon Harding , Department of Computer Science, Memorial University
- René Enguehard , Department of Geography, Memorial University
- Rodolphe Devillers , Department of Geography, Memorial University
Interactive Visualization of Multivariate Trajectory Data with Density Maps
- Roeland Scheepens , Eindhoven University of Technology
- Niels Willems , Eindhoven University of Technology
- Huub van de Wetering , Eindhoven University of Technology
- Jarke J. van Wijk , Eindhoven University of Technology
Visualizing Dynamic Data with Maps
- Daisuke Mashima , Georgia Institute of Technology
- Stephen Kobourov , University of Arizona
- Yifan Hu , AT&T Labs Research
TripVista: Triple Perspective Visual Trajectory Analytics and Its Application on Microscopic Traffic Data at a Road Intersection
- Hanqi Guo, Peking University
- Zuchao Wang , Peking University
- Bowen Yu , Peking University
- Huijing Zhao, Peking University
- Xiaoru Yuan, Peking University
Interactive Visualization of Streaming Data with Kernel Density Estimation
- Ove Daae Lampe , Chr. Michelsen Research AS and University of Bergen
- Helwig Hauser , University of Bergen
Dynamic Network Visualization in 1.5D
- Lei Shi , IBM Research - China
- Chen Wang , IBM Research - China
- Zhen Wen , IBM T. J. Watson Research Center
Multilevel Agglomerative Edge Bundling for Visualizing Large Graphs
- Emden Gansner , AT&T Labs - Research
- Yifan Hu , AT&T Labs - Research
- Stephen North , AT&T Labs - Research
- Carlos Scheidegger , AT&T Labs - Research
An Extended Evaluation of the Readability of Tapered, Animated, and Textured Directed-Edge Representations in Node-Link Graphs
- Danny Holten , Technische Universiteit Eindhoven
- Petra Isenberg , INRIA Unité de Recherche Saclay - Île-de-France
- Jarke J. Wijk, van , Technische Universiteit Eindhoven
- Jean-Daniel Fekete , INRIA Unité de Recherche Saclay - Île-de-France
An Advanced Network Visualization System for Financial Crime Detection
- Walter Didimo , University of Perugia
- Giuseppe Liotta , University of Perugia
- Fabrizio Montecchiani , University of Perugia
- Pietro Palladino , University of Perugia
Visualization of Large Astrophysical Simulations Data with SDvision
- B Thooris, IRFU
- D. Pomarède, IRFU
A PID Control-Based Scheme for Time-Critical Rendering of Particle Systems
- Yuriko Takeshima, Tohoku University
- Issei Fujishiro, Keio University
- Takashi Tokumasu, Tohoku University
A Study on Visualization for EFD/CFD Integration
- Saki Kasamatsu, Ochanomizu University
- Takayuki Itoh, Ochanomizu University
- Shigeya Watanabe, Japan Aerospace Exploration Agency
- Shigeru Kuchi-ishi, Japan Aerospace Exploration Agency
- Kanako Yasue, Japan Aerospace Exploration Agency
An Educational System of Scientific Visualization Techniques Using Microsoft Excel Spreadsheets
- Naohisa Sakamoto, Kyoto University
- Koji Koyamada, Kyoto University
Interpolation of 3D Diffusion Tensor Fields by Locating Degenerate Lines
- Chongke Bi, The University of Tokyo
- Shigeo Takahashi, The University of Tokyo
- Issei Fujishiro, Keio University
Importance-Driven Multi-Resolution Volume Rendering
- Jianfeng Xue, Zhejiang University of Technology
- Ronghua Liang, Zhejiang University of Technology
- Bing Xu, Zhejiang University of Technology
- Wei Chen, Zhejiang University
Visualization of multidimensional uncertainty by integration of Parallel Coordinates and Star Glyphs
- Huaiqing He, Civil Aviation University of China
- Lei Yang, Civil Aviation University of China
3D Time-Varying Data Visualization Technique Featuring Symbolic Aggregate Approximation Method
- Maiko Imoto, Ochanomizu University
- Takayuki Itoh, Ochanomizu University
ImageCube: An Image Browser Featuring a Multi-dimensional Data Visualization Technique
- Zheng Yunzhu, Ochanomizu University
- Ai Gomi, Ochanomizu University
- Takayuki Itoh, Ochanomizu University
PLUM: A Photograph Browser with a Layout-Upon-Maps Algorithm
- Kana Shiratori, Ochanomizu University
- Takayuki Itoh, Ochanomizu University
- Satoshi Nakamura, Kyoto University
Parallel Coordinates on iPad
- Bowen Yu, Peking University
- Xiaoru Yuan, Peking University
Multi-touch System Used in Visualization
- Yadong Wu, Southwest University of Science and Technology
- Qingan Yan, Southwest University of Science and Technology
- Jie Fu, Southwest University of Science and Technology
- Hongli Deng, Southwest University of Science and Technology
- Lili Song, Southwest University of Science and Technology
Visual analysis case study of academic co-author network
- Xin Zhang, Peking University
- Limei Che, Peking University
- Rongjian Lan, Peking University
- Xiaoru Yuan, Peking University
A Genetic-based Method for External Labeling on Metro Map
- Hsiang-Yun Wu, The University of Tokyo
- Shigeo Takahashi, The University of Tokyo
- Chun-Cheng Lin, National Chiao Tung University
- Hsu-Chun Yen, National Taiwan University
Spatiotemporal Visual Analysis of Sensor Networks in the Wild
- Qi Liao, University of Notre Dame
- Lei Shi, IBM Research - China
- Yuan He, Hong Kong University of Science and Technology
- Zhong Su, IBM Research - China
- Aaron Striegel, University of Notre Dame
Colorscore - Visualization and Condensation of Structure of Classical Music
- Aki Hayashi, Ochanomizu University
- Takayuki Itoh, Ochanomizu University
- Masaki Matsubara, Keio University
MusiCube: A Music Selection Interface featuring Interactive Evolutionary Computering in Feature Spaces
- Yuri Saito, Ochanomizu University
- Takayuki Itoh, Ochanomizu University
Visual Analysis of People's Calling Network from CDR data
- Yueqi Hu, Zhejiang University
- Guizhen Wang, Zhejiang University
- Ronghua Liang, Zhejiang University of Technology
- Guangyu Chen, Zhejiang University
- Dichao Peng, Zhejiang University
- Wei Chen, Zhejiang University
Interactive Visualization of 160 Years’ Global Hurricane Trajectory Data
- Zuchao Wang, Peking University
- Hanqi Guo, Peking University
- Bowen Yu, Peking University
- Xiaoru Yuan, Peking University
Panelists:
- Issei Fujishiro, Keio University
- Seok-Hee Hong, University of Sydney
- Tung-Ju Hsieh, National Taipei University of Technology
- Shixia Liu, Microsoft Research Asia
- Qunsheng Peng, Zhejiang University
- Huamin Qu, Hong Kong University of Science and Technology
- Jinwook Seo, Seoul National University
