Events

Jun 2 - Jun 8, 2024

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  Cellular Mesoscale Visualization from Electron Microscopy Imaging

  Ngan Nguyen, Ph.D. Student, Computer Science

  Jun 6, 13:00 - 15:00

  B1 L4 R4214

  Currently, the acquisition of accurate cryogenic electron microscopy data deals with problems with complex and time-consuming processes, low signal-to-noise ratio, and missing wedge, leading to a lack of highly accurate imaging data. Such data would be necessary to develop computational methods/visualizations and essential to train deep learning models that are used to solve inverse problems.

Apr 9 - Apr 15, 2023

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  Web-based 3D Visualization

  Ivan Viola, Professor, Computer Science

  Apr 10, 12:00 - 13:00

  B9 L2 H2 H2

  nanovisualization computer graphics 3D graphics WebGPU WebAssmbly

  In this seminar I will present how to create 3D computer graphics and visualization systems for the web, using WebAssmbly and WebGPU language specifications, which are new, bleeding-edge technologies. Previously, accelerated graphics on the web was based on JavaScript libraries, which is still very popular, but they do not offer detailed memory management and code optimization, necessary for systems requiring high memory load and high computational demands. WebAssembly and WebGPU can be compiled from the C++ or Rust code, which also allows the deployment of the same codebase either for web or for the desktop-based applications.

Feb 19 - Feb 25, 2023

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  Visualization Methods for Graphs&Networks

  Prof.Oliver Deussen, Visual Computing, University of Konstanz

  Feb 20, 12:00 - 13:00

  B9 L2 H2 H2

  visualization force-directed layouts stress-based methods vector-based constraints

  Inevitably, the projection of most graph structures on two-dimensional screens will create errors and therefore visually wrong impressions. In the past, two types of methods have been developed to minimize projection errors and distribute them in a visually pleasing way. The first group of methods, force-directed layouts, interpret the links of a graph as physical springs, while stress-based methods minimize an energy function, which aims to map graph distances faithfully.

Nov 6 - Nov 12, 2022

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  Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

  Tobias Isenberg, Senior Research Scientist, Inria

  Nov 7, 12:00 - 13:00

  B9 L2 R2322 H1

  virtual reality data visualisation Scientific Visualization

  In this talk I will report on various research projects that I carried out with my students to better understand the interaction landscape and will report on lessons we learned. I will focus mostly on AR-based setups with application examples from physical flow visualization, molecular visualization, visualization of particle collisions, biomolecular dynamics in cells, and oceanography. I will show interaction techniques that rely on purely gestural interaction, phones or tablets as input and control devices, and hybrid setups that combine traditional workstations with AR views. I will discuss navigation, data selection, and visualization system control as different interaction tasks. With this overview I aim to provide an understanding of typical challenges in immersive visualization environments and how to address some of these challenges.

Nov 3 - Nov 9, 2019

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  Exploranation: A New Science Communication Paradigm

  Prof. Anders Ynnerman, Linköping University, Sweden

  Nov 6, 09:00 - 10:00

  B9 H2 R2325

  Abstract Science communication is facing a paradigm shift, based on the convergence of exploratory and explanatory visualization. In this article, we coin the term exploranation to denote the way in which visualization methods from scientific exploration can be used to communicate results and how methods in explanatory visualization can enrich exploration. Brief Biography Professor Ynnerman is currently the head of the Media and Information Technology division at the Department of Science and Technology (ITN) at Linköping University and is the director of the Norrköping Visualization Center C
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  Prototyping Multiscale Cellular Visualization & Modeling Techniques for Hypothesis Generation, Communication & Learning

  Graham Johnson, Allen Institute for Cell Science, USA

  Nov 5, 09:00 - 10:00

  B9 H2 R2325

  Abstract The visual analysis, assembly, and communication of molecule-scale events have benefited greatly from an explosion of available tools and data that has been provided and evolved by the structural biology community over the past 40 years. Compared to molecular visualization, however, the data, tools, and techniques available for cell-scale visualization remain in relative infancy. In structural biology, the details of a molecule can commonly be summarized with a few megabytes of data, which is heavily constrained by nanoscale physics. Could we ever uncover patterns and rules that will
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  Envisioning the Molecular Cell: Mesoscale Modeling Comes of Age

  Prof. Arthur Olson, The Scripps Research Institute, USA

  Nov 4, 09:00 - 10:00

  B9 H2 R2325

  Abstract The ability to create structural models of cells and cellular components at the molecular level is being driven by advances ranging from proteomics and expression profiling to ever more powerful imaging approaches. It is being enabled by technology leaps in computation, informatics, and visualization. Our CellPACK program and web-based Mesoscope are tools for generating and curating structural models of cellular environments at molecular and atomic levels. Recently we have implemented a GPU-based implementation of CellPACK that speeds up the process by orders of magnitude, in what we
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  KAUST Cell Visualization Summit 2019

  Nov 4, 08:30 - Nov 6, 10:00

  B9 H2 R2325

  visual computing nanovisualization visualization

  You are invited to attend the KAUST Cell Visualization Summit 2019 organized by the Nanovisualization group from the Visual Computing Center (VCC). The summit will focus on the technological advancement that can lead to an in-silico virtual and visual representation by integrating current knowledge into a unified structural and dynamic model of a living cell. Each keynote speaker will relate to one of the technological aspects (modeling, visualization, and interaction). Keynote speakers Arthur Olson Graham Johnson Anders Ynnerman For more information about the summit, please click here. If you

Oct 6 - Oct 12, 2019

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  Learning for Visual Data Synthesis and Analysis

  Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany

  Oct 7, 12:00 - 13:00

  B9 L2 H1 R2322

  Deep learning visual data synthesis visual data analysis estimation and segmentation Monte carlo methods

  Abstract In this talk, I will present our recent advances in deep learning to synthesize and analyze visual data, such as images, volumes, and point clouds. The presented approaches are loosely aligned along the classical computer graphics rendering pipeline, whereby both structured and unstructured data are handled. I will first present concepts for learning in object space, i.e., directly on the data to be rendered. To realize different visual tasks, such as normal estimation and segmentation, I will discuss how Monte Carlo integration can be used to realize convolutions on point cloud data

Sep 29 - Oct 5, 2019

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  Task-driven Automated Data Visualization

  Dr. Yunhai Wang, Professor, Computer Science, Shandong University, China

  Oct 2, 12:00 - 13:00

  B9 L2 H2 R2325

  data visualisation visualisation techniques parameters time series data high dimensional data EdWordle ShapeWordle

  Abstract By providing visual representations of data, visualization can help people to carry out many data analysis tasks more effectively. Given a data set, however, there are often too many possible visualization techniques, with each technique having many parameters to be tuned. This arises the question is if it is possible to automatically design a visualization that is best suited to pursue a given task on given input data. With my group, I developed a number of techniques to achieve this goal for different data sets such as time-series data, high-dimensional data, text as well as graphs

Sep 22 - Sep 28, 2019

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  Point cloud and volume data reconstruction and visualization

  Dr. Ciril Bohak, Postdoctoral Researcher, Faculty of Computer and Information Science, University of Ljubljana, Slovenia

  Sep 25, 13:00 - 14:00

  B1 L2

  point cloud volume data reconstruction visualization real-time rendering web-based framework

  Abstract Our ongoing research on the reconstruction of aerial point cloud data includes reconstructing the parts of the data that are not captured by the airplane mounted LiDAR system due to the shadowing effect and lack of reflections. We are developing methods for reconstructing (1) building walls, (2) reconstruction of bridges and underlying terrain; (3) reconstruction of water surfaces of lakes and rivers, and (4) reconstruction of terrain overhangs. In all the cases we are merging the point cloud data with cadaster data or digital terrain model data for filling the gaps in the point cloud

Apr 14 - Apr 20, 2019

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  Visualizing Trees

  Prof. Xiaoru Yuan, Peking University

  Apr 15, 12:00 - 13:00

  B9 L2 H1 R2322

  Peking University tree visualisation GoTree visual analytics map metaphor Social media

  In this talk, I will introduce a few recent works on tree visualization. First I will present a visualization technique for comparing topological structures and node attribute values of multiple trees. I will further introduce GoTree, a declarative grammar supporting the creation of a wide range of tree visualizations. In the application side, visualization and visual analytics on social media will be introduced. The data from social media can be considered as graphs or trees with complex attributes. A few approaches using map metaphor for social media data visualization will be discussed.