Program at a glance.
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FP1: SCALAR FIELD ANALYSIS
Himangshu Saikia, Tino Weinkauf: Global Feature Tracking and Similarity Estimation in Time-Dependent Scalar Fields
Jonas Lukasczyk, Gunther Weber, Ross Maciejewski, Christoph Garth, Heike Leitte: Nested Tracking Graphs
Girijanandan Nucha, Georges-Pierre Bonneau, Stefanie Hahmann, Vijay Natarajan: Computing contour tree for piecewise polynomial functions
Joshua Horacsek, Usman Alim: Compactly Supported Biorthogonal Wavelet Bases on the Body Centered Cubic Lattice
FP2: EVALUATING VISUALIZATION
Natalie Kerracher, Jessie Kennedy: Constructing and Evaluating Visualisation Task Classifications
Varshita Sher, Karen Bemis, Ilaria Liccardi, Min Chen: An Empirical Study on the Reliability of Perceiving Correlation Indices using Scatterplots
Natchaya Kijmongkolchai, Alfie Abdul-Rahman, Min Chen: Empirically Measuring Soft Knowledge in Visualization
Tanja Blascheck, Markus Schweizer, Fabian Beck, Thomas Ertl: Visual Comparison of Eye Movement Patterns
FP3: BIOMEDICAL VISUALIZATION
Monique Meuschke, Samuel Voss, Oliver Beuing, Bernhard Preim, Kai Lawonn: Glyph-based Comparative Stress Tensor Visualization in Cerebral Aneurysms
Mario A. Cypko, Jan Wojdziak, Matthaeus Stoehr, Bettina Kirchner, Bernhard Preim, Andreas Dietz, Heinz U. Lemke, Steffen Oeltze-Jafra: Visual Verification of Cancer Staging for Therapy Decision Support
Changgong Zhang, Matthan Caan, Thomas Höllt, Elmar Eisemann, Anna Vilanova: Overview + Detail Visualization for Ensembles of Diffusion Tensors
Brian Summa, Julien Tierny, Valerio Pascucci: Visualizing the Uncertainty of Graph-based 2D Segmentation with Min-path Stability
FP4: PLOTS, PLOTS, PLOTS
Joachim Giesen, Lars Kühne, Philipp Lucas: Sclow Plots: Visualizing Empty Space
Lin Shao, Aishwarya Mahajan, Tobias Schreck, Dirk Lehmann: Interactive Regression Lens for Exploring Scatter Plots
Thomas Torsney-Weir, Michael Sedlmair, Torsten Moeller: Sliceplorer: 1D slices for multi-dimensional continuous functions
Donghao Ren, Bongshin Lee, Tobias Höllerer: Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering
FP5: TEXT & TIME VISUALIZATION
Florian Stoffel, Wolfgang Jentner, Michael Behrisch, Johannes Fuchs, Daniel A. Keim: Interactive Ambiguity Resolution of Named Entities in Fictional Literature
Senthil Chandrasegaran, Sriram Karthik Badam, Lorraine Kisselburgh, Karthik Ramani, Niklas Elmqvist: Integrating Visual Analytics Support for Grounded Theory Practice in Qualitative Text Analysis
Mennatallah El-Assady, Rita Sevastjanova, Bela Gipp, Daniel Keim, Christopher Collins: NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations.
Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Roger Leite, Silvia Miksch, Alexander Rind: Cycle Plot Revisited: Outlier Detection in Multivariate Time Series
FP6: DATA PROCESSING
Tatiana von Landesberger, Dieter W. Fellner and Roy A. Ruddle: Visualization System Requirements for Data Processing Pipeline Design and Optimization
Christoph Markus Schikora, Markus Plack, Rainer Bornemann, Peter Haring Bolívar, Andreas Kolb: Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design
FP7: GRAPH VISUALIZATION
Ethan Kerzner, Alexander Lex, Crystal Lynn Sigulinsky, Timothy Urness, Bryan William Jones, Robert E. Marc, Miriah Meyer: Visualizing Connectivity Relationships in Large Graphs
Michael Burch, Marcel Hlawatsch, Daniel Weiskopf: Visualizing A Sequence of Thousand Graphs (Or Even More)
Johannes Hofmann, Michael Größler, Manuel Rubio-Sánchez, Peter-Paul Pichler, Dirk Lehmann: Visual Exploration of Global Trade Networks with Time-Dependent and Weighted Hierarchical Edge Bundles on GPU
Han Kruiger, Paulo Rauber, Rafael Messias Martins, Andreas Kerren, Stephen Kobourov, Alexandru Telea: Graph Layouts by t-SNE
FP8: APPLICATIONS & DESIGN STUDIES
Paul van der Corput, Jarke J. van Wijk: Comparing Personal Image Collections with PICTuReVis
Dominik Sacha, Feeras Al-Masoudi, Manuel Stein, Tobias Schreck, Daniel Keim, Gennady Andrienko, Halldór Janetzko: Dynamic Visual Abstraction of Soccer Movement
Marcel Wunderlich, Kathrin Ballweg, Georg Fuchs, Tatiana von Landesberger: Visualization of Train Delay Uncertainty and its Impacts on Trip Planning: A Design Study
Amal Aboulhassan, Ronell Sicat, Daniel Baum, Olga Wodo, Markus Hadwiger: Comparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologies
FP9: VISUAL ENCODING ANALYSIS
Eric Welch, Stephen Kobourov: Measuring Symmetry in Drawings of Graphs
Jorge Poco, Jeffrey Heer: Reverse-Engineering Visualizations: Recovering Visual Encodings from Chart Images
Jessica Hullman, Robert Kosara, Heidi Lam: Finding a Clear Path: Structuring Strategies for Visualization Sequences
Sean McKenna, Nathalie Henry Riche, Bongshin Lee, Jeremy Boy, Miriah Meyer: Narrative Flow: Factors Shaping Data Story Consumption Experiences
FP10: MULTI & HIGH DIMENSIONAL VISUALIZATION
Manuel Rubio-Sánchez, Alberto Sanchez, Dirk Lehmann: Adaptable Radial Axes Plots for Improved Multivariate Data Visualization
Yunhai Wang, Jingting Li, Feiping Nie, Holger Theisel, Dirk Lehmann, Minglun Gong: Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data
Juhee Bae, Tove Helldin, Maria Riveiro: Understanding Indirect Causal Relationships, Root Causes, and Effects
FP11: GEO & SPACE VISUALIZATION
Mereke van Garderen, Barbara Pampel, Arlind Nocaj, Ulrik Brandes: Minimum-Displacement Overlap Removal for Geo-referenced Data Visualization
Graham McNeill, Scott Hale: Generating Tile Maps
Li Liu, Deborah Silver, Karen Bemis, Dujuan Kang, Enrique Curchitser: Illustrative Visualization of Mesoscale Ocean Eddies
Emil Axelsson, Jonathas Campi Costa, Claudio Silva, Carter Emmart, Alexander Bock, Anders Ynnerman: Dynamic Scene Graph: Enabling Scaling, Positioning, and Navigation in the Universe
FP12: UNCERTAINTY
Mathias Hummel, Lisa Jöckel, Jan Schäfer, Mark Werner Hlawitschka, Christoph Garth: Visualizing Probabilistic Multi-Phase Fluid Simulation Data using a Sampling Approach
Yong Wan, Charles Hansen: Uncertainty Footprint
FP13: INTERACTION & PRESENTATION
Sriram Karthik Badam, Niklas Elmqvist, Jean-Daniel Fekete: Steering the Craft: UI Elements and Visualizations for Supporting Progressive Visual Analytics
Ulrike Kister, Konstantin Klamka, Christian Tominski, Raimund Dachselt: GraSp: Combining Spatially-aware Mobile Devices and a Display Wall for Graph Visualization and Interaction
Ha-Kyung Kong, Zhicheng Liu, Karrie Karahalios: Internal and External Visual Cue Preferences for Visualizations in Presentations
Zhicheng Liu, Bernard Kerr, Mira Dontcheva, Justin Grover, Matthew Hoffman, Alan Wilson: CoreFlow: Extracting and Visualizing Branching Patterns from Event Sequences Using a Rank-Divide-Trim Approach
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SP1: Multidimensional and Geospatial Visualization
Hsiang-Yun Wu; Shigeo Takahashi; Sheung-Hung Poon; Masatoshi Arikawa: Scale-Adaptive Placement of Hierarchical Map Labels
Aaron Watters: Marching pentatopes for continuous morphing of isosurfaces from four dimensional data in HTML5/WebGL
Rafael Martins; Han Kruiger; Rosane Minghim; Alexandru C. Telea; Andreas Kerren: MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks
Alex Godwin; John Stasko: Nodes, Paths, and Edges: Using Mental Maps to Augment Crime Data Analysis in Urban Spaces
Alex Godwin; Yongxin Wang; John Stasko: TypoTweet Maps: Characterizing Urban Areas through Typographic Social Media Visualization
SP2: Visualization Models & Human Computer Interaction
Robert Korsara: An Argument Structure for Data Stories
Yang Chen: Visualizing Large Time-series Data on Very Small Screens
Terece L. Turton; Anne S. Berres; David H. Rogers; James Ahrens: ETK: An Evaluation Toolkit for Visualization User Studies
Bharathi Asokarajan; Dr. Ronak Etemadpour; June Abbas; Sam Huskey; Chris Weaver: TexTile: A Pixel-Based Focus+Context Tool For Analyzing Variants Across Multiple Text Scales
Arjun Srinivasan; John Stasko: Natural Language Interfaces for Data Analysis with Visualization: Considering What Has and Could Be Asked
SP3: Temporal, Flow and Hierarchy Visualization
John Patchett; Boonthanome Nouanesengsy, Galen Gisler; James Ahrens; Hans Hagen: In Situ and Post Processing Workflows for Asteroid Ablation Studies
Dylan Rees; Robert Laramee; Duong Nguyen; Lei Zhang; Guoning Chen; Harry Yeh; Eugene Zhang: A Stream Ribbon Seeding Strategy
Florian Niebling: Spatial Interaction for the Post-Processing of 3D CFD Datasets
Sebastian Hahn; Jürgen Döllner: Hybrid-Treemap Layouting
Julia Sheidin; Joel Lanir; Peter Bak; Tsviu Kuflik, Time-Ray Maps: Visualization of spatial and temporal evolution of news stories
SP4: Visual Design, Case Studies and Evaluation
Drew Skau; Robert Kosara: Readability and Precision in Pictorial Bar Charts
Zana Vosough; Rainer Groh; Hans-Jörg Schulz: On Establishing Visualization Requirements: A Case Study in Product Costing
Devin Lange; Francesca Samsel; Ioannis Karamouzas; Rodney Dockter II; Timothy Kowalewski; Daniel Keefe: Trajectory Mapper: Interactive Widgets and Artist-Designed Encodings for Visualizing Multivariate Trajectory Data
Clement Roux; John McAuley: Reflections on an experiment, evaluating the impact of spatialisation on exploration
Ivan Bacher; Brian Mac Namee; John Kelleher: Scoped: Visualising the scope chain within source code
SP5: Biomedical and Biological Visualization
Qihang Li; Kun Huang; Raghu Machiraju: Spatiotemporal Visualization of Gene Expression in the Developing Mouse Brain
Claudia Hanel; Ali Demiralp; Markus Axer; David Gräßel; Bernd Hentschel; Torsten W. Kuhlen: Interactive Level-of-Detail Visualization of 3D Polarized Light Imaging Data Using Spherical Harmonics
Naif Alharbi; Mohammad Alharbi; Xavier Martinez; Michael Krone; Alexander S. Rose; Marc Baaden; Robert S. Laramee; Matthieu Chavent: Molecular Visualization of Computational Biology Data: A Survey of Surveys
Christof Sirk; Dieter Schmalstieg; Denis Kalkofen; Alexander Bornik: Dynamic Label Placement for Forensic Volume Visualization
Christina Gillmann; Pablo Arbelaez; Thomas Wischgoll; Jose Tiberio Hernandez; Hans Hagen: Intuitive Error Space Exploration of Medical Image Data in Clinical Daily Routine
SP6: Applications
Shah Rukh Humayoun, Saman Ardalan; Ragaad AlTarawneh; Achim Ebert: TExVis: An Interactive Visual Tool to Explore Twitter Data
Tobias Ruppert; Andreas Bannach; Jürgen Bernard; Martin Lokanc; Jörn Kohlhammer: Visual Access to Performance Indicators in the Mining Sector
Natalie Hube; Mathias Müller; Rainer Groh: Additional On-Demand Dimension for Data Visualization
Alexander Rind; Andrea Haberson; Kerstin Blumenstein; Christina Niederer; Markus Wagner; Wolfgang Aigner: PubViz: Lightweight Visual Presentation of Publication Data
Benjamin Karer; Diana Fernández-Prieto; Hans Hagen: The Situation Universe - Visualizing the Semantics of Integrated Data Structures
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ST1 - Wednesday 8:50 - 10:30 (Chair: Michael Sedlmair)
Yafeng Lu, Rolando Garcia, Brett Hansen, Michael Gleicher, Ross Maciejewski, The State-of-the-Art in Predictive Visual Analytics
Alex Endert, William Ribarsky, Cagatay Turkay, William Wong, Ian Nabney, Ignacio Díaz Blanco, Fabrice Rossi, The State of the Art in Integrating Machine Learning into Visual Analytics
ST2 - Wednesday 11:00 - 12:40 (Chair: Ross Maciejewski)
Siming Chen, Lijing Lin, Xiaoru Yuan, Social Media Visual Analytics
Kostiantyn Kucher, Carita Paradis, Andreas Kerren, The State of the Art in Sentiment Visualization
ST3 - Wednesday 14:15 - 15:55: (Chair: Helwig Hauser)
Liam McNabb, Bob Laramee, Survey of Surveys (SoS) - Mapping The Landscape of Survey Papers in Information Visualisation
Antoine Lhuillier, Christophe Hurter, Alex Telea, State of the Art in Edge and Trail Bundling Techniques
ST4 - Wednesday 16:30 - 17:20 (Chair: Vijay Natarajan)
Christoph Heinzl, Stefan Stappen, STAR: Visual Computing in Materials Sciences
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- Structuring and visualizing knowledge in soil science
Bastian Stößel, Eva Rabot, Ulrich Weller, Hans-Jörg Vogel, Felix Richter - Towards an Adaptive Framework for Real-Time Visualization of Streaming Big Data
Amin M Khan, Daniel Gonçalves, Duarte Cunha Leão - Diggersdiaries: Using text analysis to support exploration and reading in a large document collection
Jaume Nualart Vilaplana - Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering
Duksu Kim - Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout
Ricarda Moses, Shah Rukh Humayoun, Ragaad AlTarawneh, Achim Ebert - Visualisation of the Forever 27 Club
Suchismita Naik - BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network
Christoph Kinkeldey, Jean-Daniel Fekete, Petra Isenberg - Visualization Taxonomy based on the Specification of User’s Goal and Data Dimensions
Pawandeep Kaur, Birgitta Koenig-Ries - Hypenet: Visualizing Dynamic Hypergraphs
Paola Valdivia, Paolo Buono, Jean-Daniel Fekete - An Interactive Visual Representation to Explore Association with Hierarchical Social Circles
Shah Rukh Humayoun, Syed Hammad Ali, Ragaad AlTarawneh, Achim Ebert - Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes
Andreas Mathisen, Matthias Nielsen, Kaj Grønbæk - DcPAIRS : A Pairs Plot Based Decision Support System
Evanthia Dimara, Paola Valdivia, Christoph Kinkeldey - Power Efficiency of Volume Raycasting on Mobile Devices
Moritz Heinemann, Valentin Bruder, Steffen Frey, Thomas Ertl - Interactive Lens for Effective Time-Series Animation
Yang Chen, Jing Yang, Ye Zhao - A visual approach for text analysis using multiword topics
Seongmin Mun, Guillaume Desagulier, Kyungwon Lee - Daag: Visual Analytics Clustering using network representation
Daniel Alcaide Villar, Jan Aerts - Interactive Visualization of Massive Location Data using Multi-Scale Trajectories
Thomas De Bodt, Bart Adams, Jan Aerts - Uncertainty Visualization of Stenotic Regions in Vascular Structures
Gordan Ristovski, Horst K. Hahn, Lars Linsen - Using graphs for exposing the underlying competence design of academic degrees
Laia Blasco-Soplon, Julià Minguillón - ``Them again?'' Dynamic communities in the media
Haolin Ren, Marie-luce Viaud, Guy Melancon - Visual Stratification for Epidemiological Analysis
José Matute, Lars Linsen - MDS-based Visual Survey of Biological Data Visualization Techniques
Andreas Kerren, Kostiantyn Kucher, Yuan-Fang Li, Falk Schreiber - Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology
Martin Röhlig, Martin Luboschik, Ruby Kala Prakasam, Oliver Stachs, Heidrun Schumann - ConTraffic Visual Analytics in Support to Customs Risk-Analysis
Mikaela Poulymenopoulou, Aris Tsois - Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors
Muhammad Jawad, Lars Linsen - Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics
Quynh Ngo, Marc-Thorsten Huett, Lars Linsen - Quantitative Comparison of Treemap Techniques for Time-Dependent Hierarchies
Eduardo Faccin Vernier, Joao Comba, Alex Telea - Projection Navigation In Extremely Large Datasets
Han Kruiger, Alex Telea, Christophe Hurter - Responsive Data Visualisation
Keith Andrews, Aleš Smrdel - Visualization of Temporal Logic Specifications
James Scott-Brown, Antonis Papachristodoulou - Semi-automatic Colonic Content Analysis for Diagnostic
Víctor Ceballos, Eva Monclús, Pere-Pau Vázquez, Álvaro Bendezú, Marianela Mego, Xavier Merino, Fernando Azpiroz, Isabel Navazo - Visual Analysis of Geo-located Echo Chambers in Social Media
Michael Hundt, Bruno Schneider, Mennatallah El-Assady, Daniel Keim, Alexandra Diehl - Tangible Visual Analysis: Brushing in a Mixed-Reality Environment
Denis Gracanin, Reza Tasooji, Mohamed Handosa, Kresimir Matkovic, Manuela Waldner - A High-Dimensional Data Quality Metric using Pareto Optimality
Tobias Post, Thomas Wischgoll, Bernd Hamann, Hans Hagen - Visualising Data with L2
Graham mcneill
- Structuring and visualizing knowledge in soil science
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Martin Wattenberg & Fernanda Viégas (Google)
Visualization: The secret weapon for machine learning.
Machine learning is playing an increasingly influential role in the world, due to dramatic technical leaps in recent years. But these new developments bring their own questions. What is the best way to train models and to debug them? How can we understand what is going on under the hood of deep neural networks? It turns out that visualization can play a central role in answering these questions. We'll discuss recent work that shows how interactive exploration can help people use, interpret, and learn about machine intelligence. This talk will be an invitation, aimed at visualization experts, to the field of machine learning.
About the presenters.
Fernanda Viégas and Martin Wattenberg are the leaders of Google’s “Big Picture” data visualization group, part of Google Brain. Their work in machine learning focuses on transparency and interpretability, as part of a broad agenda to improve human/AI interaction. They are well known for their contributions to social and collaborative visualization, and the systems they’ve created are used daily by millions of people. Their visualization-based artwork has been exhibited worldwide, and is part of the permanent collection of Museum of Modern Art in New York.
Helwig Hauser (U. of Bergen)
From One to Many in Visualization.
A lot of interesting development has been happening in visualization research in the past 25 years. Certain topics, like medical visualization, flow visualization, tabular data visualization, and network visualization have attracted continued interest over many years and every year fascinating new findings are presented. We focus on the important work of optimizing our solutions and maturing the field. Every now and then, however, we also see promising chances for radical innovation, for new pioneering research in visualization. In this talk, we take a look at one of these chances, i.e., to transition from the visualization of individual datasets to visually studying large sets of datasets, for example from medical cohort studies or from numerical ensemble simulations. It seems that relevant new visualization challenges arise, when hundreds or thousands of datasets are studied simultaneously—in particular, when these are sets of multi-aspect spatiotemporal datasets. This talk brings up some of the related major questions (for example: how to map to the 2D/3D visualization space), together with examples of related work, and hopefully inspires some bright minds to conduct more visualization research on this topic of increasing relevance.
About the presenters.
Helwig Hauser graduated in 1995 from Vienna University of Technology in Austria and in 1998 he finished his PhD project on the visualization of complex dynamical systems (flow visualization). In 2003, he got his Habilitation at TU Wien, entitled ''Generalizing Focus+Context Visualization''—in 2006 this work was awarded with the Heinz-Zemanek Award by OCG. Already in 2004, his work on the interactive visual analysis of simulation data won the IEEE Visualization Contest in Austin. In 2013, Helwig Hauser then received the Dirk Bartz Prize for Visual Computing in Medicine from Eurographics (medical ultrasound data visualization). With >190 refereed publications and >7500 citations (h-index ≈ 50), he is an active and respected member of the international visualization research community. Recently, he chaired/hosted several important visualization conferences, including EuroVis 2011, PacificVis 2012, IEEE InfoVis 2013 & 2014, and VCBM 2016 in Bergen, and he has been serving as associate editor for three of the central journals (including IEEE TVCG, CGF, and C&G). After first working for TU Wien as assistant and later as assistant professor (1994–), he changed to the new VRVis Research Center in 2000 (having been one of the founding team, also). There, he led the basic research group on interactive visualization (until 2003) before he became the scientific director of VRVis (–2007). Since then, he is professor in visualization at the University of Bergen in Norway, where he built up a new research group on visualization.
