Conference stringclasses 6
values | Year int64 1.99k 2.03k | Title stringlengths 8 187 | DOI stringlengths 16 32 | Abstract stringlengths 128 7.15k ⌀ | Accessible bool 2
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VAST | 2,020 | SilkViser: A Visual Explorer of Blockchain-based Cryptocurrency Transaction Data | 10.1109/VAST50239.2020.00014 | Many blockchain-based cryptocurrencies provide users with online blockchain explorers for viewing online transaction data. However, traditional blockchain explorers mostly present transaction information in textual and tabular forms. Such forms make understanding cryptocurrency transaction mechanisms difficult for novi... | false | false | [
"Zengsheng Zhong",
"Shuirun Wei",
"Yeting Xu",
"Ying Zhao 0001",
"Fangfang Zhou",
"Feng Luo",
"Ronghua Shi"
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VAST | 2,020 | SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization | 10.1109/VAST50239.2020.00015 | Nowadays, as data becomes increasingly complex and distributed, data analyses often involve several related datasets that are stored on different servers and probably owned by different stakeholders. While there is an emerging need to provide these stakeholders with a full picture of their data under a global context, ... | false | false | [
"Jiazhi Xia",
"Tianxiang Chen",
"Lei Zhang",
"Wei Chen 0001",
"Yang Chen",
"Xiaolong Zhang 0001",
"Cong Xie",
"Tobias Schreck"
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VAST | 2,020 | StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics | 10.1109/TVCG.2020.3030352 | In machine learning (ML), ensemble methods-such as bagging, boosting, and stacking-are widely-established approaches that regularly achieve top-notch predictive performance. Stacking (also called “stacked generalization”) is an ensemble method that combines heterogeneous base models, arranged in at least one layer, and... | false | false | [
"Angelos Chatzimparmpas",
"Rafael Messias Martins",
"Kostiantyn Kucher",
"Andreas Kerren"
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VAST | 2,020 | STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data | 10.1109/VAST50239.2020.00012 | Online sampling-supported visual analytics is increasingly important, as it allows users to explore large datasets with acceptable approximate answers at interactive rates. However, existing online spatiotemporal sampling techniques are often biased, as most researchers have primarily focused on reducing computational ... | false | false | [
"Guizhen Wang",
"Jingjing Guo",
"MingJie Tang",
"Jose Florencio de Queiroz Neto",
"Calvin Yau",
"Anas Daghistani",
"Morteza Karimzadeh",
"Walid G. Aref",
"David S. Ebert"
] | [] | [
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] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.13028v1",
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VAST | 2,020 | Supporting the Problem-Solving Loop: Designing Highly Interactive Optimisation Systems | 10.1109/TVCG.2020.3030364 | Efficient optimisation algorithms have become important tools for finding high-quality solutions to hard, real-world problems such as production scheduling, timetabling, or vehicle routing. These algorithms are typically “black boxes” that work on mathematical models of the problem to solve. However, many problems are ... | false | false | [
"Jie Liu",
"Tim Dwyer",
"Guido Tack",
"Samuel Gratzl",
"Kim Marriott"
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"name": "Paper Preprint",
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"url": "https://youtu.be/nT55ocI-73o",
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VAST | 2,020 | TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups | 10.1109/TVCG.2020.3030370 | Tax evasion is a serious economic problem for many countries, as it can undermine the government's tax system and lead to an unfair business competition environment. Recent research has applied data analytics techniques to analyze and detect tax evasion behaviors of individual taxpayers. However, they have failed to su... | false | false | [
"Yating Lin",
"Kamkwai Wong",
"Yong Wang 0021",
"Rong Zhang",
"Bo Dong 0001",
"Huamin Qu",
"Qinghua Zheng"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03179v1",
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VAST | 2,020 | Topology Density Map for Urban Data Visualization and Analysis | 10.1109/TVCG.2020.3030469 | Density map is an effective visualization technique for depicting the scalar field distribution in 2D space. Conventional methods for constructing density maps are mainly based on Euclidean distance, limiting their applicability in urban analysis that shall consider road network and urban traffic. In this work, we prop... | false | false | [
"Zezheng Feng",
"Haotian Li 0001",
"Wei Zeng 0004",
"Shuang-Hua Yang",
"Huamin Qu"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2007.15828v4",
"icon": "paper"
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] |
VAST | 2,020 | Towards Better Bus Networks: A Visual Analytics Approach | 10.1109/TVCG.2020.3030458 | Bus routes are typically updated every 3–5 years to meet constantly changing travel demands. However, identifying deficient bus routes and finding their optimal replacements remain challenging due to the difficulties in analyzing a complex bus network and the large solution space comprising alternative routes. Most of ... | false | false | [
"Di Weng",
"Chengbo Zheng",
"Zikun Deng",
"Mingze Ma",
"Jie Bao 0003",
"Yu Zheng 0004",
"Mingliang Xu",
"Yingcai Wu"
] | [] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.10915v3",
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"name": "Fast Forward",
"url": "https://youtu.be/DEAfK8F2dQE",
"icon": "video"
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] |
VAST | 2,020 | Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics | 10.1109/TVCG.2020.3030334 | Collaborative visual analytics leverages social interaction to support data exploration and sensemaking. These processes are typically imagined as formalised, extended activities, between groups of dedicated experts, requiring expertise with sophisticated data analysis tools. However, there are many professional domain... | false | false | [
"Barrett Ens",
"Sarah Goodwin",
"Arnaud Prouzeau",
"Fraser Anderson",
"Florence Y. Wang",
"Samuel Gratzl",
"Zac Lucarelli",
"Brendan Moyle",
"Jim Smiley",
"Tim Dwyer"
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"name": "Fast Forward",
"url": "https://youtu.be/JrH2dVuxa1I",
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VAST | 2,020 | VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection | 10.1109/TVCG.2020.3030350 | Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Networks (CNNs) and have exhibited promising performance. However, one looming concern with CNN based detectors is how to thoroughly evaluate the p... | false | false | [
"Liang Gou",
"Lincan Zou",
"Nanxiang Li",
"Michael Hofmann 0010",
"Arvind Kumar Shekar",
"Axel Wendt",
"Ren Liu"
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"BP"
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.12975v1",
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VAST | 2,020 | Visilant: Visual Support for the Exploration and Analytical Process Tracking in Criminal Investigations | 10.1109/TVCG.2020.3030356 | The daily routine of criminal investigators consists of a thorough analysis of highly complex and heterogeneous data of crime cases. Such data can consist of case descriptions, testimonies, criminal networks, spatial and temporal information, and virtually any other data that is relevant for the case. Criminal investig... | false | false | [
"Kristína Zákopcanová",
"Marko Rehácek",
"Jozef Bátrna",
"Daniel Plakinger",
"Sergej Stoppel",
"Barbora Kozlíková"
] | [] | [
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"url": "https://youtu.be/xMcE5toAoxY",
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VAST | 2,020 | Visual Abstraction of Geographical Point Data with Spatial Autocorrelations | 10.1109/VAST50239.2020.00011 | Scatterplots are always employed to visualize geographical point datasets, which often suffer from an overdraw problem due to the increase of data sizes. A variety of sampling strategies have been proposed to reduce overdraw and visual clutter with the spatial densities of points taken into account. However, informativ... | false | false | [
"Zhiguang Zhou",
"Xinlong Zhang",
"Zhendong Yang",
"Yuanyuan Chen",
"Yuhua Liu",
"Jin Wen",
"Binjie Chen",
"Ying Zhao 0001",
"Wei Chen 0001"
] | [] | [] | [] |
VAST | 2,020 | Visual Analysis of Argumentation in Essays | 10.1109/TVCG.2020.3030425 | This paper presents a visual analytics system for exploring, analyzing and comparing argument structures in essay corpora. We provide an overview of the corpus by a list of ArguLines which represent the argument units of each essay by a sequence of glyphs. Each glyph encodes the stance, the depth and the relative posit... | false | false | [
"Dora Kiesel",
"Patrick Riehmann",
"Henning Wachsmuth",
"Benno Stein 0001",
"Bernd Fröhlich 0001"
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] | [
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"name": "Fast Forward",
"url": "https://youtu.be/Nongy_HBaM8",
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VAST | 2,020 | Visual Analytics for Temporal Hypergraph Model Exploration | 10.1109/TVCG.2020.3030408 | Many processes, from gene interaction in biology to computer networks to social media, can be modeled more precisely as temporal hypergraphs than by regular graphs. This is because hypergraphs generalize graphs by extending edges to connect any number of vertices, allowing complex relationships to be described more acc... | false | false | [
"Maximilian T. Fischer",
"Devanshu Arya",
"Dirk Streeb",
"Daniel Seebacher",
"Daniel A. Keim",
"Marcel Worring"
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"name": "Fast Forward",
"url": "https://youtu.be/Z1J6RX0W2ao",
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VAST | 2,020 | Visual Analytics of Multivariate Event Sequence Data in Racquet Sports | 10.1109/VAST50239.2020.00009 | In this work, we propose a generic visual analytics framework to support tactic analysis based on data collected from racquet sports (such as tennis and badminton). The proposed approach models each rally in a game as a sequence of hits (i.e., events) until one athlete scores a point. Each hit can be described with a s... | false | false | [
"Jiang Wu",
"Ziyang Guo",
"Zuobin Wang",
"Qingyang Xu",
"Yingcai Wu"
] | [] | [] | [] |
VAST | 2,020 | Visual Causality Analysis of Event Sequence Data | 10.1109/TVCG.2020.3030465 | Causality is crucial to understanding the mechanisms behind complex systems and making decisions that lead to intended outcomes. Event sequence data is widely collected from many real-world processes, such as electronic health records, web clickstreams, and financial transactions, which transmit a great deal of informa... | false | false | [
"Zhuochen Jin",
"Shunan Guo",
"Nan Chen",
"Daniel Weiskopf",
"David Gotz",
"Nan Cao"
] | [] | [
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"url": "http://arxiv.org/pdf/2009.00219v1",
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"name": "Fast Forward",
"url": "https://youtu.be/JWhyQxA7SEg",
"icon": "video"
}
] |
VAST | 2,020 | Visual cohort comparison for spatial single-cell omics-data | 10.1109/TVCG.2020.3030336 | Spatially-resolved omics-data enable researchers to precisely distinguish cell types in tissue and explore their spatial interactions, enabling deep understanding of tissue functionality. To understand what causes or deteriorates a disease and identify related biomarkers, clinical researchers regularly perform large-sc... | false | false | [
"Antonios Somarakis",
"Marieke E. Ijsselsteijn",
"Sietse J. Luk",
"Boyd Kenkhuis",
"Noel F. C. C. de Miranda",
"Boudewijn P. F. Lelieveldt",
"Thomas Höllt"
] | [] | [
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{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2006.05175v2",
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"name": "Fast Forward",
"url": "https://youtu.be/xGFBiyBkm38",
"icon": "video"
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] |
VAST | 2,020 | Visual Neural Decomposition to Explain Multivariate Data Sets | 10.1109/TVCG.2020.3030420 | Investigating relationships between variables in multi-dimensional data sets is a common task for data analysts and engineers. More specifically, it is often valuable to understand which ranges of which input variables lead to particular values of a given target variable. Unfortunately, with an increasing number of ind... | false | false | [
"Johannes Knittel",
"Andrés Lalama",
"Steffen Koch 0001",
"Thomas Ertl"
] | [] | [
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"V"
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.05502v1",
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"name": "Fast Forward",
"url": "https://youtu.be/dD9wY6R_gt0",
"icon": "video"
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] |
VAST | 2,020 | VizCommender: Computing Text-Based Similarity in Visualization Repositories for Content-Based Recommendations | 10.1109/TVCG.2020.3030387 | Cloud-based visualization services have made visual analytics accessible to a much wider audience than ever before. Systems such as Tableau have started to amass increasingly large repositories of analytical knowledge in the form of interactive visualization workbooks. When shared, these collections can form a visual a... | false | false | [
"Michael Oppermann",
"Robert Kincaid",
"Tamara Munzner"
] | [] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.07702v1",
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"name": "Fast Forward",
"url": "https://youtu.be/wp4CWYFAbZw",
"icon": "video"
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SciVis | 2,020 | A Fluid Flow Data Set for Machine Learning and its Application to Neural Flow Map Interpolation | 10.1109/TVCG.2020.3028947 | In recent years, deep learning has opened countless research opportunities across many different disciplines. At present, visualization is mainly applied to explore and explain neural networks. Its counterpart-the application of deep learning to visualization problems-requires us to share data more openly in order to e... | false | false | [
"Jakob Jakob",
"Markus H. Gross",
"Tobias Günther"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/6gKr7YmA0QE",
"icon": "video"
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] |
SciVis | 2,020 | A Suggestive Interface for Untangling Mathematical Knots | 10.1109/TVCG.2020.3028893 | In this paper we present a user-friendly sketching-based suggestive interface for untangling mathematical knots with complicated structures. Rather than treating mathematical knots as if they were 3D ropes, our interface is designed to assist the user to interact with knots with the right sequence of mathematically leg... | false | false | [
"Huan Liu",
"Hui Zhang 0006"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/D0ltvMJteoE",
"icon": "video"
}
] |
SciVis | 2,020 | A Testing Environment for Continuous Colormaps | 10.1109/TVCG.2020.3028955 | Many computer science disciplines (e.g., combinatorial optimization, natural language processing, and information retrieval) use standard or established test suites for evaluating algorithms. In visualization, similar approaches have been adopted in some areas (e.g., volume visualization), while user testimonies and em... | false | false | [
"Pascal Nardini",
"Min Chen 0001",
"Roxana Bujack",
"Michael Böttinger",
"Gerik Scheuermann"
] | [] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.13133v1",
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{
"name": "Fast Forward",
"url": "https://youtu.be/QbWd1Iv7eXc",
"icon": "video"
}
] |
SciVis | 2,020 | A Visualization Framework for Multi-scale Coherent Structures in Taylor-Couette Turbulence | 10.1109/TVCG.2020.3028892 | Taylor-Couette flow (TCF) is the turbulent fluid motion created between two concentric and independently rotating cylinders. It has been heavily researched in fluid mechanics thanks to the various nonlinear dynamical phenomena that are exhibited in the flow. As many dense coherent structures overlap each other in TCF, ... | false | false | [
"Duong B. Nguyen",
"Rodolfo Ostilla Monico",
"Guoning Chen"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/Al7uuUlkCa4",
"icon": "video"
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SciVis | 2,020 | Advanced Rendering of Line Data with Ambient Occlusion and Transparency | 10.1109/TVCG.2020.3028954 | 3D Lines are a widespread rendering primitive for the visualization of data from research fields like fluid dynamics or fiber tractography. Global illumination effects and transparent rendering improve the perception of three-dimensional features and decrease occlusion within the data set, thus enabling better understa... | false | false | [
"David Groß",
"Stefan Gumhold"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/nP6r-ItI8u4",
"icon": "video"
}
] |
SciVis | 2,020 | ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening | 10.1109/TVCG.2020.3030438 | In the modern drug discovery process, medicinal chemists deal with the complexity of analysis of large ensembles of candidate molecules. Computational tools, such as dimensionality reduction (DR) and classification, are commonly used to efficiently process the multidimensional space of features. These underlying calcul... | false | false | [
"María Virginia Sabando",
"Pavol Ulbrich",
"Matias Nicolás Selzer",
"Jan Byska",
"Jan Mican",
"Ignacio Ponzoni",
"Axel J. Soto",
"Maria Luján Ganuza",
"Barbora Kozlíková"
] | [] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.13150v1",
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"name": "Fast Forward",
"url": "https://youtu.be/vKMRGer-pAY",
"icon": "video"
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SciVis | 2,020 | Data-Driven Space-Filling Curves | 10.1109/TVCG.2020.3030473 | Abstract-We propose a data-driven space-filling curve method for 2D and 3D visualization. Our flexible curve traverses the data elements in the spatial domain in a way that the resulting linearization better preserves features in space compared to existing methods. We achieve such data coherency by calculating a Hamilt... | false | false | [
"Liang Zhou 0001",
"Christopher R. Johnson 0001",
"Daniel Weiskopf"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/gEujag3akYw",
"icon": "video"
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SciVis | 2,020 | Deep Volumetric Ambient Occlusion | 10.1109/TVCG.2020.3030344 | We present a novel deep learning based technique for volumetric ambient occlusion in the context of direct volume rendering. Our proposed Deep Volumetric Ambient Occlusion (DVAO) approach can predict per-voxel ambient occlusion in volumetric data sets, while considering global information provided through the transfer ... | false | false | [
"Dominik Engel",
"Timo Ropinski"
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] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.08345v2",
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"name": "Fast Forward",
"url": "https://youtu.be/AMLlnwqGiIU",
"icon": "video"
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SciVis | 2,020 | Direct Volume Rendering with Nonparametric Models of Uncertainty | 10.1109/TVCG.2020.3030394 | We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art statistical DVR framework allows for preserving the transfer function (TF) of the ground truth function when visualizing uncertain data; however, ... | false | false | [
"Tushar M. Athawale",
"Bo Ma 0002",
"Elham Sakhaee",
"Christopher R. Johnson 0001",
"Alireza Entezari"
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.13576v1",
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"name": "Fast Forward",
"url": "https://youtu.be/3R2dlFj5qoc",
"icon": "video"
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SciVis | 2,020 | Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution | 10.1109/TVCG.2020.3030381 | To address the problem of ever-growing scientific data sizes making data movement a major hindrance to analysis, we introduce a novel encoding for scalar fields: a unified tree of resolution and precision, specifically constructed so that valid cuts correspond to sensible approximations of the original field in the pre... | false | false | [
"Duong Hoang",
"Brian Summa",
"Harsh Bhatia",
"Peter Lindstrom 0001",
"Pavol Klacansky",
"Will Usher 0001",
"Peer-Timo Bremer",
"Valerio Pascucci"
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"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/4V6r8RUlrX4",
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SciVis | 2,020 | Extraction and Visualization of Poincare Map Topology for Spacecraft Trajectory Design | 10.1109/TVCG.2020.3030402 | Mission designers must study many dynamical models to plan a low-cost spacecraft trajectory that satisfies mission constraints. They routinely use Poincare maps to search for a suitable path through the interconnected web of periodic orbits and invariant manifolds found in multi-body gravitational systems. This paper i... | false | false | [
"Xavier Tricoche",
"Wayne R. Schlei",
"Kathleen C. Howell"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03454v1",
"icon": "paper"
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SciVis | 2,020 | Homomorphic-Encrypted Volume Rendering | 10.1109/TVCG.2020.3030436 | Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct vol... | false | false | [
"Sebastian Mazza",
"Daniel Patel",
"Ivan Viola"
] | [] | [
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"V"
] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.02122v2",
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"name": "Fast Forward",
"url": "https://youtu.be/v0eO7uXGzG4",
"icon": "video"
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SciVis | 2,020 | Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements | 10.1109/TVCG.2020.3030363 | Researchers in the field of connectomics are working to reconstruct a map of neural connections in the brain in order to understand at a fundamental level how the brain processes information. Constructing this wiring diagram is done by tracing neurons through high-resolution image stacks acquired with fluorescence micr... | false | false | [
"Torin McDonald",
"Will Usher 0001",
"Nathan Morrical",
"Attila Gyulassy",
"Steve Petruzza",
"Frederick Federer",
"Alessandra Angelucci",
"Valerio Pascucci"
] | [] | [
"P",
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.01891v1",
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"name": "Fast Forward",
"url": "https://youtu.be/8l5d6hC_K_4",
"icon": "video"
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SciVis | 2,020 | Interactive Black-Hole Visualization | 10.1109/TVCG.2020.3030452 | We present an efficient algorithm for visualizing the effect of black holes on its distant surroundings as seen from an observer nearby in orbit. Our solution is GPU-based and builds upon a two-step approach, where we first derive an adaptive grid to map the 360-view around the observer to the distorted celestial sky, ... | false | false | [
"Annemieke Verbraeck",
"Elmar Eisemann"
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"HM"
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"V"
] | [
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"name": "Fast Forward",
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SciVis | 2,020 | Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images | 10.1109/TVCG.2020.3030384 | Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images. However, visual analytics tools are lacking for the specific application of x-ray image classification with multiple structural attributes. In this... | false | false | [
"Xinyi Huang",
"Suphanut Jamonnak",
"Ye Zhao 0003",
"Boyu Wang 0001",
"Minh Hoai",
"Kevin G. Yager",
"Wei Xu 0020"
] | [] | [
"P",
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] | [
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"name": "Paper Preprint",
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},
{
"name": "Fast Forward",
"url": "https://youtu.be/GKaNHZPqM6I",
"icon": "video"
}
] |
SciVis | 2,020 | Interactive Visualization of Atmospheric Effects for Celestial Bodies | 10.1109/TVCG.2020.3030333 | We present an atmospheric model tailored for the interactive visualization of planetary surfaces. As the exploration of the solar system is progressing with increasingly accurate missions and instruments, the faithful visualization of planetary environments is gaining increasing interest in space research, mission plan... | false | false | [
"Jonathas Costa",
"Alexander Bock 0002",
"Carter Emmart",
"Charles D. Hansen",
"Anders Ynnerman",
"Cláudio T. Silva"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2010.03534v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/e-JPG3Ki2f4",
"icon": "video"
}
] |
SciVis | 2,020 | IsoTrotter: Visually Guided Empirical Modelling of Atmospheric Convection | 10.1109/TVCG.2020.3030389 | Empirical models, fitted to data from observations, are often used in natural sciences to describe physical behaviour and support discoveries. However, with more complex models, the regression of parameters quickly becomes insufficient, requiring a visual parameter space analysis to understand and optimize the models. ... | false | false | [
"Juraj Pálenik",
"Thomas Spengler",
"Helwig Hauser"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.10301v1",
"icon": "paper"
}
] |
SciVis | 2,020 | Localized Topological Simplification of Scalar Data | 10.1109/TVCG.2020.3030353 | This paper describes a localized algorithm for the topological simplification of scalar data, an essential pre-processing step of topological data analysis (TDA). Given a scalar field $f$ and a selection of extrema to preserve, the proposed localized topological simplification (LTS) derives a function g that is close t... | false | false | [
"Jonas Lukasczyk",
"Christoph Garth",
"Ross Maciejewski",
"Julien Tierny"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.00083v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/bP6zVaBXIlA",
"icon": "video"
}
] |
SciVis | 2,020 | Mode Surfaces of Symmetric Tensor Fields: Topological Analysis and Seamless Extraction | 10.1109/TVCG.2020.3030431 | Mode surfaces are the generalization of degenerate curves and neutral surfaces, which constitute 3D symmetric tensor field topology. Efficient analysis and visualization of mode surfaces can provide additional insight into not only degenerate curves and neutral surfaces, but also how these features transition into each... | false | false | [
"Botong Qu",
"Lawrence Roy",
"Yue Zhang 0009",
"Eugene Zhang"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.04601v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/Q12NMVybRUs",
"icon": "video"
}
] |
SciVis | 2,020 | Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models | 10.1109/TVCG.2020.3030415 | We present a new technique for the rapid modeling and construction of scientifically accurate mesoscale biological models. The resulting 3D models are based on a few 2D microscopy scans and the latest knowledge available about the biological entity, represented as a set of geometric relationships. Our new visual-progra... | false | false | [
"Ngan V. T. Nguyen",
"Ondrej Strnad",
"Tobias Klein",
"Deng Luo",
"Ruwayda Alharbi",
"Peter Wonka",
"Martina Maritan",
"Peter Mindek",
"Ludovic Autin",
"David S. Goodsell",
"Ivan Viola"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2005.01804v1",
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},
{
"name": "Fast Forward",
"url": "https://youtu.be/g0Ks7a-tITQ",
"icon": "video"
}
] |
SciVis | 2,020 | Objective Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows | 10.1109/TVCG.2020.3030454 | Computing and visualizing features in fluid flow often depends on the observer, or reference frame, relative to which the input velocity field is given. A desired property of feature detectors is therefore that they are objective, meaning independent of the input reference frame. However, the standard definition of obj... | false | false | [
"Peter Rautek",
"Matej Mlejnek",
"Johanna Beyer",
"Jakob Troidl",
"Hanspeter Pfister",
"Thomas Theußl",
"Markus Hadwiger"
] | [
"BP"
] | [] | [] |
SciVis | 2,020 | Polyphorm: Structural Analysis of Cosmological Datasets via Interactive Physarum Polycephalum Visualization | 10.1109/TVCG.2020.3030407 | This paper introduces Polyphorm, an interactive visualization and model fitting tool that provides a novel approach for investigating cosmological datasets. Through a fast computational simulation method inspired by the behavior of Physarum polycephalum, an unicellular slime mold organism that efficiently forages for n... | false | false | [
"Oskar Elek",
"Joseph N. Burchett",
"J. Xavier Prochaska",
"Angus G. Forbes"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.02441v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/V_JivWRFJKA",
"icon": "video"
}
] |
SciVis | 2,020 | Ray Tracing Structured AMR Data Using ExaBricks | 10.1109/TVCG.2020.3030470 | Structured Adaptive Mesh Refinement (Structured AMR) enables simulations to adapt the domain resolution to save computation and storage, and has become one of the dominant data representations used by scientific simulations; however, efficiently rendering such data remains a challenge. We present an efficient approach ... | false | false | [
"Ingo Wald",
"Stefan Zellmann",
"Will Usher 0001",
"Nathan Morrical",
"Ulrich Lang 0002",
"Valerio Pascucci"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03076v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/WdieKs0m-gY",
"icon": "video"
}
] |
SciVis | 2,020 | Sea of Genes: A Reflection on Visualising Metagenomic Data for Museums | 10.1109/TVCG.2020.3030412 | We examine the process of designing an exhibit to communicate scientific findings from a complex dataset and unfamiliar domain to the public in a science museum. Our exhibit sought to communicate new lessons based on scientific findings from the domain of metagenomics. This multi-user exhibit had three goals: (1) to in... | false | false | [
"Keshav Dasu",
"Kwan-Liu Ma",
"Joyce Ma",
"Jennifer Frazier"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/r8cFMh0Ze8I",
"icon": "video"
}
] |
SciVis | 2,020 | The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms | 10.1109/TVCG.2020.3030451 | In this paper, we present a novel data structure, called the Mixture Graph. This data structure allows us to compress, render, and query segmentation histograms. Such histograms arise when building a mipmap of a volume containing segmentation IDs. Each voxel in the histogram mipmap contains a convex combination (mixtur... | false | false | [
"Khaled A. Al-Thelaya",
"Marco Agus",
"Jens Schneider 0002"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.02702v1",
"icon": "paper"
}
] |
SciVis | 2,020 | TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data | 10.1109/TVCG.2020.3030441 | Multidimensional Projection is a fundamental tool for high-dimensional data analytics and visualization. With very few exceptions, projection techniques are designed to map data from a high-dimensional space to a visual space so as to preserve some dissimilarity (similarity) measure, such as the Euclidean distance for ... | false | false | [
"Harish Doraiswamy",
"Julien Tierny",
"Paulo J. S. Silva",
"Luis Gustavo Nonato",
"Cláudio T. Silva"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.01512v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/2HeB4z_bsOA",
"icon": "video"
}
] |
SciVis | 2,020 | Uncertainty in Continuous Scatterplots, Continuous Parallel Coordinates, and Fibers | 10.1109/TVCG.2020.3030466 | In this paper, we introduce uncertainty to continuous scatterplots and continuous parallel coordinates. We derive respective models, validate them with sampling-based brute-force schemes, and present acceleration strategies for their computation. At the same time, we show that our approach lends itself as well for intr... | false | false | [
"Boyan Zheng",
"Filip Sadlo"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/fcOvkYSbExY",
"icon": "video"
}
] |
SciVis | 2,020 | Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading | 10.1109/TVCG.2020.3030377 | As an important method of handling potential uncertainties in numerical simulations, ensemble simulation has been widely applied in many disciplines. Visualization is a promising and powerful ensemble simulation analysis method. However, conventional visualization methods mainly aim at data simplification and highlight... | false | false | [
"Mingdong Zhang",
"Li Chen",
"Quan Li",
"Xiaoru Yuan",
"Junhai Yong"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2011.01497v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/nP0jC8QnHHY",
"icon": "video"
}
] |
SciVis | 2,020 | V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data | 10.1109/TVCG.2020.3030346 | We present V2V, a novel deep learning framework, as a general-purpose solution to the variable-to-variable (V2V) selection and translation problem for multivariate time-varying data (MTVD) analysis and visualization. V2V leverages a representation learning algorithm to identify transferable variables and utilizes Kullb... | false | false | [
"Jun Han 0010",
"Hao Zheng 0006",
"Yunhao Xing",
"Danny Ziyi Chen",
"Chaoli Wang 0001"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/OsX3v4aUONE",
"icon": "video"
}
] |
SciVis | 2,020 | VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data | 10.1109/TVCG.2020.3030374 | The fundamental motivation of the proposed work is to present a new visualization-guided computing paradigm to combine direct 3D volume processing and volume rendered clues for effective 3D exploration. For example, extracting and visualizing microstructures in-vivo have been a long-standing challenging problem. Howeve... | false | false | [
"Yifan Wang",
"Guoli Yan",
"Haikuan Zhu",
"Sagar Buch",
"Ying Wang 0060",
"E. Mark Haacke",
"Jing Hua 0001",
"Zichun Zhong"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.06184v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/aF7PxeHloDs",
"icon": "video"
}
] |
SciVis | 2,020 | Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries | 10.1109/TVCG.2020.3030379 | Rapidly growing data sizes of scientific simulations pose significant challenges for interactive visualization and analysis techniques. In this work, we propose a compact probabilistic representation to interactively visualize large scattered datasets. In contrast to previous approaches that represent blocks of volumet... | false | false | [
"Tobias Rapp",
"Christoph Peters 0002",
"Carsten Dachsbacher"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.09544v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/qbXFFvO9Y1M",
"icon": "video"
}
] |
SciVis | 2,020 | Visualization of Human Spine Biomechanics for Spinal Surgery | 10.1109/TVCG.2020.3030388 | We propose a visualization application, designed for the exploration of human spine simulation data. Our goal is to support research in biomechanical spine simulation and advance efforts to implement simulation-backed analysis in surgical applications. Biomechanical simulation is a state-of-the-art technique for analyz... | false | false | [
"Pepe Eulzer",
"Sabine Bauer 0001",
"Francis Kilian",
"Kai Lawonn"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.11148v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/PvH4suYfU-o",
"icon": "video"
}
] |
InfoVis | 2,020 | A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations | 10.1109/TVCG.2020.3029412 | Understanding correlation judgement is important to designing effective visualizations of bivariate data. Prior work on correlation perception has not considered how factors including prior beliefs and uncertainty representation impact such judgements. The present work focuses on the impact of uncertainty communication... | false | false | [
"Alireza Karduni",
"Douglas Markant",
"Ryan Wesslen",
"Wenwen Dou"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.00058v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | A Design Space of Vision Science Methods for Visualization Research | 10.1109/TVCG.2020.3029413 | A growing number of efforts aim to understand what people see when using a visualization. These efforts provide scientific grounding to complement design intuitions, leading to more effective visualization practice. However, published visualization research currently reflects a limited set of available methods for unde... | false | false | [
"Madison A. Elliott",
"Christine Nothelfer",
"Cindy Xiong",
"Danielle Albers Szafir"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.06855v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/v6bJwsHxRLY",
"icon": "video"
}
] |
InfoVis | 2,020 | A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling | 10.1109/TVCG.2020.3028948 | Small multiples are miniature representations of visual information used generically across many domains. Handling large numbers of small multiples imposes challenges on many analytic tasks like inspection, comparison, navigation, or annotation. To address these challenges, we developed a framework and implemented a li... | false | false | [
"Fritz Lekschas",
"Xinyi Zhou 0005",
"Wei Chen 0001",
"Nils Gehlenborg",
"Benjamin Bach",
"Hanspeter Pfister"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2005.00595v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/mojW-9Mc2qs",
"icon": "video"
}
] |
InfoVis | 2,020 | A Simple Pipeline for Coherent Grid Maps | 10.1109/TVCG.2020.3028953 | Grid maps are spatial arrangements of simple tiles (often squares or hexagons), each of which represents a spatial element. They are an established, effective way to show complex data per spatial element, using visual encodings within each tile ranging from simple coloring to nested small-multiples visualizations. An e... | false | false | [
"Wouter Meulemans",
"Max Sondag",
"Bettina Speckmann"
] | [
"HM"
] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/ve7qn0VDyUg",
"icon": "video"
}
] |
InfoVis | 2,020 | A Structured Review of Data Management Technology for Interactive Visualization and Analysis | 10.1109/TVCG.2020.3028891 | In the last two decades, interactive visualization and analysis have become a central tool in data-driven decision making. Concurrently to the contributions in data visualization, research in data management has produced technology that directly benefits interactive analysis. Here, we contribute a systematic review of ... | false | false | [
"Leilani Battle",
"Carlos Scheidegger"
] | [] | [] | [] |
InfoVis | 2,020 | A Survey of Text Alignment Visualization | 10.1109/TVCG.2020.3028975 | Text alignment is one of the fundamental techniques text-related domains like natural language processing, computational linguistics, and digital humanities. It compares two or more texts with each other aiming to find similar textual patterns, or to estimate in general how different or similar the texts are. Visualizi... | false | false | [
"Tariq Yousef",
"Stefan Jänicke"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/iM3vrZRYAfE",
"icon": "video"
}
] |
InfoVis | 2,020 | Bayesian-Assisted Inference from Visualized Data | 10.1109/TVCG.2020.3028984 | A Bayesian view of data interpretation suggests that a visualization user should update their existing beliefs about a parameter's value in accordance with the amount of information about the parameter value captured by the new observations. Extending recent work applying Bayesian models to understand and evaluate beli... | false | false | [
"Yea-Seul Kim",
"Paula Kayongo",
"Madeleine Grunde-McLaughlin",
"Jessica Hullman"
] | [] | [] | [] |
InfoVis | 2,020 | Calliope: Automatic Visual Data Story Generation from a Spreadsheet | 10.1109/TVCG.2020.3030403 | Visual data stories shown in the form of narrative visualizations such as a poster or a data video, are frequently used in data-oriented storytelling to facilitate the understanding and memorization of the story content. Although useful, technique barriers, such as data analysis, visualization, and scripting, make the ... | false | false | [
"Danqing Shi",
"Xinyue Xu",
"Fuling Sun",
"Yang Shi 0007",
"Nan Cao"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2010.09975v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Cartographic Relief Shading with Neural Networks | 10.1109/TVCG.2020.3030456 | Shaded relief is an effective method for visualising terrain on topographic maps, especially when the direction of illumination is adapted locally to emphasise individual terrain features. However, digital shading algorithms are unable to fully match the expressiveness of hand-crafted masterpieces, which are created th... | false | false | [
"Bernhard Jenny",
"Magnus Heitzler",
"Dilpreet Singh",
"Marianna Farmakis-Serebryakova",
"Jeffery Chieh Liu",
"Lorenz Hurni"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2010.01256v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Chartem: Reviving Chart Images with Data Embedding | 10.1109/TVCG.2020.3030351 | In practice, charts are widely stored as bitmap images. Although easily consumed by humans, they are not convenient for other uses. For example, changing the chart style or type or a data value in a chart image practically requires creating a completely new chart, which is often a time-consuming and error-prone process... | false | false | [
"Jiayun Fu",
"Bin Zhu",
"Weiwei Cui",
"Song Ge",
"Yun Wang 0012",
"Haidong Zhang",
"He Huang",
"Yuanyuan Tang",
"Dongmei Zhang 0001",
"Xiaojing Ma 0002"
] | [] | [] | [] |
InfoVis | 2,020 | Chemicals in the Creek: designing a situated data physicalization of open government data with the community | 10.1109/TVCG.2020.3030472 | Over the last decade growing amounts of government data have been made available in an attempt to increase transparency and civic participation, but it is unclear if this data serves non-expert communities due to gaps in access and the technical knowledge needed to interpret this “open” data. We conducted a two-year de... | false | false | [
"Laura J. Perovich",
"Sara Ann Wylie",
"Roseann Bongiovanni"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.06155v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Communicative Visualizations as a Learning Problem | 10.1109/TVCG.2020.3030375 | Significant research has provided robust task and evaluation languages for the analysis of exploratory visualizations. Unfortunately, these taxonomies fail when applied to communicative visualizations. Instead, designers often resort to evaluating communicative visualizations from the cognitive efficiency perspective: ... | false | false | [
"Eytan Adar",
"Elsie Lee-Robbins"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.07095v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Comparative Layouts Revisited: Design Space, Guidelines, and Future Directions | 10.1109/TVCG.2020.3030419 | We present a systematic review on three comparative layouts-juxtaposition, superposition, and explicit-encoding-which are information visualization (InfoVis) layouts designed to support comparison tasks. For the last decade, these layouts have served as fundamental idioms in designing many visualization systems. Howeve... | false | false | [
"Sehi L'Yi",
"Jaemin Jo",
"Jinwook Seo"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.00192v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/nFY0g_pqGUg",
"icon": "video"
}
] |
InfoVis | 2,020 | Composition and Configuration Patterns in Multiple-View Visualizations | 10.1109/TVCG.2020.3030338 | Multiple-view visualization (MV) is a layout design technique often employed to help users see a large number of data attributes and values in a single cohesive representation. Because of its generalizability, the MV design has been widely adopted by the visualization community to help users examine and interact with l... | false | false | [
"Xi Chen",
"Wei Zeng 0004",
"Yanna Lin",
"Hayder Al-Maneea",
"Jonathan Roberts 0002",
"Remco Chang"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2007.15407v2",
"icon": "paper"
}
] |
InfoVis | 2,020 | Context-aware Sampling of Large Networks via Graph Representation Learning | 10.1109/TVCG.2020.3030440 | Numerous sampling strategies have been proposed to simplify large-scale networks for highly readable visualizations. It is of great challenge to preserve contextual structures formed by nodes and edges with tight relationships in a sampled graph, because they are easily overlooked during the process of sampling due to ... | false | false | [
"Zhiguang Zhou",
"Chen Shi",
"Xilong Shen",
"Lihong Cai",
"Haoxuan Wang",
"Yuhua Liu",
"Ying Zhao 0001",
"Wei Chen 0001"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/ZvQ5-LcZV7w",
"icon": "video"
}
] |
InfoVis | 2,020 | Data Comics for Reporting Controlled User Studies in Human-Computer Interaction | 10.1109/TVCG.2020.3030433 | Inspired by data comics, this paper introduces a novel format for reporting controlled studies in the domain of human-computer interaction (HCI). While many studies in HCI follow similar steps in explaining hypotheses, laying out a study design, and reporting results, many of these decisions are buried in blocks of den... | false | false | [
"Zezhong Wang 0001",
"Jacob Ritchie",
"Jingtao Zhou",
"Fanny Chevalier",
"Benjamin Bach"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "https://osf.io/unmyj",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/rscjCYCdEzk",
"icon": "video"
}
] |
InfoVis | 2,020 | Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality | 10.1109/TVCG.2020.3030435 | A fundamental part of data visualization is transforming data to map abstract information onto visual attributes. While this abstraction is a powerful basis for data visualization, the connection between the representation and the original underlying data (i.e., what the quantities and measurements actually correspond ... | false | false | [
"Benjamin Lee",
"Dave Brown",
"Bongshin Lee",
"Christophe Hurter",
"Steven Mark Drucker",
"Tim Dwyer"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.00059v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/C3q5XhdanXk",
"icon": "video"
}
] |
InfoVis | 2,020 | Designing Narrative-Focused Role-Playing Games for Visualization Literacy in Young Children | 10.1109/TVCG.2020.3030464 | Building on game design and education research, this paper introduces narrative-focused role-playing games as a way to promote visualization literacy in young children. Visualization literacy skills are vital in understanding the world around us and constructing meaningful visualizations, yet, how to better develop the... | false | false | [
"Elaine Huynh",
"Angela Nyhout",
"Patricia Ganea",
"Fanny Chevalier"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.13749v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/VWl3KkLSmuQ",
"icon": "video"
}
] |
InfoVis | 2,020 | DRGraph: An Efficient Graph Layout Algorithm for Large-scale Graphs by Dimensionality Reduction | 10.1109/TVCG.2020.3030447 | Efficient layout of large-scale graphs remains a challenging problem: the force-directed and dimensionality reduction-based methods suffer from high overhead for graph distance and gradient computation. In this paper, we present a new graph layout algorithm, called DRGraph, that enhances the nonlinear dimensionality re... | false | false | [
"Min-Feng Zhu",
"Wei Chen 0001",
"Yuanzhe Hu",
"Yuxuan Hou",
"Liangjun Liu",
"Kaiyuan Zhang 0002"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.07799v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Embodied Navigation in Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D Scatterplots? | 10.1109/TVCG.2020.3030427 | Abstract data has no natural scale and so interactive data visualizations must provide techniques to allow the user to choose their viewpoint and scale. Such techniques are well established in desktop visualization tools. The two most common techniques are zoom+pan and overview+detail. However, how best to enable the a... | false | false | [
"Yalong Yang 0001",
"Maxime Cordeil",
"Johanna Beyer",
"Tim Dwyer",
"Kim Marriott",
"Hanspeter Pfister"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.09941v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/LnC0YWbz7SI",
"icon": "video"
}
] |
InfoVis | 2,020 | Exemplar-based Layout Fine-tuning for Node-link Diagrams | 10.1109/TVCG.2020.3030393 | We design and evaluate a novel layout fine-tuning technique for node-link diagrams that facilitates exemplar-based adjustment of a group of substructures in batching mode. The key idea is to transfer user modifications on a local substructure to other substructures in the entire graph that are topologically similar to ... | false | false | [
"Jiacheng Pan",
"Wei Chen 0001",
"Xiaodong Zhao",
"Shuyue Zhou",
"Wei Zeng 0004",
"Min-Feng Zhu",
"Jian Chen 0006",
"Siwei Fu",
"Yingcai Wu"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/FdYxjdApGAM",
"icon": "video"
}
] |
InfoVis | 2,020 | Gemini: A Grammar and Recommender System for Animated Transitions in Statistical Graphics | 10.1109/TVCG.2020.3030360 | Animated transitions help viewers follow changes between related visualizations. Specifying effective animations demands significant effort: authors must select the elements and properties to animate, provide transition parameters, and coordinate the timing of stages. To facilitate this process, we present Gemini, a de... | false | false | [
"Younghoon Kim",
"Jeffrey Heer"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.01429v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Guidelines For Pursuing and Revealing Data Abstractions | 10.1109/TVCG.2020.3030355 | Many data abstraction types, such as networks or set relationships, remain unfamiliar to data workers beyond the visualization research community. We conduct a survey and series of interviews about how people describe their data, either directly or indirectly. We refer to the latter as latent data abstractions. We cond... | false | false | [
"Alex Bigelow",
"Katy Williams",
"Katherine E. Isaacs"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2005.04058v2",
"icon": "paper"
}
] |
InfoVis | 2,020 | Humane Visual AI: Telling the Stories Behind a Medical Condition | 10.1109/TVCG.2020.3030391 | A biological understanding is key for managing medical conditions, yet psychological and social aspects matter too. The main problem is that these two aspects are hard to quantify and inherently difficult to communicate. To quantify psychological aspects, this work mined around half a million Reddit posts in the sub-co... | false | false | [
"Wonyoung So",
"Edyta Paulina Bogucka",
"Sanja Scepanovic",
"Sagar Joglekar 0001",
"Ke Zhou 0003",
"Daniele Quercia"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2010.06296v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Implicit Multidimensional Projection of Local Subspaces | 10.1109/TVCG.2020.3030368 | We propose a visualization method to understand the effect of multidimensional projection on local subspaces, using implicit function differentiation. Here, we understand the local subspace as the multidimensional local neighborhood of data points. Existing methods focus on the projection of multidimensional data point... | false | false | [
"Rongzheng Bian",
"Yumeng Xue",
"Liang Zhou 0001",
"Jian Zhang 0070",
"Baoquan Chen",
"Daniel Weiskopf",
"Yunhai Wang"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03259v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/QZsMyOMHJmY",
"icon": "video"
}
] |
InfoVis | 2,020 | Insights From Experiments With Rigor in an EvoBio Design Study | 10.1109/TVCG.2020.3030405 | Design study is an established approach of conducting problem-driven visualization research. The academic visualization community has produced a large body of work for reporting on design studies, informed by a handful of theoretical frameworks, and applied to a broad range of application areas. The result is an abunda... | false | false | [
"Jennifer Rogers",
"Austin H. Patton",
"Luke Harmon",
"Alexander Lex",
"Miriah D. Meyer"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.11564v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research | 10.1109/TVCG.2020.3030426 | Information visualization (infovis) is a powerful tool for exploring rich datasets. Within humanistic research, rich qualitative data and domain culture make traditional infovis approaches appear reductive and disconnected, leading to low adoption. In this paper, we use a multi-step approach to scrutinize the relations... | false | false | [
"Houda Lamqaddam",
"Andrew Vande Moere",
"Vero Vanden Abeele",
"Koenraad Brosens",
"Katrien Verbert"
] | [] | [] | [] |
InfoVis | 2,020 | Investigating Visual Analysis of Differentially Private Data | 10.1109/TVCG.2020.3030369 | Differential Privacy is an emerging privacy model with increasing popularity in many domains. It functions by adding carefully calibrated noise to data that blurs information about individuals while preserving overall statistics about the population. Theoretically, it is possible to produce robust privacy-preserving vi... | false | false | [
"Dan Zhang",
"Ali Sarvghad",
"Gerome Miklau"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/bI2dRiKFxck",
"icon": "video"
}
] |
InfoVis | 2,020 | Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data | 10.1109/TVCG.2020.3030372 | Static scatterplots often suffer from the overdraw problem on big datasets where object overlap causes undesirable visual clutter. The use of zooming in scatterplots can help alleviate this problem. With multiple zoom levels, more screen real estate is available, allowing objects to be placed in a less crowded way. We ... | false | false | [
"Wenbo Tao",
"Xinli Hou",
"Adam Sah",
"Leilani Battle",
"Remco Chang",
"Michael Stonebraker"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2007.15904v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/LF6MYsdWn9c",
"icon": "video"
}
] |
InfoVis | 2,020 | Lyra 2: Designing Interactive Visualizations by Demonstration | 10.1109/TVCG.2020.3030367 | Recent graphical interfaces offer direct manipulation mechanisms for authoring visualizations, but are largely restricted to static output. To author interactive visualizations, users must instead turn to textual specification, but such approaches impose a higher technical burden. To bridge this gap, we introduce Lyra ... | false | false | [
"Jonathan Zong",
"Dhiraj Barnwal",
"Rupayan Neogy",
"Arvind Satyanarayan"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.09576v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/S7IAGCM33Fw",
"icon": "video"
}
] |
InfoVis | 2,020 | MetroSets: Visualizing Sets as Metro Maps | 10.1109/TVCG.2020.3030475 | We propose MetroSets, a new, flexible online tool for visualizing set systems using the metro map metaphor. We model a given set system as a hypergraph $\mathcal{H}=(V,\ \mathcal{S})$, consisting of a set $V$ of vertices and a set $\mathcal{S}$, which contains subsets of $V$ called hyperedges. Our system then computes ... | false | false | [
"Ben Jacobsen",
"Markus Wallinger",
"Stephen G. Kobourov",
"Martin Nöllenburg"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.09367v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/FN-xYlByE64",
"icon": "video"
}
] |
InfoVis | 2,020 | MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework | 10.1109/TVCG.2020.3030423 | We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly. Although mobile devices have become the primary means of accessing information on the web, many existing visualizations are not optimized for small screens and can lead to a frustrating user experience. Currently, practitioners and ... | false | false | [
"Aoyu Wu",
"Wai Tong",
"Tim Dwyer",
"Bongshin Lee",
"Petra Isenberg",
"Huamin Qu"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.06678v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology | 10.1109/TVCG.2020.3030365 | Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of visual separation of clusters. For visualization designers, optimizing the visual encodings is crucial to maximizing the clarity of data. T... | false | false | [
"Ghulam Jilani Quadri",
"Paul Rosen 0001"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2007.13872v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/hJ1P6fbtwsU",
"icon": "video"
}
] |
InfoVis | 2,020 | Multi-Perspective, Simultaneous Embedding | 10.1109/TVCG.2020.3030373 | We describe MPSE: a Multi-Perspective Simultaneous Embedding method for visualizing high-dimensional data, based on multiple pairwise distances between the data points. Specifically, MPSE computes positions for the points in 3D and provides different views into the data by means of 2D projections (planes) that preserve... | false | false | [
"Md. Iqbal Hossain",
"Vahan Huroyan",
"Stephen G. Kobourov",
"Raymundo Navarrete"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/a6JWYd2rXwI",
"icon": "video"
}
] |
InfoVis | 2,020 | NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries | 10.1109/TVCG.2020.3030378 | Natural language interfaces (NLls) have shown great promise for visual data analysis, allowing people to flexibly specify and interact with visualizations. However, developing visualization NLIs remains a challenging task, requiring low-level implementation of natural language processing (NLP) techniques as well as kno... | false | false | [
"Arpit Narechania",
"Arjun Srinivasan",
"John T. Stasko"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.10723v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/mHsvQLw7xpQ",
"icon": "video"
}
] |
InfoVis | 2,020 | No mark is an island: Precision and category repulsion biases in data reproductions | 10.1109/TVCG.2020.3030345 | Data visualization is powerful in large part because it facilitates visual extraction of values. Yet, existing measures of perceptual precision for data channels (e.g., position, length, orientation, etc.) are based largely on verbal reports of ratio judgments between two values (e.g., [7]). Verbal report conflates mul... | false | false | [
"Caitlyn M. McColeman",
"Lane Harrison",
"Mi Feng",
"Steven Franconeri"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/OItjd5sPxBg",
"icon": "video"
}
] |
InfoVis | 2,020 | Palettailor: Discriminable Colorization for Categorical Data | 10.1109/TVCG.2020.3030406 | We present an integrated approach for creating and assigning color palettes to different visualizations such as multi-class scatterplots, line, and bar charts. While other methods separate the creation of colors from their assignment, our approach takes data characteristics into account to produce color palettes, which... | false | false | [
"Kecheng Lu",
"Mi Feng",
"Xin Chen",
"Michael Sedlmair",
"Oliver Deussen",
"Dani Lischinski",
"Zhanglin Cheng",
"Yunhai Wang"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.02969v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/L_8mE_xTf1c",
"icon": "video"
}
] |
InfoVis | 2,020 | Personal Augmented Reality for Information Visualization on Large Interactive Displays | 10.1109/TVCG.2020.3030460 | In this work we propose the combination of large interactive displays with personal head-mounted Augmented Reality (AR) for information visualization to facilitate data exploration and analysis. Even though large displays provide more display space, they are challenging with regard to perception, effective multi-user s... | false | false | [
"Patrick Reipschläger",
"Tamara Flemisch",
"Raimund Dachselt"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03237v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/xVZ0h5fSBqg",
"icon": "video"
}
] |
InfoVis | 2,020 | PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning | 10.1109/TVCG.2020.3030467 | Storyline visualizations are an effective means to present the evolution of plots and reveal the scenic interactions among characters. However, the design of storyline visualizations is a difficult task as users need to balance between aesthetic goals and narrative constraints. Despite that the optimization-based metho... | false | false | [
"Tan Tang",
"Renzhong Li",
"Xinke Wu",
"Shuhan Liu",
"Johannes Knittel",
"Steffen Koch 0001",
"Lingyun Yu 0001",
"Peiran Ren",
"Thomas Ertl",
"Yingcai Wu"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.00249v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement | 10.1109/TVCG.2020.3030424 | Adapting dashboard design to different contexts of use is an open question in visualisation research. Dashboard designers often seek to strike a balance between dashboard adaptability and ease-of-use, and in hospitals challenges arise from the vast diversity of key metrics, data models and users involved at different o... | false | false | [
"Mai El-Shehaly",
"Rebecca Randell",
"Matthew Brehmer",
"Lynn McVey",
"Natasha Alvarado",
"Chris Gale",
"Roy A. Ruddle"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03002v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference | 10.1109/TVCG.2020.3030439 | Color mapping is a foundational technique for visualizing scalar data. Prior literature offers guidelines for effective colormap design, such as emphasizing luminance variation while limiting changes in hue. However, empirical studies of color are largely focused on perceptual tasks. This narrow focus inhibits our unde... | false | false | [
"Khairi Reda",
"Danielle Albers Szafir"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "https://osf.io/avwrs",
"icon": "paper"
}
] |
InfoVis | 2,020 | Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs | 10.1109/TVCG.2020.3030371 | Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariate graphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose responsive matrix cells as a focus+context approach for embedding ad... | false | false | [
"Tom Horak",
"Philip Berger",
"Heidrun Schumann",
"Raimund Dachselt",
"Christian Tominski"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03385v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/4ibZT9_UE-o",
"icon": "video"
}
] |
InfoVis | 2,020 | Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics | 10.1109/TVCG.2020.3030448 | Infographic is a data visualization technique which combines graphic and textual descriptions in an aesthetic and effective manner. Creating infographics is a difficult and time-consuming process which often requires significant attempts and adjustments even for experienced designers, not to mention novice users with l... | false | false | [
"Chunyao Qian",
"Shizhao Sun",
"Weiwei Cui",
"Jian-Guang Lou",
"Haidong Zhang",
"Dongmei Zhang 0001"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.01177v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Revealing Perceptual Proxies with Adversarial Examples | 10.1109/TVCG.2020.3030429 | Data visualizations convert numbers into visual marks so that our visual system can extract data from an image instead of raw numbers. Clearly, the visual system does not compute these values as a computer would, as an arithmetic mean or a correlation. Instead, it extracts these patterns using perceptual proxies; heuri... | false | false | [
"Brian D. Ondov",
"Fumeng Yang",
"Matthew Kay 0001",
"Niklas Elmqvist",
"Steven Franconeri"
] | [] | [] | [] |
InfoVis | 2,020 | Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes | 10.1109/TVCG.2020.3030400 | Ubiquitous, situated, and physical visualizations create entirely new possibilities for tasks contextualized in the real world, such as doctors inserting needles. During the development of situated visualizations, evaluating visualizations is a core requirement. However, performing such evaluations is intrinsically har... | false | false | [
"Maximilian Weiß",
"Katrin Angerbauer",
"Alexandra Voit",
"Magdalena Schwarzl",
"Michael Sedlmair",
"Sven Mayer"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/gs6BCWhwQpI",
"icon": "video"
}
] |
InfoVis | 2,020 | SafetyLens: Visual Data Analysis of Functional Safety of Vehicles | 10.1109/TVCG.2020.3030382 | Modern automobiles have evolved from just being mechanical machines to having full-fledged electronics systems that enhance vehicle dynamics and driver experience. However, these complex hardware and software systems, if not properly designed, can experience failures that can compromise the safety of the vehicle, its o... | false | false | [
"Arpit Narechania",
"Ahsan Qamar",
"Alex Endert"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2007.15832v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/z4Bwo1v4Xhk",
"icon": "video"
}
] |
InfoVis | 2,020 | Scalability of Network Visualisation from a Cognitive Load Perspective | 10.1109/TVCG.2020.3030459 | Node-link diagrams are widely used to visualise networks. However, even the best network layout algorithms ultimately result in ‘hairball’ visualisations when the graph reaches a certain degree of complexity, requiring simplification through aggregation or interaction (such as filtering) to remain usable. Until now, th... | false | false | [
"Vahan Yoghourdjian",
"Yalong Yang 0001",
"Tim Dwyer",
"Lawrence Lee",
"Michael Wybrow",
"Kim Marriott"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2008.07944v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/BH14iZqlZVI",
"icon": "video"
}
] |
InfoVis | 2,020 | Semantic Discriminability for Visual Communication | 10.1109/TVCG.2020.3030434 | To interpret information visualizations, observers must determine how visual features map onto concepts. First and foremost, this ability depends on perceptual discriminability; observers must be able to see the difference between different colors for those colors to communicate different meanings. However, the ability... | false | false | [
"Karen B. Schloss",
"Zachary Leggon",
"Laurent Lessard"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2009.03171v1",
"icon": "paper"
}
] |
InfoVis | 2,020 | Sequence Braiding: Visual Overviews of Temporal Event Sequences and Attributes | 10.1109/TVCG.2020.3030442 | Temporal event sequence alignment has been used in many domains to visualize nuanced changes and interactions over time. Existing approaches align one or two sentinel events. Overview tasks require examining all alignments of interest using interaction and time or juxtaposition of many visualizations. Furthermore, any ... | false | false | [
"Sara Di Bartolomeo",
"Yixuan Zhang",
"Fangfang Sheng",
"Cody Dunne"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "https://osf.io/mq2wt",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/dPBnoCoGdq4",
"icon": "video"
}
] |
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