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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CHI | 2,024 | WAVE: Anticipatory Movement Visualization for VR Dancing | 10.1145/3613904.3642145 | Dance games are one of the most popular game genres in Virtual Reality (VR), and active dance communities have emerged on social VR platforms such as VR Chat. However, effective instruction of dancing in VR or through other computerized means remains an unsolved human-computer interaction problem. Existing approaches e... | false | false | [
"Markus Laattala",
"Roosa Piitulainen",
"Nadia M. Ady",
"Monica Tamariz",
"Perttu Hämäläinen"
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CHI | 2,024 | When the Body Became Data: Historical Data Cultures and Anatomical Illustration | 10.1145/3613904.3642056 | With changing attitudes around knowledge, medicine, art, and technology, the human body has become a source of information and, ultimately, shareable and analyzable data. Centuries of illustrations and visualizations of the body occur within particular historical, social, and political contexts. These contexts are enme... | false | false | [
"Michael Correll",
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Vis | 2,023 | 2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality | 10.1109/TVCG.2023.3327402 | Relational information between different types of entities is often modelled by a multilayer network (MLN) – a network with subnetworks represented by layers. The layers of an MLN can be arranged in different ways in a visual representation, however, the impact of the arrangement on the readability of the network is an... | false | false | [
"Stefan P. Feyer",
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"Stephen G. Kobourov",
"Nicolas Brich",
"Michael Krone",
"Andreas Kerren",
"Michael Behrisch 0001",
"Falk Schreiber",
"Karsten Klein 0001"
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Vis | 2,023 | A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations | 10.1109/TVCG.2023.3326592 | Color maps are a commonly used visualization technique in which data are mapped to optical properties, e.g., color or opacity. Color maps, however, do not explicitly convey structures (e.g., positions and scale of features) within data. Topology-based visualizations reveal and explicitly communicate structures underlyi... | false | false | [
"Tushar M. Athawale",
"Bryan Triana",
"Tanmay Kotha",
"Dave Pugmire",
"Paul Rosen 0001"
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Vis | 2,023 | A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization | 10.1109/TVCG.2023.3326921 | Evolutionary multi-objective optimization (EMO) algorithms have been demonstrated to be effective in solving multi-criteria decision-making problems. In real-world applications, analysts often employ several algorithms concurrently and compare their solution sets to gain insight into the characteristics of different al... | false | false | [
"Yansong Huang",
"Zherui Zhang",
"Ao Jiao",
"Yuxin Ma",
"Ran Cheng"
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Vis | 2,023 | A Computational Design Pipeline to Fabricate Sensing Network Physicalizations | 10.1109/TVCG.2023.3327198 | Interaction is critical for data analysis and sensemaking. However, designing interactive physicalizations is challenging as it requires cross-disciplinary knowledge in visualization, fabrication, and electronics. Interactive physicalizations are typically produced in an unstructured manner, resulting in unique solutio... | false | false | [
"S. Sandra Bae",
"Takanori Fujiwara",
"Anders Ynnerman",
"Ellen Yi-Luen Do",
"Michael L. Rivera",
"Danielle Albers Szafir"
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Vis | 2,023 | A General Framework for Progressive Data Compression and Retrieval | 10.1109/TVCG.2023.3327186 | In scientific simulations, observations, and experiments, the transfer of data to and from disk and across networks has become a major bottleneck for data analysis and visualization. Compression techniques have been employed to tackle this challenge, but traditional lossy methods often demand conservative error toleran... | false | false | [
"Victor Antonio Paludetto Magri",
"Peter Lindstrom 0001"
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Vis | 2,023 | A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics | 10.1109/TVCG.2023.3327152 | Guidance can support users during the exploration and analysis of complex data. Previous research focused on characterizing the theoretical aspects of guidance in visual analytics and implementing guidance in different scenarios. However, the evaluation of guidance-enhanced visual analytics solutions remains an open re... | false | false | [
"Davide Ceneda",
"Christopher Collins 0001",
"Mennatallah El-Assady",
"Silvia Miksch",
"Christian Tominski",
"Alessio Arleo"
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Vis | 2,023 | A Local Iterative Approach for the Extraction of 2D Manifolds from Strongly Curved and Folded Thin-Layer Structures | 10.1109/TVCG.2023.3327403 | Ridge surfaces represent important features for the analysis of 3-dimensional (3D) datasets in diverse applications and are often derived from varying underlying data including flow fields, geological fault data, and point data, but they can also be present in the original scalar images acquired using a plethora of ima... | false | false | [
"Nicolas Klenert",
"Verena Lepper",
"Daniel Baum"
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Vis | 2,023 | A Parallel Framework for Streaming Dimensionality Reduction | 10.1109/TVCG.2023.3326515 | The visualization of streaming high-dimensional data often needs to consider the speed in dimensionality reduction algorithms, the quality of visualized data patterns, and the stability of view graphs that usually change over time with new data. Existing methods of streaming high-dimensional data visualization primaril... | false | false | [
"Jiazhi Xia",
"Linquan Huang",
"Yiping Sun",
"Zhiwei Deng",
"Xiaolong Luke Zhang",
"Minfeng Zhu"
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Vis | 2,023 | A Task-Parallel Approach for Localized Topological Data Structures | 10.1109/TVCG.2023.3327182 | Unstructured meshes are characterized by data points irregularly distributed in the Euclidian space. Due to the irregular nature of these data, computing connectivity information between the mesh elements requires much more time and memory than on uniformly distributed data. To lower storage costs, dynamic data structu... | false | false | [
"Guoxi Liu",
"Federico Iuricich"
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Vis | 2,023 | A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision | 10.1109/TVCG.2023.3326588 | Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we develop an open-source visual analysis tool, Uni-Evaluator, to support a unified model evaluation for classification, object detection, and insta... | false | false | [
"Changjian Chen",
"Yukai Guo",
"Fengyuan Tian",
"Shilong Liu",
"Weikai Yang",
"Zhaowei Wang",
"Jing Wu 0004",
"Hang Su",
"Hanspeter Pfister",
"Shixia Liu"
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Vis | 2,023 | Action-Evaluator: A Visualization Approach for Player Action Evaluation in Soccer | 10.1109/TVCG.2023.3326524 | In soccer, player action evaluation provides a fine-grained method to analyze player performance and plays an important role in improving winning chances in future matches. However, previous studies on action evaluation only provide a score for each action, and hardly support inspecting and comparing player actions int... | false | false | [
"Anqi Cao",
"Xiao Xie",
"Mingxu Zhou",
"Hui Zhang 0051",
"Mingliang Xu",
"Yingcai Wu"
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Vis | 2,023 | Adaptive Assessment of Visualization Literacy | 10.1109/TVCG.2023.3327165 | Visualization literacy is an essential skill for accurately interpreting data to inform critical decisions. Consequently, it is vital to understand the evolution of this ability and devise targeted interventions to enhance it, requiring concise and repeatable assessments of visualization literacy for individuals. Howev... | false | false | [
"Yuan Cui",
"Lily W. Ge",
"Yiren Ding",
"Fumeng Yang",
"Lane Harrison",
"Matthew Kay 0001"
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Vis | 2,023 | Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization | 10.1109/TVCG.2023.3327194 | Scene representation networks (SRNs) have been recently proposed for compression and visualization of scientific data. However, state-of-the-art SRNs do not adapt the allocation of available network parameters to the complex features found in scientific data, leading to a loss in reconstruction quality. We address this... | false | false | [
"Skylar W. Wurster",
"Tianyu Xiong",
"Han-Wei Shen",
"Hanqi Guo 0001",
"Tom Peterka"
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"url": "https://youtu.be/DNV-hfpiBLI",
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Vis | 2,023 | Affective Visualization Design: Leveraging the Emotional Impact of Data | 10.1109/TVCG.2023.3327385 | In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design. Meanwhile, an increasing number of studies have been conducted to explore emotion-related factors. However, so far, this r... | false | false | [
"Xingyu Lan",
"Yanqiu Wu",
"Nan Cao 0001"
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Vis | 2,023 | Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research | 10.1109/TVCG.2023.3326591 | Visualization for machine learning (VIS4ML) research aims to help experts apply their prior knowledge to develop, understand, and improve the performance of machine learning models. In conceiving VIS4ML systems, researchers characterize the nature of human knowledge to support human-in-the-loop tasks, design interactiv... | false | false | [
"Hariharan Subramonyam",
"Jessica Hullman"
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Vis | 2,023 | ARGUS: Visualization of AI-Assisted Task Guidance in AR | 10.1109/TVCG.2023.3327396 | The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary to develop artificial intelligence (AI)-based methods that simultaneously perceive the 3D environment, reason about physical tasks, and model... | false | false | [
"Sonia Castelo",
"João Rulff",
"Erin McGowan",
"Bea Steers",
"Guande Wu",
"Shaoyu Chen",
"Irán R. Román",
"Roque Lopez",
"Ethan Brewer",
"Chen Zhao",
"Jing Qian",
"Kyunghyun Cho",
"He He 0001",
"Qi Sun",
"Huy T. Vo",
"Juan Pablo Bello",
"Michael Krone",
"Cláudio T. Silva"
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Vis | 2,023 | AttentionViz: A Global View of Transformer Attention | 10.1109/TVCG.2023.3327163 | Transformer models are revolutionizing machine learning, but their inner workings remain mysterious. In this work, we present a new visualization technique designed to help researchers understand the self-attention mechanism in transformers that allows these models to learn rich, contextual relationships between elemen... | false | false | [
"Catherine Yeh",
"Yida Chen",
"Aoyu Wu",
"Cynthia Chen",
"Fernanda B. Viégas",
"Martin Wattenberg"
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Vis | 2,023 | Attribute-Aware RBFs: Interactive Visualization of Time Series Particle Volumes Using RT Core Range Queries | 10.1109/TVCG.2023.3327366 | Smoothed-particle hydrodynamics (SPH) is a mesh-free method used to simulate volumetric media in fluids, astrophysics, and solid mechanics. Visualizing these simulations is problematic because these datasets often contain millions, if not billions of particles carrying physical attributes and moving over time. Radial b... | false | false | [
"Nate Morrical",
"Stefan Zellmann",
"Alper Sahistan",
"Patrick C. Shriwise",
"Valerio Pascucci"
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Vis | 2,023 | Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability | 10.1109/TVCG.2023.3326589 | We investigate variability overweighting, a previously undocumented bias in line graphs, where estimates of average value are biased toward areas of higher variability in that line. We found this effect across two preregistered experiments with 140 and 420 participants. These experiments also show that the bias is redu... | false | false | [
"Dominik Moritz",
"Lace M. K. Padilla",
"Francis Nguyen",
"Steven L. Franconeri"
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Vis | 2,023 | Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams | 10.1109/TVCG.2023.3326925 | Graph or network data are widely studied in both data mining and visualization communities to review the relationship among different entities and groups. The data facts derived from graph visual analysis are important to help understand the social structures of complex data, especially for data journalism. However, it... | false | false | [
"Qing Chen 0001",
"Nan Chen",
"Wei Shuai",
"Guande Wu",
"Zhe Xu 0007",
"Hanghang Tong",
"Nan Cao 0001"
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Vis | 2,023 | Causality-Based Visual Analysis of Questionnaire Responses | 10.1109/TVCG.2023.3327376 | As the final stage of questionnaire analysis, causal reasoning is the key to turning responses into valuable insights and actionable items for decision-makers. During the questionnaire analysis, classical statistical methods (e.g., Differences-in-Differences) have been widely exploited to evaluate causality between que... | false | false | [
"Renzhong Li",
"Weiwei Cui",
"Tianqi Song",
"Xiao Xie",
"Rui Ding 0001",
"Yun Wang 0012",
"Haidong Zhang",
"Hong Zhou 0004",
"Yingcai Wu"
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Vis | 2,023 | Challenges and Opportunities in Data Visualization Education: A Call to Action | 10.1109/TVCG.2023.3327378 | This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse community of learners in visualization. Data Visualization is a diverse and d... | false | false | [
"Benjamin Bach",
"Mandy Keck",
"Fateme Rajabiyazdi",
"Tatiana Losev",
"Isabel Meirelles",
"Jason Dykes",
"Robert S. Laramee",
"Mashael AlKadi",
"Christina Stoiber",
"Samuel Huron",
"Charles Perin",
"Luiz Morais",
"Wolfgang Aigner",
"Doris Kosminsky",
"Magdalena Boucher",
"Søren Knudsen... | [] | [
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Vis | 2,023 | Character-Oriented Design for Visual Data Storytelling | 10.1109/TVCG.2023.3326578 | When telling a data story, an author has an intention they seek to convey to an audience. This intention can be of many forms such as to persuade, to educate, to inform, or even to entertain. In addition to expressing their intention, the story plot must balance being consumable and enjoyable while preserving scientifi... | false | false | [
"Keshav Dasu",
"Yun-Hsin Kuo",
"Kwan-Liu Ma"
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Vis | 2,023 | CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering | 10.1109/TVCG.2023.3327201 | Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the ways of perceiving clusters (i.e., conducting visual clustering) can differ due to the differences among individuals and ambiguous cluster boun... | false | false | [
"Hyeon Jeon",
"Ghulam Jilani Quadri",
"Hyunwook Lee",
"Paul Rosen 0001",
"Danielle Albers Szafir",
"Jinwook Seo"
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"name": "Prerecorded Talk",
"url": "https://youtu.be/-Lx8iElkiDg",
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Vis | 2,023 | Class-Constrained t-SNE: Combining Data Features and Class Probabilities | 10.1109/TVCG.2023.3326600 | Data features and class probabilities are two main perspectives when, e.g., evaluating model results and identifying problematic items. Class probabilities represent the likelihood that each instance belongs to a particular class, which can be produced by probabilistic classifiers or even human labeling with uncertaint... | false | false | [
"Linhao Meng",
"Stef van den Elzen",
"Nicola Pezzotti",
"Anna Vilanova"
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{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.13837v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/91nAgNhpHIg",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/O2xRwsUpIc0",
"icon": "video"
}
] |
Vis | 2,023 | Classes are not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction | 10.1109/TVCG.2023.3327187 | A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embeddings. This approach is based on the assumption that the classes stay as clear clusters in the original high-dimensional space. However, in r... | false | false | [
"Hyeon Jeon",
"Yun-Hsin Kuo",
"Michaël Aupetit 0001",
"Kwan-Liu Ma",
"Jinwook Seo"
] | [] | [
"P",
"V"
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{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.00278v2",
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{
"name": "Fast Forward",
"url": "https://youtu.be/2z0zTS7lSMo",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/_lIlinnyHkA",
"icon": "video"
}
] |
Vis | 2,023 | Cluster-Aware Grid Layout | 10.1109/TVCG.2023.3326934 | Grid visualizations are widely used in many applications to visually explain a set of data and their proximity relationships. However, existing layout methods face difficulties when dealing with the inherent cluster structures within the data. To address this issue, we propose a cluster-aware grid layout method that ai... | false | false | [
"Yuxing Zhou",
"Weikai Yang",
"Jiashu Chen",
"Changjian Chen",
"Zhiyang Shen",
"Xiaonan Luo",
"Lingyun Yu 0001",
"Shixia Liu"
] | [] | [
"P",
"V"
] | [
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.03651v1",
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{
"name": "Fast Forward",
"url": "https://youtu.be/UTG1UIbfOVc",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/j3RC42_HyeU",
"icon": "video"
}
] |
Vis | 2,023 | CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models | 10.1109/TVCG.2023.3327153 | Recently, large pretrained language models have achieved compelling performance on commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the models learn and whether they solely exploit spurious patterns. Feature attributions are popular explainability techniques that identify important input c... | false | false | [
"Xingbo Wang 0001",
"Renfei Huang",
"Zhihua Jin",
"Tianqing Fang",
"Huamin Qu"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.12382v1",
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{
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"url": "https://youtu.be/Ko6di7FUGVc",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/Jvsw0VE3Bko",
"icon": "video"
}
] |
Vis | 2,023 | Data Formulator: AI-Powered Concept-Driven Visualization Authoring | 10.1109/TVCG.2023.3326585 | With most modern visualization tools, authors need to transform their data into tidy formats to create visualizations they want. Because this requires experience with programming or separate data processing tools, data transformation remains a barrier in visualization authoring. To address this challenge, we present a ... | false | false | [
"Chenglong Wang",
"John Thompson 0002",
"Bongshin Lee"
] | [
"HM"
] | [
"P",
"V"
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"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2309.10094v2",
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{
"name": "Fast Forward",
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"icon": "video"
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/2CmYytcpoPg",
"icon": "video"
}
] |
Vis | 2,023 | Data Navigator: An Accessibility-Centered Data Navigation Toolkit | 10.1109/TVCG.2023.3327393 | Making data visualizations accessible for people with disabilities remains a significant challenge in current practitioner efforts. Existing visualizations often lack an underlying navigable structure, fail to engage necessary input modalities, and rely heavily on visual-only rendering practices. These limitations excl... | false | false | [
"Frank Elavsky",
"Lucas Nadolskis",
"Dominik Moritz"
] | [] | [
"P",
"V",
"C"
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{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.08475v1",
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"icon": "video"
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/mxTeCOPT6Vo",
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{
... |
Vis | 2,023 | Data Player: Automatic Generation of Data Videos with Narration-Animation Interplay | 10.1109/TVCG.2023.3327197 | Data visualizations and narratives are often integrated to convey data stories effectively. Among various data storytelling formats, data videos have been garnering increasing attention. These videos provide an intuitive interpretation of data charts while vividly articulating the underlying data insights. However, the... | false | false | [
"Leixian Shen",
"Yizhi Zhang",
"Haidong Zhang",
"Yun Wang 0012"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.04703v1",
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"name": "Fast Forward",
"url": "https://youtu.be/WkHHY7haJYI",
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/wrtAbOrr3m8",
"icon": "video"
}
] |
Vis | 2,023 | Data Type Agnostic Visual Sensitivity Analysis | 10.1109/TVCG.2023.3327203 | Modern science and industry rely on computational models for simulation, prediction, and data analysis. Spatial blind source separation (SBSS) is a model used to analyze spatial data. Designed explicitly for spatial data analysis, it is superior to popular non-spatial methods, like PCA. However, a challenge to its prac... | false | false | [
"Nikolaus Piccolotto",
"Markus Bögl",
"Christoph Muehlmann",
"Klaus Nordhausen",
"Peter Filzmoser",
"Johanna Schmidt",
"Silvia Miksch"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2309.03580v1",
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{
"name": "Fast Forward",
"url": "https://youtu.be/uM-t5wrikFs",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/qlz1lzLI48Y",
"icon": "video"
}
] |
Vis | 2,023 | Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting | 10.1109/TVCG.2023.3326594 | We present aggregate query sculpting (AQS), a faceted visual query technique for large-scale multidimensional data. As a “born scalable” query technique, AQS starts visualization with a single visual mark representing an aggregation of the entire dataset. The user can then progressively explore the dataset through a se... | false | false | [
"Md. Naimul Hoque",
"Niklas Elmqvist"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.02764v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/QQRfR7cqtLk",
"icon": "video"
}
] |
Vis | 2,023 | Dead or Alive: Continuous Data Profiling for Interactive Data Science | 10.1109/TVCG.2023.3327367 | Profiling data by plotting distributions and analyzing summary statistics is a critical step throughout data analysis. Currently, this process is manual and tedious since analysts must write extra code to examine their data after every transformation. This inefficiency may lead to data scientists profiling their data i... | false | false | [
"Will Epperson",
"Vaishnavi Gorantla",
"Dominik Moritz",
"Adam Perer"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.03964v1",
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{
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"url": "https://youtu.be/qtSt39Z3tIk",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/eMphMxjoIUA",
"icon": "video"
}
] |
Vis | 2,023 | Design Characterization for Black-and-White Textures in Visualization | 10.1109/TVCG.2023.3326941 | We investigate the use of 2D black-and-white textures for the visualization of categorical data and contribute a summary of texture attributes, and the results of three experiments that elicited design strategies as well as aesthetic and effectiveness measures. Black-and-white textures are useful, for instance, as a vi... | false | false | [
"Tingying He",
"Yuanyang Zhong",
"Petra Isenberg",
"Tobias Isenberg 0001"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.10089v3",
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{
"name": "Fast Forward",
"url": "https://youtu.be/YSZAgpoddtA",
"icon": "video"
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/5nZ_v7C8xog",
"icon": "video"
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] |
Vis | 2,023 | Design Patterns for Situated Visualization in Augmented Reality | 10.1109/TVCG.2023.3327398 | Situated visualization has become an increasingly popular research area in the visualization community, fueled by advancements in augmented reality (AR) technology and immersive analytics. Visualizing data in spatial proximity to their physical referents affords new design opportunities and considerations not present i... | false | false | [
"Benjamin Lee",
"Michael Sedlmair",
"Dieter Schmalstieg"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.09157v2",
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{
"name": "Fast Forward",
"url": "https://youtu.be/Ya5dInAbZE0",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/hgf7X_uKG6g",
"icon": "video"
}
] |
Vis | 2,023 | Designing for Ambiguity in Visual Analytics: Lessons from Risk Assessment and Prediction | 10.1109/TVCG.2023.3326571 | Ambiguity is pervasive in the complex sensemaking domains of risk assessment and prediction but there remains little research on how to design visual analytics tools to accommodate it. We report on findings from a qualitative study based on a conceptual framework of sensemaking processes to investigate how both new vis... | false | false | [
"Stanislaw Nowak",
"Lyn Bartram"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/btRIn_f3kKE",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/SBB4WR305xk",
"icon": "video"
}
] |
Vis | 2,023 | Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer Functions | 10.1109/TVCG.2023.3327371 | The transfer function is crucial for direct volume rendering (DVR) to create an informative visual representation of volumetric data. However, manually adjusting the transfer function to achieve the desired DVR result can be time-consuming and unintuitive. In this paper, we propose Differentiable Design Galleries, an i... | false | false | [
"Bo Pan",
"Jiaying Lu",
"Haoxuan Li",
"Weifeng Chen 0003",
"Yiyao Wang",
"Minfeng Zhu",
"Chenhao Yu",
"Wei Chen 0001"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/U2tRFLO5jtk",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/oErDe_2ScnU",
"icon": "video"
}
] |
Vis | 2,023 | DIVI: Dynamically Interactive Visualization | 10.1109/TVCG.2023.3327172 | Dynamically Interactive Visualization (DIVI) is a novel approach for orchestrating interactions within and across static visualizations. DIVI deconstructs Scalable Vector Graphics charts at runtime to infer content and coordinate user input, decoupling interaction from specification logic. This decoupling allows intera... | false | false | [
"Luke S. Snyder",
"Jeffrey Heer"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2310.17814v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/VKOqZ2iihnE",
"icon": "video"
}
] |
Vis | 2,023 | Dr. KID: Direct Remeshing and K-Set Isometric Decomposition for Scalable Physicalization of Organic Shapes | 10.1109/TVCG.2023.3326595 | Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-shaped organic models in a puzzle fashion. The algorithm begins with creating a simple, regular triangular surface mesh of organic shapes, followed by iterative K-means clustering and remeshing. For clustering, we need similarit... | false | false | [
"Dawar Khan",
"Ciril Bohak",
"Ivan Viola"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2304.02941v2",
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{
"name": "Fast Forward",
"url": "https://youtu.be/Kv9V69zSsgg",
"icon": "video"
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/8v156eZrfTQ",
"icon": "video"
}
] |
Vis | 2,023 | Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization | 10.1109/TVCG.2023.3326583 | Designing responsive visualizations for various screen types can be tedious as authors must manage multiple chart versions across design iterations. Automated approaches for responsive visualization must take into account the user's need for agency in exploring possible design ideas and applying customizations based on... | false | false | [
"Hyeok Kim",
"Ryan A. Rossi",
"Jessica Hullman",
"Jane Hoffswell"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.05136v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/kQr6UJQF40g",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/GYIqimSJwiY",
"icon": "video"
}
] |
Vis | 2,023 | Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation | 10.1109/TVCG.2023.3327369 | We present an analysis of the representation of gender as a data dimension in data visualizations and propose a set of considerations around visual variables and annotations for gender-related data. Gender is a common demographic dimension of data collected from study or survey participants, passengers, or customers, a... | false | false | [
"Florent Cabric",
"Margrét Vilborg Bjarnadóttir",
"Meng Ling",
"Guðbjörg Linda Rafnsdóttir",
"Petra Isenberg"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.14415v1",
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{
"name": "Fast Forward",
"url": "https://youtu.be/nVE_sjdWUok",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/lqImDkBWpe8",
"icon": "video"
}
] |
Vis | 2,023 | Embellishments Revisited: Perceptions of Embellished Visualisations Through the Viewer's Lens | 10.1109/TVCG.2023.3326914 | Embellishments are features commonly used in everyday visualisations which are demonstrated to enhance assimilation and memorability. Despite their popularity, little is known about their impact on enticing readers to explore visualisations. To address this gap, we conducted 18 interviews with a diverse group of partic... | false | false | [
"Muna Alebri",
"Enrico Costanza",
"Georgia Panagiotidou",
"Duncan P. Brumby"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/-DSGK_yrsL0",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/zKUENG1MSzA",
"icon": "video"
}
] |
Vis | 2,023 | EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis | 10.1109/TVCG.2023.3327150 | Recent work has shown that when both the chart and caption emphasize the same aspects of the data, readers tend to remember the doubly-emphasized features as takeaways; when there is a mismatch, readers rely on the chart to form takeaways and can miss information in the caption text. Through a survey of 280 chart-capti... | false | false | [
"Daehyun Kim 0005",
"Seulgi Choi",
"Juho Kim",
"Vidya Setlur",
"Maneesh Agrawala"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.13858v2",
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{
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"url": "https://youtu.be/uk-gt_dGXDI",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/moe_-ROvDsc",
"icon": "video"
}
] |
Vis | 2,023 | Enthusiastic and Grounded, Avoidant and Cautious: Understanding Public Receptivity to Data and Visualizations | 10.1109/TVCG.2023.3326917 | Despite an abundance of open data initiatives aimed to inform and empower “general” audiences, we still know little about the ways people outside of traditional data analysis communities experience and engage with public data and visualizations. To investigate this gap, we present results from an in-depth qualitative i... | false | false | [
"Helen Ai He",
"Jagoda Walny",
"Sonja Thoma",
"Sheelagh Carpendale",
"Wesley Willett"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "https://osf.io/mpq32",
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{
"name": "Fast Forward",
"url": "https://youtu.be/fwOwzoapPMw",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/QvGw-9SIL54",
"icon": "video"
}
] |
Vis | 2,023 | EVM: Incorporating Model Checking into Exploratory Visual Analysis | 10.1109/TVCG.2023.3326516 | Visual analytics (VA) tools support data exploration by helping analysts quickly and iteratively generate views of data which reveal interesting patterns. However, these tools seldom enable explicit checks of the resulting interpretations of data—e.g., whether patterns can be accounted for by a model that implies a par... | false | false | [
"Alex Kale",
"Ziyang Guo",
"Xiaoli Qiao",
"Jeffrey Heer",
"Jessica Hullman"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.13024v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/fGtd0CzXm0w",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/MYJ-1sKgxbI",
"icon": "video"
}
] |
Vis | 2,023 | Explore Your Network in Minutes: A Rapid Prototyping Toolkit for Understanding Neural Networks with Visual Analytics | 10.1109/TVCG.2023.3326575 | Neural networks attract significant attention in almost every field due to their widespread applications in various tasks. However, developers often struggle with debugging due to the black-box nature of neural networks. Visual analytics provides an intuitive way for developers to understand the hidden states and under... | false | false | [
"Shaoxuan Lai",
"Wanna Luan",
"Jun Tao 0002"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/tZFpiomSRTE",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/WcAWOeqiRfo",
"icon": "video"
}
] |
Vis | 2,023 | Extract and Characterize Hairpin Vortices in Turbulent Flows | 10.1109/TVCG.2023.3326603 | Hairpin vortices are one of the most important vortical structures in turbulent flows. Extracting and characterizing hairpin vortices provides useful insight into many behaviors in turbulent flows. However, hairpin vortices have complex configurations and might be entangled with other vortices, making their extraction ... | false | false | [
"Adeel Zafar",
"Di Yang",
"Guoning Chen"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.06283v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/Gemap7uU6_o",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/TpJUFmReA-M",
"icon": "video"
}
] |
Vis | 2,023 | ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs | 10.1109/TVCG.2023.3326526 | Over the last decade merge trees have been proven to support a plethora of visualization and analysis tasks since they effectively abstract complex datasets. This paper describes the ExTreeM-Algorithm: A scalable algorithm for the computation of merge trees via extremum graphs. The core idea of ExTreeM is to first deri... | false | false | [
"Jonas Lukasczyk",
"Michael Will",
"Florian Wetzels",
"Gunther H. Weber",
"Christoph Garth"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/w9bKW5O_Jf0",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/AVHlMbYJnNk",
"icon": "video"
}
] |
Vis | 2,023 | Fast Compressed Segmentation Volumes for Scientific Visualization | 10.1109/TVCG.2023.3326573 | Voxel-based segmentation volumes often store a large number of labels and voxels, and the resulting amount of data can make storage, transfer, and interactive visualization difficult. We present a lossless compression technique which addresses these challenges. It processes individual small bricks of a segmentation vol... | false | false | [
"Max Piochowiak",
"Carsten Dachsbacher"
] | [
"BP"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.16619v2",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/2BN2Lktbu4U",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/pZfV6o7V7SU",
"icon": "video"
}
] |
Vis | 2,023 | From Information to Choice: A Critical Inquiry Into Visualization Tools for Decision Making | 10.1109/TVCG.2023.3326593 | In the face of complex decisions, people often engage in a three-stage process that spans from (1) exploring and analyzing pertinent information (intelligence); (2) generating and exploring alternative options (design); and ultimately culminating in (3) selecting the optimal decision by evaluating discerning criteria (... | false | false | [
"Emre Oral",
"Ria Chawla",
"Michel Wijkstra",
"Narges Mahyar",
"Evanthia Dimara"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.08326v2",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/X9M-YXH3vrI",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/tgE2x-2mq78",
"icon": "video"
}
] |
Vis | 2,023 | From Shock to Shift: Data Visualization for Constructive Climate Journalism | 10.1109/TVCG.2023.3327185 | We present a multi-dimensional, multi-level, and multi-channel approach to data visualization for the purpose of constructive climate journalism. Data visualization has assumed a central role in environmental journalism and is often used in data stories to convey the dramatic consequences of climate change and other ec... | false | false | [
"Francesca Morini",
"Anna Eschenbacher",
"Johanna Hartmann",
"Marian Dörk"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/Q_G6d5enbZI",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/35q-7hUec0Y",
"icon": "video"
}
] |
Vis | 2,023 | FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations | 10.1109/TVCG.2023.3327077 | The provision of fire services plays a vital role in ensuring the safety of residents' lives and property. The spatial layout of fire stations is closely linked to the efficiency of fire rescue operations. Traditional approaches have primarily relied on mathematical planning models to generate appropriate layouts by su... | false | false | [
"Longfei Chen",
"He Wang",
"Yang Ouyang",
"Yang Zhou",
"Naiyu Wang",
"Quan Li"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.12227v2",
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},
{
"name": "Fast Forward",
"url": "https://youtu.be/W0zFHKKAPs0",
"icon": "video"
}
] |
Vis | 2,023 | GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation | 10.1109/TVCG.2023.3327359 | Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of analyses focus on answering why questions about underlying spatial phenomena, e.g., why is crime higher in this locale, why do children in o... | false | false | [
"Fan Lei",
"Yuxin Ma",
"A. Stewart Fotheringham",
"Elizabeth A. Mack",
"Ziqi Li",
"Mehak Sachdeva",
"Sarah Bardin",
"Ross Maciejewski"
] | [] | [
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"V"
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"url": "http://arxiv.org/pdf/2308.13588v1",
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},
{
"name": "Fast Forward",
"url": "https://youtu.be/mkM05Rwi8Pw",
"icon": "video"
}
] |
Vis | 2,023 | ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics | 10.1109/TVCG.2023.3327195 | The grammar of graphics is ubiquitous, providing the foundation for a variety of popular visualization tools and toolkits. Yet support for uncertainty visualization in the grammar graphics—beyond simple variations of error bars, uncertainty bands, and density plots—remains rudimentary. Research in uncertainty visualiza... | false | false | [
"Matthew Kay 0001"
] | [] | [
"P",
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/htJORACnb54",
"icon": "video"
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] |
Vis | 2,023 | Global Topology of 3D Symmetric Tensor Fields | 10.1109/TVCG.2023.3326933 | There have been recent advances in the analysis and visualization of 3D symmetric tensor fields, with a focus on the robust extraction of tensor field topology. However, topological features such as degenerate curves and neutral surfaces do not live in isolation. Instead, they intriguingly interact with each other. In ... | false | false | [
"Shih-Hsuan Hung",
"Yue Zhang 0009",
"Eugene Zhang"
] | [] | [
"P",
"V"
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{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2309.01863v1",
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"icon": "video"
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{
"name": "Prerecorded Talk",
"url": "https://youtu.be/tXiELTWc-lA",
"icon": "video"
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] |
Vis | 2,023 | Guaranteed Visibility in Scatterplots with Tolerance | 10.1109/TVCG.2023.3326596 | In 2D visualizations, visibility of every datum's representation is crucial to ease the completion of visual tasks. Such a guarantee is barely respected in complex visualizations, mainly because of overdraws between datum representations that hide parts of the information (e.g., outliers). The literature proposes vario... | false | false | [
"Loann Giovannangeli",
"Frédéric Lalanne",
"Romain Giot",
"Romain Bourqui"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/StvLgjDdixU",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/4rXA8Nn2M70",
"icon": "video"
}
] |
Vis | 2,023 | Guided Visual Analytics for Image Selection in Time and Space | 10.1109/TVCG.2023.3326572 | Unexploded Ordnance (UXO) detection, the identification of remnant active bombs buried underground from archival aerial images, implies a complex workflow involving decision-making at each stage. An essential phase in UXO detection is the task of image selection, where a small subset of images must be chosen from archi... | false | false | [
"Ignacio Pérez-Messina",
"Davide Ceneda",
"Silvia Miksch"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/3P6-uz4Cun8",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/HzGQ6yczMPI",
"icon": "video"
}
] |
Vis | 2,023 | Handling Non-Visible Referents in Situated Visualizations | 10.1109/TVCG.2023.3327361 | Situated visualizations are a type of visualization where data is presented next to its physical referent (i.e., the physical object, space, or person it refers to), often using augmented-reality displays. While situated visualizations can be beneficial in various contexts and have received research attention, they are... | false | false | [
"Ambre Assor",
"Arnaud Prouzeau",
"Martin Hachet",
"Pierre Dragicevic"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/tvE8z_llpqg",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/5GViRMjaUoU",
"icon": "video"
}
] |
Vis | 2,023 | HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data | 10.1109/TVCG.2023.3326943 | The correlation between children's personal and family characteristics (e.g., demographics and socioeconomic status) and their physical and mental health status has been extensively studied across various research domains, such as public health, medicine, and data science. Such studies can provide insights into the und... | false | false | [
"Zhihan Jiang",
"Handi Chen",
"Rui Zhou",
"Jing Deng",
"Xinchen Zhang",
"Running Zhao",
"Cong Xie",
"Yifang Wang 0001",
"Edith C. H. Ngai"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.12242v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/C95-YcpnIr8",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/sYpgwC54wcU",
"icon": "video"
}
] |
Vis | 2,023 | Heuristics for Supporting Cooperative Dashboard Design | 10.1109/TVCG.2023.3327158 | Dashboards are no longer mere static displays of metrics; through functionality such as interaction and storytelling, they have evolved to support analytic and communicative goals like monitoring and reporting. Existing dashboard design guidelines, however, are often unable to account for this expanded scope as they la... | false | false | [
"Vidya Setlur",
"Michael Correll",
"Arvind Satyanarayan",
"Melanie Tory"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.04514v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/ESoh9DNeFgs",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/zDR8CbsQznM",
"icon": "video"
}
] |
Vis | 2,023 | HoopInSight: Analyzing and Comparing Basketball Shooting Performance Through Visualization | 10.1109/TVCG.2023.3326910 | Data visualization has the power to revolutionize sports. For example, the rise of shot maps has changed basketball strategy by visually illustrating where “good/bad” shots are taken from. As a result, professional basketball teams today take shots from very different positions on the court than they did 20 years ago. ... | false | false | [
"Yu Fu",
"John T. Stasko"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/LnZdCpbHWt4",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/lSxRinkaVH4",
"icon": "video"
}
] |
Vis | 2,023 | Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification | 10.1109/TVCG.2023.3326919 | How do people internalize visualizations: as images or information? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visualizations in memory) and how memory encoding affects its retrieval. This exploratory work examines the influence of various design elements ... | false | false | [
"Anjana Arunkumar",
"Lace M. K. Padilla",
"Gi-Yeul Bae",
"Chris Bryan"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.10571v2",
"icon": "paper"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/XaOcp1Cdb04",
"icon": "video"
}
] |
Vis | 2,023 | InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks | 10.1109/TVCG.2023.3327170 | Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document. Effective documentation for explaining chart findings during the exploration process is essential as it helps recall and share data analysis. ... | false | false | [
"Yanna Lin",
"Haotian Li 0001",
"Leni Yang",
"Aoyu Wu",
"Huamin Qu"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.07922v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/pNxS5x-zt5A",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/9aUrbFWiaTk",
"icon": "video"
}
] |
Vis | 2,023 | InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology | 10.1109/TVCG.2023.3327387 | Science has long been viewed as a key driver of economic growth and rising standards of living. Knowledge about how scientific advances support marketplace inventions is therefore essential for understanding the role of science in propelling real-world applications and technological progress. The increasing availabilit... | false | false | [
"Yifang Wang 0001",
"Yifan Qian",
"Xiaoyu Qi",
"Nan Cao 0001",
"Dashun Wang"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.02933v2",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/a-pCg9jrhFg",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/06ZsvuyjtjA",
"icon": "video"
}
] |
Vis | 2,023 | Interactive Design and Optics-Based Visualization of Arbitrary Non-Euclidean Kaleidoscopic Orbifolds | 10.1109/TVCG.2023.3326927 | Orbifolds are a modern mathematical concept that arises in the research of hyperbolic geometry with applications in computer graphics and visualization. In this paper, we make use of rooms with mirrors as the visual metaphor for orbifolds. Given any arbitrary two-dimensional kaleidoscopic orbifold, we provide an algori... | false | false | [
"Jinta Zheng",
"Eugene Zhang",
"Yue Zhang 0009"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2309.01853v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/HZauUsDoKao",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/C0cjlLlOM_0",
"icon": "video"
}
] |
Vis | 2,023 | InvVis: Large-Scale Data Embedding for Invertible Visualization | 10.1109/TVCG.2023.3326597 | We present InvVis, a new approach for invertible visualization, which is reconstructing or further modifying a visualization from an image. InvVis allows the embedding of a significant amount of data, such as chart data, chart information, source code, etc., into visualization images. The encoded image is perceptually ... | false | false | [
"Huayuan Ye",
"Chenhui Li",
"Yang Li",
"Changbo Wang"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.16176v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/O6gAlsCxrWU",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/SalRGyajgds",
"icon": "video"
}
] |
Vis | 2,023 | Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities | 10.1109/TVCG.2023.3326904 | This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases. Through this study, we identify critical challenges experienced by KG practitioners when creating, exploring, and analyzing KGs that could be al... | false | false | [
"Harry X. Li",
"Gabriel Appleby",
"Camelia Daniela Brumar",
"Remco Chang",
"Ashley Suh 0001"
] | [] | [
"P"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2304.01311v3",
"icon": "paper"
}
] |
Vis | 2,023 | Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization | 10.1109/TVCG.2023.3326569 | Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent dimensionality reduction algorithm, topic models can be used for deriving spatializations for text corpora as two-dimensional scatter plots, reflecting semantic similarity b... | false | false | [
"Daniel Atzberger",
"Tim Cech",
"Matthias Trapp 0001",
"Rico Richter",
"Willy Scheibel",
"Jürgen Döllner",
"Tobias Schreck"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.11770v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/gLMIy-ea8qU",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/E2EacKmpdhI",
"icon": "video"
}
] |
Vis | 2,023 | Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model | 10.1109/TVCG.2023.3326913 | Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in an engaging and informative manner. Extensive studies have been devoted to developing authoring tools to simplify the creation of pictorial visualizations. However, mainstream works follo... | false | false | [
"Shishi Xiao",
"Suizi Huang",
"Yue Lin",
"Yilin Ye",
"Wei Zeng"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2304.14630v2",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/CiwtQhI1o5E",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/OXno64ZJhoE",
"icon": "video"
}
] |
Vis | 2,023 | Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning | 10.1109/TVCG.2023.3326929 | Simulation-based Medical Education (SBME) has been developed as a cost-effective means of enhancing the diagnostic skills of novice physicians and interns, thereby mitigating the need for resource-intensive mentor-apprentice training. However, feedback provided in most SBME is often directed towards improving the opera... | false | false | [
"Yang Ouyang",
"Yuchen Wu",
"He Wang",
"Chenyang Zhang",
"Furui Cheng",
"Chang Jiang",
"Lixia Jin",
"Yuanwu Cao",
"Quan Li"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.12199v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/Kpvq91vRi4Q",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/RAOZsUGql9E",
"icon": "video"
}
] |
Vis | 2,023 | LiberRoad: Probing into the Journey of Chinese Classics Through Visual Analytics | 10.1109/TVCG.2023.3326944 | Books act as a crucial carrier of cultural dissemination in ancient times. This work involves joint efforts between visualization and humanities researchers, aiming at building a holistic view of the cultural exchange and integration between China and Japan brought about by the overseas circulation of Chinese classics.... | false | false | [
"Yuhan Guo",
"Yuchu Luo",
"Keer Lu",
"Linfang Li",
"Haizheng Yang",
"Xiaoru Yuan"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/rblrPx4OGPU",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/h7Hxc8765ag",
"icon": "video"
}
] |
Vis | 2,023 | LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce | 10.1109/TVCG.2023.3326911 | Livestream e-commerce integrates live streaming and online shopping, allowing viewers to make purchases while watching. However, effective marketing strategies remain a challenge due to limited empirical research and subjective biases from the absence of quantitative data. Current tools fail to capture the interdepende... | false | false | [
"Yuchen Wu",
"Yuansong Xu",
"Shenghan Gao",
"Xingbo Wang 0001",
"Wenkai Song",
"Zhiheng Nie",
"Xiaomeng Fan",
"Quan Li"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.12213v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/BroIyMJvTmc",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/G_ofhrgeANw",
"icon": "video"
}
] |
Vis | 2,023 | ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data | 10.1109/TVCG.2023.3326582 | Exploration and analysis of high-dimensional data are important tasks in many fields that produce large and complex data, like the financial sector, systems biology, or cultural heritage. Tailor-made visual analytics software is developed for each specific application, limiting their applicability in other fields. Howe... | false | false | [
"Alexander Vieth",
"Thomas Kroes",
"Julian Thijssen",
"Baldur van Lew",
"Jeroen Eggermont",
"Soumyadeep Basu",
"Elmar Eisemann",
"Anna Vilanova",
"Thomas Höllt",
"Boudewijn P. F. Lelieveldt"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.01751v2",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/KFUyjH8dBsk",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/zR0CAUMdGEM",
"icon": "video"
}
] |
Vis | 2,023 | Marjorie: Visualizing Type 1 Diabetes Data to Support Pattern Exploration | 10.1109/TVCG.2023.3326936 | In this work we propose Marjorie, a visual analytics approach to address the challenge of analyzing patients' diabetes data during brief regular appointments with their diabetologists. Designed in consultation with diabetologists, Marjorie uses a combination of visual and algorithmic methods to support the exploration ... | false | false | [
"Anna Scimone",
"Klaus Eckelt",
"Marc Streit",
"Andreas P. Hinterreiter"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "https://osf.io/caj2n",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/zOfOEm4NU3g",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/MYspNQH2fi8",
"icon": "video"
}
] |
Vis | 2,023 | Merge Tree Geodesics and Barycenters with Path Mappings | 10.1109/TVCG.2023.3326601 | Comparative visualization of scalar fields is often facilitated using similarity measures such as edit distances. In this paper, we describe a novel approach for similarity analysis of scalar fields that combines two recently introduced techniques: Wasserstein geodesics/barycenters as well as path mappings, a branch de... | false | false | [
"Florian Wetzels",
"Mathieu Pont",
"Julien Tierny",
"Christoph Garth"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.03672v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/vgeBm-pPER0",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/bybxAFqWovA",
"icon": "video"
}
] |
Vis | 2,023 | MeTACAST: Target- and Context-Aware Spatial Selection in VR | 10.1109/TVCG.2023.3326517 | We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a wide range of data features and complex scenarios. Each technique is designed to be adjusted to particular selection intents: the selection... | false | false | [
"Lixiang Zhao",
"Tobias Isenberg 0001",
"Fuqi Xie",
"Hai-Ning Liang",
"Lingyun Yu 0001"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.03616v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/rPIlDZSqKs4",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/cVDWVGbMTc8",
"icon": "video"
}
] |
Vis | 2,023 | Metrics-Based Evaluation and Comparison of Visualization Notations | 10.1109/TVCG.2023.3326907 | A visualization notation is a recurring pattern of symbols used to author specifications of visualizations, from data transformation to visual mapping. Programmatic notations use symbols defined by grammars or domain-specific languages (e.g. ggplot2, dplyr, Vega-Lite) or libraries (e.g. Matplotlib, Pandas). Designers a... | false | false | [
"Nicolas Kruchten",
"Andrew M. McNutt",
"Michael J. McGuffin"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.16353v1",
"icon": "paper"
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{
"name": "Fast Forward",
"url": "https://youtu.be/pwkYONAD3e0",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/ZAFdNC4SSr8",
"icon": "video"
}
] |
Vis | 2,023 | MolSieve: A Progressive Visual Analytics System for Molecular Dynamics Simulations | 10.1109/TVCG.2023.3326584 | Molecular Dynamics (MD) simulations are ubiquitous in cutting-edge physio-chemical research. They provide critical insights into how a physical system evolves over time given a model of interatomic interactions. Understanding a system's evolution is key to selecting the best candidates for new drugs, materials for manu... | false | false | [
"Rostyslav Hnatyshyn",
"Jieqiong Zhao",
"Danny Perez",
"James P. Ahrens",
"Ross Maciejewski"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.11724v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/9tz_7aRFP5o",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/VAxMeWR-1IA",
"icon": "video"
}
] |
Vis | 2,023 | Mosaic: An Architecture for Scalable & Interoperable Data Views | 10.1109/TVCG.2023.3327189 | Mosaic is an architecture for greater scalability, extensibility, and interoperability of interactive data views. Mosaic decouples data processing from specification logic: clients publish their data needs as declarative queries that are then managed and automatically optimized by a coordinator that proxies access to a... | false | false | [
"Jeffrey Heer",
"Dominik Moritz"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/4VPQmScA4Fg",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/txIvM1dA3EM",
"icon": "video"
}
] |
Vis | 2,023 | My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning | 10.1109/TVCG.2023.3327192 | Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems. Visualization technology can support stakeholders in understanding and evaluatin... | false | false | [
"Aimen Gaba",
"Zhanna Kaufman",
"Jason Cheung",
"Marie Shvakel",
"Kyle Wm. Hall",
"Yuriy Brun",
"Cindy Xiong Bearfield"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.03299v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/CsugZupQSX0",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/sjnUF7NZL14",
"icon": "video"
}
] |
Vis | 2,023 | Mystique: Deconstructing SVG Charts for Layout Reuse | 10.1109/TVCG.2023.3327354 | To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusable components, such as encodings. However, existing deconstruction approaches primarily focus on chart styles, handling only basic layouts. ... | false | false | [
"Chen Chen",
"Bongshin Lee",
"Yunhai Wang",
"Yunjeong Chang",
"Zhicheng Liu"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.13567v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/Wd8PGfKSsSM",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/gP8a-DNLhN0",
"icon": "video"
}
] |
Vis | 2,023 | NL2Color: Refining Color Palettes for Charts with Natural Language | 10.1109/TVCG.2023.3326522 | Choice of color is critical to creating effective charts with an engaging, enjoyable, and informative reading experience. However, designing a good color palette for a chart is a challenging task for novice users who lack related design expertise. For example, they often find it difficult to articulate their abstract i... | false | false | [
"Chuhan Shi",
"Weiwei Cui",
"Chengzhong Liu",
"Chengbo Zheng",
"Haidong Zhang",
"Qiong Luo 0001",
"Xiaojuan Ma"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/DdahFCNJnWY",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/mnYexe0jdAI",
"icon": "video"
}
] |
Vis | 2,023 | OldVisOnline: Curating a Dataset of Historical Visualizations | 10.1109/TVCG.2023.3326908 | With the increasing adoption of digitization, more and more historical visualizations created hundreds of years ago are accessible in digital libraries online. It provides a unique opportunity for visualization and history research. Meanwhile, there is no large-scale digital collection dedicated to historical visualiza... | false | false | [
"Yu Zhang 0043",
"Ruike Jiang",
"Liwenhan Xie",
"Yuheng Zhao",
"Can Liu 0004",
"Tianhong Ding",
"Siming Chen 0001",
"Xiaoru Yuan"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.16053v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/qU9cXKv0Dzk",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/ZyKijYzleR4",
"icon": "video"
}
] |
Vis | 2,023 | OW-Adapter: Human-Assisted Open-World Object Detection with a Few Examples | 10.1109/TVCG.2023.3326577 | Open-world object detection (OWOD) is an emerging computer vision problem that involves not only the identification of predefined object classes, like what general object detectors do, but also detects new unknown objects simultaneously. Recently, several end-to-end deep learning models have been proposed to address th... | false | false | [
"Suphanut Jamonnak",
"Jiajing Guo",
"Wenbin He",
"Liang Gou",
"Liu Ren"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/QNub6PYMp1k",
"icon": "video"
}
] |
Vis | 2,023 | Perception of Line Attributes for Visualization | 10.1109/TVCG.2023.3326523 | Line attributes such as width and dashing are commonly used to encode information. However, many questions on the perception of line attributes remain, such as how many levels of attribute variation can be distinguished or which line attributes are the preferred choices for which tasks. We conducted three studies to de... | false | false | [
"Anna Sterzik",
"Nils Lichtenberg",
"Jana Wilms",
"Michael Krone",
"Douglas W. Cunningham",
"Kai Lawonn"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.04150v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/O-mD127e7nY",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/BwN9YtwhkcM",
"icon": "video"
}
] |
Vis | 2,023 | Perceptually Uniform Construction of Illustrative Textures | 10.1109/TVCG.2023.3326574 | Illustrative textures, such as stippling or hatching, were predominantly used as an alternative to conventional Phong rendering. Recently, the potential of encoding information on surfaces or maps using different densities has also been recognized. This has the significant advantage that additional color can be used as... | false | false | [
"Anna Sterzik",
"Monique Meuschke",
"Douglas W. Cunningham",
"Kai Lawonn"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.03644v3",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/CGu5KzFO7-w",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/pWsjetlz5pQ",
"icon": "video"
}
] |
Vis | 2,023 | Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination | 10.1109/TVCG.2023.3327107 | Volume data is commonly found in many scientific disciplines, like medicine, physics, and biology. Experts rely on robust scientific visualization techniques to extract valuable insights from the data. Recent years have shown path tracing to be the preferred approach for volumetric rendering, given its high levels of r... | false | false | [
"David Bauer",
"Qi Wu 0015",
"Kwan-Liu Ma"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2304.07338v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/Q_c9v8F6BwM",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/CSWbuK0rwoc",
"icon": "video"
}
] |
Vis | 2,023 | Polarizing Political Polls: How Visualization Design Choices Can Shape Public Opinion and Increase Political Polarization | 10.1109/TVCG.2023.3326512 | While we typically focus on data visualization as a tool for facilitating cognitive tasks (e.g. learning facts, making decisions), we know relatively little about their second-order impacts on our opinions, attitudes, and values. For example, could design or framing choices interact with viewers' social cognitive biase... | false | false | [
"Eli Holder",
"Cindy Xiong Bearfield"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2309.00690v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/RmrWjeji25Y",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/_Ux-vx35Iu0",
"icon": "video"
}
] |
Vis | 2,023 | PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation | 10.1109/TVCG.2023.3327168 | Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images can be challenging due to the complexity and ambiguity of natural language. This researc... | false | false | [
"Yingchaojie Feng",
"Xingbo Wang 0001",
"Kamkwai Wong",
"Sijia Wang",
"Yuhong Lu",
"Minfeng Zhu",
"Baicheng Wang",
"Wei Chen 0001"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.09036v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/zO6bF0BPSQQ",
"icon": "video"
}
] |
Vis | 2,023 | ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime | 10.1109/TVCG.2023.3326514 | Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are complex tools that require specialized training and laborious setup and are challenging even for weather experts. Moreover, weather simulations are data-intensive computations a... | false | false | [
"Carolina Veiga Ferreira de Souza",
"Suzanna Maria Bonnet",
"Daniel de Oliveira 0001",
"Márcio Cataldi",
"Fabio Miranda 0001",
"Marcos Lage"
] | [
"HM"
] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.05019v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/tW6WzsnZXE8",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/wVpLwvVA5XE",
"icon": "video"
}
] |
Vis | 2,023 | PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data | 10.1109/TVCG.2023.3327171 | Although many deep-learning-based super-resolution approaches have been proposed in recent years, because no ground truth is available in the inference stage, few can quantify the errors and uncertainties of the super-resolved results. For scientific visualization applications, however, conveying uncertainties of the r... | false | false | [
"Jingyi Shen",
"Han-Wei Shen"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2308.04605v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/_7X25uEUyz0",
"icon": "video"
}
] |
Vis | 2,023 | QEVIS: Multi-Grained Visualization of Distributed Query Execution | 10.1109/TVCG.2023.3326930 | Distributed query processing systems such as Apache Hive and Spark are widely-used in many organizations for large-scale data analytics. Analyzing and understanding the query execution process of these systems are daily routines for engineers and crucial for identifying performance problems, optimizing system configura... | false | false | [
"Qiaomu Shen",
"Zhengxin You",
"Xiao Yan 0002",
"Chaozu Zhang",
"Ke Xu",
"Dan Zeng 0002",
"Jianbin Qin",
"Bo Tang 0016"
] | [] | [
"V"
] | [
{
"name": "Fast Forward",
"url": "https://youtu.be/pg5fqxrqgFc",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/fYXKIJmLs0g",
"icon": "video"
}
] |
Vis | 2,023 | Quantivine: A Visualization Approach for Large-Scale Quantum Circuit Representation and Analysis | 10.1109/TVCG.2023.3327148 | Quantum computing is a rapidly evolving field that enables exponential speed-up over classical algorithms. At the heart of this revolutionary technology are quantum circuits, which serve as vital tools for implementing, analyzing, and optimizing quantum algorithms. Recent advancements in quantum computing and the incre... | false | false | [
"Zhen Wen",
"Yihan Liu",
"Siwei Tan",
"Jieyi Chen",
"Minfeng Zhu",
"Dongming Han",
"Jianwei Yin",
"Mingliang Xu",
"Wei Chen 0001"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.08969v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/jRw1l1VCzjY",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/Zpy-YQEnPS4",
"icon": "video"
}
] |
Vis | 2,023 | Radial Icicle Tree (RIT): Node Separation and Area Constancy | 10.1109/TVCG.2023.3327178 | Icicles and sunbursts are two commonly-used visual representations of trees. While icicle trees can map data values faithfully to rectangles of different sizes, often some rectangles are too narrow to be noticed easily. When an icicle tree is transformed into a sunburst tree, the width of each rectangle becomes the len... | false | false | [
"Yuanzhe Jin",
"Tim J. A. de Jong",
"Martijn Tennekes",
"Min Chen 0001"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.10481v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/hBAaiCz18EI",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/Qg6gOYXhW_Q",
"icon": "video"
}
] |
Vis | 2,023 | Reclaiming the Horizon: Novel Visualization Designs for Time-Series Data with Large Value Ranges | 10.1109/TVCG.2023.3326576 | We introduce two novel visualization designs to support practitioners in performing identification and discrimination tasks on large value ranges (i.e., several orders of magnitude) in time-series data: (1) The order of magnitude horizon graph, which extends the classic horizon graph; and (2) the order of magnitude lin... | false | false | [
"Daniel Braun 0010",
"Rita Borgo",
"Max Sondag",
"Tatiana von Landesberger"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.10278v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/kqx5KXyM84w",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/ATQJQr5dGpQ",
"icon": "video"
}
] |
Vis | 2,023 | Reducing Ambiguities in Line-Based Density Plots by Image-Space Colorization | 10.1109/TVCG.2023.3327149 | Line-based density plots are used to reduce visual clutter in line charts with a multitude of individual lines. However, these traditional density plots are often perceived ambiguously, which obstructs the user's identification of underlying trends in complex datasets. Thus, we propose a novel image space coloring meth... | false | false | [
"Yumeng Xue",
"Patrick Paetzold",
"Rebecca Kehlbeck",
"Bin Chen",
"Kin Chung Kwan",
"Yunhai Wang",
"Oliver Deussen"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2307.10447v2",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/-9BPVyeWbbs",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/-B164EgzQKs",
"icon": "video"
}
] |
Vis | 2,023 | Residency Octree: A Hybrid Approach for Scalable Web-Based Multi-Volume Rendering | 10.1109/TVCG.2023.3327193 | We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tree traversal. However, in octree volume rendering, tree traversal and t... | false | false | [
"Lukas Herzberger",
"Markus Hadwiger",
"Robert Krüger",
"Peter K. Sorger",
"Hanspeter Pfister",
"Eduard Gröller",
"Johanna Beyer"
] | [] | [
"P",
"V"
] | [
{
"name": "Paper Preprint",
"url": "http://arxiv.org/pdf/2309.04393v1",
"icon": "paper"
},
{
"name": "Fast Forward",
"url": "https://youtu.be/WtaUcnuG-cY",
"icon": "video"
},
{
"name": "Prerecorded Talk",
"url": "https://youtu.be/JCqZaePlqmw",
"icon": "video"
}
] |
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