Machine Learning and Networks
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, and Daniel Keim
Interaction and Physicalization
Data to Physicalization: A Survey of the Physical Rendering Process
Hessam Djavaherpour, Faramarz Samavati, Ali Mahdavi-Amiri, Fatemeh Yazdanbakhsh, Samuel Huron, Richard Levy, Yvonne Jansen, and Lora Oehlberg
Scalar Field Topology and Astrophysics
Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization
Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, and Bei Wang
Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth
Fangfei Lan, Michael Young, Lauren Anderson, Anders Ynnerman, Alexander Bock, Michelle A. Borkin, Angus G. Forbes, Juna A. Kollmeier, and Bei Wang
From Music to Medical Imaging
Uncertainty-aware Visualization in Medical Imaging - A Survey
Christina Gillmann, Dorothee Saur, Thomas Wischgoll, and Gerik Scheuermann

Recent Submissions

  • Uncertainty-aware Visualization in Medical Imaging - A Survey 

    Gillmann, Christina; Saur, Dorothee; Wischgoll, Thomas; Scheuermann, Gerik (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    Medical imaging (image acquisition, image transformation, and image visualization) is a standard tool for clinicians in order to make diagnoses, plan surgeries, or educate students. Each of these steps is affected by ...
  • Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth 

    Lan, Fangfei; Young, Michael; Anderson, Lauren; Ynnerman, Anders; Bock, Alexander; Borkin, Michelle A.; Forbes, Angus G.; Kollmeier, Juna A.; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    We present a state-of-the-art report on visualization in astrophysics. We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks. ...
  • Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization 

    Yan, Lin; Masood, Talha Bin; Sridharamurthy, Raghavendra; Rasheed, Farhan; Natarajan, Vijay; Hotz, Ingrid; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    In topological data analysis and visualization, topological descriptors such as persistence diagrams, merge trees, contour trees, Reeb graphs, and Morse-Smale complexes play an essential role in capturing the shape of ...
  • Data to Physicalization: A Survey of the Physical Rendering Process 

    Djavaherpour, Hessam; Samavati, Faramarz; Mahdavi-Amiri, Ali; Yazdanbakhsh, Fatemeh; Huron, Samuel; Levy, Richard; Jansen, Yvonne; Oehlberg, Lora (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    Physical representations of data offer physical and spatial ways of looking at, navigating, and interacting with data. While digital fabrication has facilitated the creation of objects with data-driven geometry, rendering ...
  • A Survey of Human-Centered Evaluations in Human-Centered Machine Learning 

    Sperrle, Fabian; El-Assady, Mennatallah; Guo, Grace; Borgo, Rita; Chau, Duen Horng; Endert, Alex; Keim, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    Visual analytics systems integrate interactive visualizations and machine learning to enable expert users to solve complex analysis tasks. Applications combine techniques from various fields of research and are consequently ...
  • EuroVis 2021 CGF 40-3 STARs: Frontmatter 

    Smit, Noeska; Vrotsou, Katerina; Wang, Bei (The Eurographics Association and John Wiley & Sons Ltd., 2021)