Jump to content

IEEE Visualization

Edit links
From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Aligef00 (talk | contribs) at 05:37, 11 July 2020. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
IEEE Visualization
AbbreviationVIS
DisciplineVisualization
Publication details
PublisherIEEE Computer Society
History1990-present
FrequencyAnnual

The [| IEEE Visualization Conference (VIS)] is an annual conference on scientific visualization, information visualization, and visual analytics administrated by the IEEE Computer Society Technical Committee on Visualization and Graphics. As ranked by Google Scholar's h-index metric in 2016, VIS is the highest rated venue for visualization research and the second-highest rated conference for computer graphics over all.[1] It has an 'A' rating from the Australian Ranking of ICT Conferences[2] and an 'A' rating from the Brazilian ministry of education. The conference is highly selective with generally < 25% acceptance rates for all papers.[3][4]

Location

The conference is held in October and rotates around the US generally West, Central and East.

Past conferences:

Future conferences:

Awards

VIS Best Paper Award

2019[5]:

  • VAST
    • FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System: Bowen Yu, Claudio Silva
  • InfoVis
    • Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff: Jagoda Walny, Christian Frisson, Mieka West, Doris Kosminsky, Søren Knudsen, Sheelagh Carpendale, Wesley Willett
  • SciVis
    • InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations: Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka

2018:

  • VAST
    • TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis, Dongyu Liu, Panpan Xu, Liu Ren
  • InfoVis
    • Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco, Dominik Moritz, Chenglong Wang, Greg L. Nelson, Halden Lin, Adam M. Smith, Bill Howe, Jeffrey Heer
  • SciVis
    • Deadeye: A Novel Preattentive Visualization Technique Based on Dichoptic Presentation Authors: Andrey Krekhov, Jens Krüger

2017:

  • VAST
    • Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow, Kanit Wongsuphasawat, Daniel Smilkov, James Wexler, Jimbo Wilson, Dandelion Mané, Doug Fritz, Dilip Krishnan, Fernanda B. Viégas, and Martin Wattenberg
  • InfoVis
    • Modeling Color Difference for Visualization Design, Danielle Albers Szafir
  • SciVis
    • Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization, Karl Bladin, Emil Axelsson, Erik Broberg, Carter Emmart, Patric Ljung, Alexander Bock, and Anders Ynnerman

2016:

  • VAST
    • An Analysis of Machine- and Human-Analytics in Classification, Gary K.L. Tam, Vivek Kothari, Min Chen
  • InfoVis
    • Vega-Lite: A Grammar of Interactive Graphics, Arvind Satyanarayan, Dominik Moritz, Kanit Wongsuphasawat, and Jeffrey Heer
  • SciVis
    • Jacobi Fiber Surfaces for Bivariate Reeb Space Computation, Julien Tierny and Hamish Carr

2015

  • VAST
    • Reducing Snapshots to Points: A Visual Analytics Approach to Dynamic Network Exploration, Stef van den Elzen, Danny Holten, Jorik Blaas, Jarke van Wijk
  • InfoVis
    • HOLA: Human-like Orthogonal Network Layout, Steve Kieffer, Tim Dwyer, Kim Marriott, Michael Wybrow
  • SciVis
    • Visualization-by-Sketching: An Artist’s Interface for Creating Multivariate Time-Varying Data, David Schroeder, Daniel Keefe

2014

  • VAST
    • Supporting Communication and Coordination in Collaborative Sensemaking, Narges Mahyar, Melanie Tory
  • InfoVis
    • Multivariate Network Exploration and Presentation: From Detail to Overview via Selections and Aggregations, Stef van den Elzen, Jarke van Wijk
  • SciVis
    • Visualization of Brain Microstructure through Spherical Harmonics Illumination of High Fidelity Spatio-Angular Fields, Sujal Bista, Jiachen Zhou, Rao Gullapalli, Amitabh Varshney

2013

  • VAST
    • A Partition-Based Framework for Building and Validating Regression Models, Thomas Muhlbacher, Harald Piringer
  • InfoVis
    • LineUp: Visual Analysis of Multi-Attribute Rankings, Samuel Gratzl, Alexander Lex, Nils Gehlenborg, Hanspeter Pfister, Marc Streit
  • SciVis
    • Comparative Visual Analysis of Lagrangian Transport in CFD Ensembles, Mathias Hummel, Harald Obermaier, Christoph Garth, Kenneth I. Joy

Technical Achievement Award

Past recipients:

Career Award

To earn the IEEE VGTC Visualization Career Award, an individual must demonstrate that their research and service has had broad impacts on the field over a long period of time.

Past recipients:

References

  1. ^ Kosara, Robert (11 November 2013). "A Guide to the Quality of Different Visualization Venues". eagereyes. Retrieved 6 April 2017.
  2. ^ "Australian Ranking of ICT Conferences". core.edu.au. Archived from the original on 9 April 2013. Retrieved 6 April 2017.
  3. ^ Elmqvist, Niklas. "Top Scientific Conferences and Journals in InfoVis". UMIACS. University of Maryland. Retrieved 6 April 2017.
  4. ^ Boris Schauerte. "Conference Ranks". conferenceranks.com. Retrieved 6 April 2017.
  5. ^ "Best Paper Awards". ieeevis. Retrieved 23 November 2019.
  6. ^ Gröller, Eduard (2019). "The 2019 Visualization Technical Achievement Award" (PDF). 2019 IEEE Conference on Visual Analytics Science and Technology (VAST). Retrieved 23 November 2019.
  7. ^ Ynnerman, Anders (2019). "The 2018 Visualization Technical Achievement Award". 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). 25: xxix. doi:10.1109/TVCG.2018.2874731.
  8. ^ Ebert, David (2016). "The 2016 Visualization Technical Achievement Award". 2016 IEEE Conference on Visual Analytics Science and Technology (VAST): xi. doi:10.1109/VAST.2016.7883503. ISBN 978-1-5090-5661-3.
  9. ^ Dill, John (2017). "The 2016 Visualization Career Award". IEEE Transactions on Visualization and Computer Graphics. 23 (1): xxiv. doi:10.1109/TVCG.2016.2599298. ISSN 1077-2626.
Retrieved from "https://en.wikipedia.org/w/index.php?title=IEEE_Visualization&oldid=967108545"