Vis 2006 is the premier forum for visualization advances in science
and engineering for academia, government, and industry. This event
brings together researchers and practitioners with a shared interest
in techniques, tools, and technology. The conference will include
workshops, tutorials, papers, panels, demonstrations, posters, and
exhibitions. Vis 2006 was held at
Regency in Baltimore,
Maryland, October 29 - November 3, 2006. Co-located with Vis 2006
was the highly
Symposium: IEEE Symposium on Information Visualization. Also
co-located was the newly
VAST Symposium: IEEE Symposium on Visual Analytics Science and
See you in Sacramento, California, Saturday, October 27, through
Thursday, November 1, 2007 for IEEE
Powerpoint presentations and other supplementary material from IEEE
Visualization 2006 presentations may now be
found and downloaded here.
Congratulations to the following award winners at Vis 2006:
Best Research Paper:
On Histograms and Isosurface Statistics
Hamish Carr, Brian Duffy, Barry Denby
(University College Dublin)
Best Application Paper:
Understanding the Structure of the Turbulent Mixing Layer in
Daniel Laney, Peer-Timo Bremer, Ajith Mascarenhas, Paul Miller,
(Lawrence Livermore National Laboratory)
The conference program is now available.
Click here to download a PDF copy
of the program.
Slide templates are now available.
Please click here for more information.
|New in 2006:
||The 2006 IEEE Visualization Conference and co-located
(Visual Analytics Science and Technology) Symposium will host an
inaugural Doctoral Colloquium to support the next generation of
visualization researchers. Please
||The IEEE Visualization Conference and Information Visualization Symposium proceedings will be published as a Special Issue of the IEEE Transactions on Visualization and Computer Graphics Journal (TVCG). A multi-round review process will be done that is consistent with journal paper reviewing.
||The IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics (VolVis) has been folded into the main conference.
||Amitabh Varshney, University of Maryland
Baoquan Chen, University of Minnesota
Distributed and Collaborative Visualization
Isosurfaces and Surface extraction
Large Data Visualization
Novel Mathematics for Visualization
Parallel Visualization and Graphics Clusters
Security and Network Intrusion Visualization
Time Critical Visualization
Usability and Human Factors in Visualization
Visual Knowledge Discovery
Visualization in Earth, Space, and Environmental Sciences
Visualization in Physical Sciences, Life Sciences and Engineering
Visualization in Social and Information Sciences
Visualization over Networks, Grids, and the Internet