Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
ACM SIGGRAPH 2006 Papers
Adaptive mixtures of local experts
Neural Computation
Interactive Color Palette Tools
IEEE Computer Graphics and Applications
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data-driven image color theme enhancement
ACM SIGGRAPH Asia 2010 papers
Towards computational models of the visual aesthetic appeal of consumer videos
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Learning moods and emotions from color combinations
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Computational color harmony based on coloroid system
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Computer Graphics Forum
DressUp!: outfit synthesis through automatic optimization
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Image colorization with an affective word
CVM'12 Proceedings of the First international conference on Computational Visual Media
Recommendation system for automatic design of magazine covers
Proceedings of the 2013 international conference on Intelligent user interfaces
Probabilistic color-by-numbers: suggesting pattern colorizations using factor graphs
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Modeling how people extract color themes from images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A color schemer for webpage design using interactive mood board
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: human-centred design approaches, methods, tools, and environments - Volume Part I
Affective image adjustment with a single word
The Visual Computer: International Journal of Computer Graphics
Selecting semantically-resonant colors for data visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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This paper studies color compatibility theories using large datasets, and develops new tools for choosing colors. There are three parts to this work. First, using on-line datasets, we test new and existing theories of human color preferences. For example, we test whether certain hues or hue templates may be preferred by viewers. Second, we learn quantitative models that score the quality of a five-color set of colors, called a color theme. Such models can be used to rate the quality of a new color theme. Third, we demonstrate simple proto-types that apply a learned model to tasks in color design, including improving existing themes and extracting themes from images.