Deep Neural Networks (DNNs) have been extensively used in multiple disciplines due to
their superior performance. However, in most cases, DNNs are considered as black-boxes …

Visual design tasks often involve tuning many design parameters. For example, color
grading of a photograph involves many parameters, some of which non-expert users might …

Parameter tweaking is a common task in various design scenarios. For example, in color
enhancement of photographs, designers tweak multiple parameters such as" brightness" …

Many design tasks involve parameter adjustment, and designers often struggle to find
desirable parameter value combinations by manipulating sliders back and forth. For such a …

The evaluation of interactive machine learning systems remains a difficult task. These
systems learn from and adapt to the human, but at the same time, the human receives …

Interior scene colorization is vastly demanded in areas such as personalized architecture
design. Existing works either require manual efforts to colorize individual objects or conform …

Color filters are ubiquitous across visual digital media due to their transformative effect.
However, it can be difficult to understand how a color filter will affect an image, especially for …

Adaptive user interfaces (UIs) automatically change an interface to better support users'
tasks. Recently, machine learning techniques have enabled the transition to more powerful …

Repetitive patterns are ubiquitous in natural and human-made objects, and can be created
with a variety of tools and methods. Manual authoring provides unmatched degree of …

As the number of selectable items increases, point-and-click interfaces rapidly become
complex, leading to a decrease in usability. Adaptive user interfaces can reduce this …