In Cinematic Virtual Reality (CVR), the viewer of an omnidirectional movie can freely choose
the viewing direction when watching a movie. Therefore, traditional techniques in filmmaking …

Common editing operations performed by professional photographers include the cleanup
operations: de-emphasizing distracting elements and enhancing subjects. These edits are …

This article tackles a new problem setting: reinforcement learning with pixel-wise rewards
(pixelRL) for image processing. After the introduction of the deep Q-network, deep RL has …

In this paper, we propose a novel task for saliency-guided image translation, with the goal of
image-to-image translation conditioned on the user specified saliency map. To address this …

We propose a weakly supervised approach for salient object detection from multi-modal
RGB-D data. Our approach only relies on labels from scribbles, which are much easier to …

Fine-grained visual classification (FGVC) is a challenging computer vision problem, where
the task is to automatically recognise objects from subordinate categories. One of its main …

In information media such as TV programs, digital signage, or web pages, information
content providers often want to guide viewers' attention to a particular location of the display …

Have you ever taken a picture only to find out that an unimportant background object ended
up being overly salient? Or one of those team sports photographs where your favorite player …

Using only a model that was trained to predict where people look at images, and no
additional training data, we can produce a range of powerful editing effects for reducing …

We humans are easily able to instantaneously detect the regions in a visual scene that are
most likely to contain something of interest. Exploiting this pre-selection mechanism called …