Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …

Fine-grained object classification attracts increasing attention in multimedia applications.
However, it is a quite challenging problem due to the subtle interclass difference and large …

Visual saliency analysis detects salient regions/objects that attract human attention in
natural scenes. It has attracted intensive research in different fields such as computer vision …

Object detection plays an active role in remote sensing applications. Recently, deep
convolutional neural network models have been applied to automatically extract features …

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 …

Research in psychology demonstrates that visual features and semantic content can convey
various emotions. Furthermore, studies have proved that image emotion and aesthetics are …

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 …

Augmented Reality has traditionally been used to display digital overlays in real
environments. Many AR applications such as remote collaboration, picking tasks, or …

Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …