Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

Semantic segmentation is a fundamental task in computer vision, and it has various
applications in fields such as robotic sensing, video surveillance, and autonomous driving. A …

Semantic segmentation is referred to as a process of linking each pixel in an image to a
class label. With this pragmatic technique, it is possible to recognize different objects in an …

Multimodal fusion can make semantic segmentation more robust. However, fusing an
arbitrary number of modalities remains underexplored. To delve into this problem, we create …

Semantic segmentation is a dense pixel prediction task, and its accuracy depends on the
extraction of long-range contextual knowledge and refinement of segmentation boundaries …

Scene understanding based on image segmentation is a crucial component of autonomous
vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting …

Understanding urban scenes is a fundamental ability requirement for assisted driving and
autonomous vehicles. Most of the available urban scene understanding methods use red …

Depth cue has proven to be useful information in the indoor scene understanding of RGB-D
images for providing a geometric counterpart to RGB representation. However, because of …

We recently demonstrated the remarkable performance of scene parsing, and one of its
aspects was shown to be relevant to performance, namely, generation of multilevel feature …

Since light field simultaneously records spatial information and angular information of light
rays, it is considered to be beneficial for many potential applications, and semantic …