High dynamic range (HDR) imaging aims to retrieve information from multi...
Multi-sensor clues have shown promise for object segmentation, but inher...
Mobile mapping, in particular, Mobile Lidar Scanning (MLS) is increasing...
With the recent advances in autonomous driving and the decreasing cost o...
RGB-D saliency detection aims to fuse multi-modal cues to accurately loc...
Depth cues are known to be useful for visual perception. However, direct...
Moving Object Detection (MOD) is a critical vision task for successfully...
Efficiently exploiting multi-modal inputs for accurate RGB-D saliency
de...
Recent RGB-D semantic segmentation has motivated research interest thank...
Monocular depth estimation has been a popular area of research for sever...
Recent RGBD-based models for saliency detection have attracted research
...
Conventional 2D Convolutional Neural Networks (CNN) extract features fro...
Automatic discovery of category-specific 3D keypoints from a collection ...
In the last few years, there has been a growing interest in taking advan...
The problem of 3D layout recovery in indoor scenes has been a core resea...
We propose a novel FCN able to work with omnidirectional images that out...