While showing promising results, recent RGB-D camera-based category-leve...
Due to the domain differences and unbalanced disparity distribution acro...
3D point cloud registration in remote sensing field has been greatly adv...
Even though considerable progress has been made in deep learning-based 3...
Remarkable results have been achieved by DCNN based self-supervised dept...
3D object detection is a key perception component in autonomous driving....
3D object detection from a single image is an important task in Autonomo...
Depth completion aims to recover a dense depth map from a sparse depth m...
Excavators are widely used for material-handling applications in unstruc...
We present a novel approach to detect, segment, and reconstruct complete...
Despite the remarkable progresses made in deep-learning based depth map
...
In this paper, we present a minimal torque and time variable trajectory
...
Conventional absolute camera pose via a Perspective-n-Point (PnP) solver...
In 2D/3D object detection task, Intersection-over-Union (IoU) has been w...
Autonomous driving has attracted remarkable attention from both industry...
Deep convolutional neural network (DCNN) has been successfully applied t...
Depth image super-resolution is an extremely challenging task due to the...