Reconstructing semantic 3D building models at the level of detail (LoD) ...
Point clouds are widely regarded as one of the best dataset types for ur...
Semantic 3D building models are widely available and used in numerous
ap...
Recent works on 3D single object tracking treat the tracking as a
target...
We present the current state of development of the sensor-equipped car
M...
Registration is a fundamental but critical task in point cloud processin...
We tackle the problem of object completion from point clouds and propose...
In this work, we propose a novel neural network focusing on semantic lab...
We tackle the problem of place recognition from point cloud data and
int...
Vehicles are the most concerned investigation target as a dynamic and
es...
We present a new dataset to evaluate monocular, stereo, and plenoptic ca...
Very High Spatial Resolution (VHSR) large-scale SAR image databases are ...
We present an end-to-end trainable deep convolutional neural network (DC...