Generating robust and reliable correspondences across images is a fundam...
Matching local features across images is a fundamental problem in comput...
Removing outlier correspondences is one of the critical steps for succes...
Learning-based multi-view stereo (MVS) methods have demonstrated promisi...
Learning-based stereo matching has recently achieved promising results, ...
Current bundle adjustment solvers such as the Levenberg-Marquardt (LM)
a...
Temporal camera relocalization estimates the pose with respect to each v...
This work focuses on mitigating two limitations in the joint learning of...
A successful point cloud registration often lies on robust establishment...
While deep learning has recently achieved great success on multi-view st...
The self-supervised learning of depth and pose from monocular sequences
...
Establishing correspondences between two images requires both local and
...
Most existing studies on learning local features focus on the patch-base...
Deep learning has recently demonstrated its excellent performance for
mu...
Accurate relative pose is one of the key components in visual odometry (...
Convolutional Neural Networks (CNNs) have achieved superior performance ...
Learned local descriptors based on Convolutional Neural Networks (CNNs) ...
Critical to the registration of point clouds is the establishment of a s...
We present an end-to-end deep learning architecture for depth map infere...