This paper presents a framework that combines traditional keypoint-based...
In the light of recent analyses on privacy-concerning scene revelation f...
As autonomous driving and augmented reality evolve, a practical concern ...
We tackle the problem of visual localization under changing conditions, ...
Learning-based stereo matching has recently achieved promising results, ...
Current bundle adjustment solvers such as the Levenberg-Marquardt (LM)
a...
Recent learning-based approaches, in which models are trained by single-...
In this paper, we present a joint multi-task learning framework for sema...
Temporal camera relocalization estimates the pose with respect to each v...
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...
In this paper, we tackle the accurate and consistent Structure from Moti...