Monocular depth estimation has drawn widespread attention from the visio...
Online unsupervised video object segmentation (UVOS) uses the previous f...
Image keypoints and descriptors play a crucial role in many visual
measu...
With the improvement of sensor technology and significant algorithmic
ad...
Monocular depth estimation plays a fundamental role in computer vision. ...
This work aims to estimate a high-quality depth map from a single RGB im...
Unsupervised monocular trained depth estimation models make use of adjac...
Unsupervised video object segmentation (UVOS) aims at automatically
sepa...
Deep stereo matching has made significant progress in recent years. Howe...
The generative adversarial network (GAN) is successfully applied to stud...
Recently, self-supervised learning technology has been applied to calcul...
Existing methods detect the keypoints in a non-differentiable way, there...
Semi-supervised video object segmentation (VOS) aims to segment a few mo...
Keypoints matching is a pivotal component for many image-relevant
applic...
Depth estimation is getting a widespread popularity in the computer visi...
It is challenging to stitch multiple images with different exposures due...
Spatially varying exposure (SVE) is a promising choice for high-dynamic-...
Localizing pre-visited places during long-term simultaneous localization...
Features play an important role in various visual tasks, especially in v...
The most concentrated application of lower-limb rehabilitation exoskelet...
Real-time depth completing is a critical problem for robotics and autono...
An originally chaotic system can be controlled into various periodic
dyn...