Room layout estimation predicts layouts from a single panorama. It requi...
In this paper, we address the problem of wide-baseline camera pose estim...
Federated learning (FL) has been recognized as one of the most promising...
We present LASER, an image-based Monte Carlo Localization (MCL) framewor...
Capsule networks promise significant benefits over convolutional network...
Purpose: To organize a knee MRI segmentation challenge for characterizin...
Creating large scale high-quality annotations is a known challenge in me...
The performance of the state-of-the-art image segmentation methods heavi...
Adversarial learning has been proven to be effective for capturing long-...
With the development of media and networking technologies, multimedia
ap...
The state of the art lung nodule detection studies rely on computational...
There are at least two categories of errors in radiology screening that ...
Early detection of lung nodules is of great importance in lung cancer
sc...
This study introduced a novel system, called Gaze2Segment, integrating
b...