Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …

Establishing dense correspondences between a pair of images is an important and general
problem, covering geometric matching, optical flow and semantic correspondences. While …

The feature correlation layer serves as a key neural network module in numerous computer
vision problems that involve dense correspondences between image pairs. It predicts a …

This paper considers the generic problem of dense alignment between two images, whether
they be two frames of a video, two widely different views of a scene, two paintings depicting …

Visual place recognition is to estimate the geographical location of a given image, which is
usually addressed by recognizing its similar reference images from a database. The …

Existing approaches for learning local image descriptors have shown remarkable
achievements in a wide range of geometric tasks. However, most of them require per-pixel …

This paper addresses the challenge of localization of anatomical landmarks in knee X-ray
images at different stages of osteoarthritis (OA). Landmark localization can be viewed as …

Image stitching is a fundamental pillar of computer vision, and its effectiveness hinges
significantly on the quality of the feature descriptors. However, the existing feature …

Fully-supervised CNN-based approaches for learning local image descriptors have shown
remarkable results in a wide range of geometric tasks. However, most of them require per …

Deep learning-based image retrieval techniques for the loop closure detection demonstrate
satisfactory performance. However, it is still challenging to achieve high-level performance …