Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

We propose a novel framework for finding correspondences in images based on a deep
neural network that, given two images and a query point in one of them, finds its …

Establishing correspondences between two images requires both local and global spatial
context. Given putative correspondences of feature points in two views, in this paper, we …

Incorporating smoothness constraints into feature matching is known to enable ultra-robust
matching. However, such formulations are both complex and slow, making them unsuitable …

Seeking reliable correspondences between two feature sets is a fundamental and important
task in computer vision. This paper attempts to remove mismatches from given putative …

The goal of correspondence pruning is to recognize correct correspondences (inliers) from
initial ones, with applications to various feature matching based tasks. Seeking neighbors in …

Feature matching, which refers to establishing reliable correspondence between two sets of
features, is a critical prerequisite in a wide spectrum of vision-based tasks. Existing attempts …

This paper focuses on removing mismatches from given putative feature matches created
typically based on descriptor similarity. To achieve this goal, existing attempts usually …

Multilayer perceptron (MLP) has become the de facto backbone in two-view correspondence
learning, for it can extract effective deep features from unordered correspondences …