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 robots and other intelligent agents move from simple environments and problems to more
complex, unstructured settings, manually programming their behavior has become …

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 …

Comparing probability distributions is a fundamental problem in data sciences. Simple
norms and divergences such as the total variation and the relative entropy only compare …

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 …

Before the deep learning revolution, many perception algorithms were based on runtime
optimization in conjunction with a strong prior/regularization penalty. A prime example of this …

Feature matching, which refers to establishing reliable correspondences between two sets
of feature points, is a critical prerequisite in feature-based image registration. This paper …

The current dominant paradigm for imitation learning relies on strong supervision of expert
actions to learn both'what'and'how'to imitate. We pursue an alternative paradigm wherein an …

Feature matching, which refers to establishing reliable correspondence between two sets of
features (particularly point features), is a critical prerequisite in feature-based registration. In …

Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …