As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …

Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …

Image registration is a fundamental medical image analysis task, and a wide variety of
approaches have been proposed. However, only a few studies have comprehensively …

In recent years, deep-learning-based hyperspectral image (HSI) classification methods have
achieved significant development. The superior capability of feature extraction from these …

We propose a novel video frame interpolation algorithm based on asymmetric bilateral
motion estimation (ABME), which synthesizes an intermediate frame between two input …

Animals have evolved highly functional visual systems to understand motion, assisting
perception even under complex environments. In this paper, we work towards develo** a …

In this paper, we describe a graph-based algorithm that uses the features obtained by a self-
supervised transformer to detect and segment salient objects in images and videos. With this …

Full-motion cost volumes play a central role in current state-of-the-art optical flow methods.
However, constructed using simple feature correlations, they lack the ability to encapsulate …

Optical flow is a classical task that is important to the vision community. Classical optical flow
estimation uses two frames as input whilst some recent methods consider multiple frames to …

Event cameras such as DAVIS can simultaneously output high temporal resolution events
and low frame-rate intensity images, which own great potential in capturing scene motion …