State-of-the-art deep learning technology has been successfully applied to relatively small
selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery …

With the advantage of high maneuverability, Unmanned Aerial Vehicles (UAVs) have been
widely deployed in vehicle monitoring and controlling. However, processing the images …

Motion estimation is crucial to predict where other traffic participants will be at a certain
period of time, and accordingly plan the route of the ego-vehicle. This paper presents a …

Instance segmentation is a challenging task in computer vision, as it requires distinguishing
objects and predicting dense areas. Currently, segmentation models based on complex …

Featured Application The proposed scheme can be utilized to develop a computer aided
diagnosis software for assessing psoriasis severity via mobile devices. Abstract In this …

Real-time 3D reconstruction is one of the current popular research directions of computer
vision, and it has become the core technology in the fields of virtual reality, industrialized …

Motion mode (M-mode) recording is an essential part of echocardiography to measure
cardiac dimension and function. However, the current diagnosis cannot build an automatic …

Motion mode (M-mode) echocardiography is essential for measuring cardiac dimension and
ejection fraction. However, the current diagnosis is time-consuming and suffers from …

Environment perception and understanding represent critical aspects in most computer
vision systems and/or applications. State-of-the-art techniques to solve this vision task (eg …

Conveyors are used commonly in industrial production lines and automated sorting systems.
Many applications require fast, reliable, and dynamic detection and recognition for the …