Automatic segmentation of retinal blood vessels has become a necessary diagnostic procedure
in ophthalmology. The blood vessels consist of two types of vessels, ie, thin vessels and …

Generalized zero-shot learning (GZSL) has achieved significant progress, with many efforts
dedicated to overcoming the problems of visual-semantic domain gaps and seen-unseen …

The key challenge of zero-shot learning (ZSL) is how to infer the latent semantic knowledge
between visual and attribute features on seen classes, and thus achieving a desirable …

Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic
knowledge from seen classes to unseen ones. Semantic knowledge is learned from attribute …

Zero-shot learning (ZSL) tackles the unseen class recognition problem, transferring
semantic knowledge from seen classes to unseen ones. Typically, to guarantee desirable …

This paper addresses the eye gaze tracking problem using a low cost and more convenient
web camera in a desktop environment, as opposed to gaze tracking techniques requiring …

Trajectory prediction aims to predict the movement trend of the agents like pedestrians, bikers,
vehicles. It is helpful to analyze and understand human activities in crowded spaces and …

It remains challenging to automatically segment kidneys in clinical ultrasound (US) images
due to the kidneys’ varied shapes and image intensity distributions, although semi-automatic …

During the third trimester, the human brain undergoes rapid cellular and molecular processes
that reshape the structural architecture of the cerebral cortex. Knowledge of cortical …

Understanding and forecasting future trajectories of agents are critical for behavior analysis,
robot navigation, autonomous cars, and other related applications. Previous methods mostly …