This paper tackles the problem of object counting in images. Existing
ap...
This work considers supervised learning to count from images and their
c...
A tiny object in the sky cannot be an elephant. Context reasoning is cri...
Tremendous progress has been made in continual learning to maintain good...
This paper strives to classify and detect the relationship between objec...
This paper strives to generate a synthetic computed tomography (CT) imag...
The deep image prior has demonstrated the remarkable ability that untrai...
The goal of this paper is guided image filtering, which emphasizes the
i...
Is recurrent network really necessary for learning a good visual
represe...
Nonlinear regression has been extensively employed in many computer visi...
This paper aims to count arbitrary objects in images. The leading counti...
Knowledge of whole heart anatomy is a prerequisite for many clinical
app...
Active Learning (AL) requires learners to retrain the classifier with th...