3 accepted papers
Shooting video with handheld shooting devices often results in blurry frames due to shaking hands and other instability factors. Although previous video deblurring methods have achieved impressive progress, they still struggle to perform satisfactorily on real-world handheld video due to the blur do
Image dehazing, aims to estimate latent haze-free images from hazy images, suffering from a lot of lost information. Existing contrastive learning methods tend to utilize hazefree images as positive samples without consideration of negative samples. Even if negative samples are employed, the connect…
Text detection in natural scenarios, has made significant progress with the deep learning architecture. Towards arbitrary-shaped text detection, fracture detection is the major concern due to the lack of semantic relationship within an instance in existing methods. To circumvent this dilemma, we pro…