Timely monitoring of pavement cracks is essential for successful maintenance of road
infrastructure. Accurate information concerning crack location and severity enables proactive …

This paper addresses the problem of rain streak removal from a single image. Rain streaks
impair visibility of an image and introduce undesirable interference that can severely affect …

We present an approach to separating reflection from a single image. The approach uses a
fully convolutional network trained end-to-end with losses that exploit low-level and high …

Images captured through the glass often consist of undesirable specular reflections. These
reflections detected in front of the glass remarkably reduce the quality and visibility of the …

This paper proposes a deep neural network structure that exploits edge information in
addressing representative low-level vision tasks such as layer separation and image …

Removing undesirable reflections from a single image captured through a glass window is
of practical importance to visual computing systems. Although state-of-the-art methods can …

Reflections often obstruct the desired scene when taking photos through glass panels.
Removing unwanted reflection automatically from the photos is highly desirable. Traditional …

We present a novel, purely affinity-based natural image matting algorithm. Our method relies
on carefully defined pixel-to-pixel connections that enable effective use of information …

Glass is very common in our daily life. Existing computer vision systems neglect it and thus
may have severe consequences, eg, a robot may crash into a glass wall. However, sensing …

This paper proposes a novel location-aware deep-learning-based single image reflection
removal method. Our network has a reflection detection module to regress a probabilistic …