Existing inverse rendering combined with neural rendering methods can only perform
editable novel view synthesis on object-specific scenes, while we present intrinsic neural …

In this paper, we address the problem of shadow detection and removal from single images
of natural scenes. Differently from traditional methods that explore pixel or edge information …

In this paper, we address the problem of shadow detection and removal from single images
of natural scenes. Different from traditional methods that explore pixel or edge information …

Background subtraction is a key prerequisite for a wide range of image processing
applications due to its pervasiveness in various contexts. In particular, video surveillance …

Given a single outdoor image, we present a method for estimating the likely illumination
conditions of the scene. In particular, we compute the probability distribution over the sun …

The main cell systems of the retina that provide input to the striate cortex are now well
described, although certain aspects of their anatomy and physiology remain contentious …

Intrinsic imaging or intrinsic image decomposition has traditionally been described as the
problem of decomposing an image into two layers: a reflectance, the albedo invariant color …

Detecting shadows from images can significantly improve the performance of several vision
tasks such as object detection and tracking. Recent approaches have mainly used …

Cast shadows induced by moving objects often cause serious problems to many vision
applications. We present in this paper an online statistical learning approach to model the …

While the field of computer vision drives many of today's digital technologies and
communication networks, the topic of color has emerged only recently in most computer …