Collections of images under a single, uncontrolled illumination have enabled the rapid
advancement of core computer vision tasks like classification, detection, and segmentation …

Intrinsic image decomposition---decomposing a natural image into a set of images
corresponding to different physical causes---is one of the key and fundamental problems of …

In this paper, we describe a new large dataset for illumination estimation. This dataset,
called INTEL-TAU, contains 7022 images in total, which makes it the largest available high …

Abstract We introduce a Large Scale Multi-Illuminant (LSMI) Dataset that contains 7,486
images, captured with three different cameras on more than 2,700 scenes with two or three …

Illumination is a critical element of photography and is essential for many computer vision
tasks. Flash light is unique in the sense that it is a widely available tool for easily …

We propose a simple yet effective reflection-free cue for robust reflection removal from a pair
of flash and ambient (no-flash) images. The reflection-free cue exploits a flash-only image …

White balance (WB) algorithms in many commercial cameras assume single and uniform
illumination leading to undesirable results when multiple lighting sources with different …

Automatic document content processing is affected by artifacts caused by the shape of the
paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on …

Flicker of AC-powered lights is useful for probing the electric grid and unmixing reflected
contributions of different sources. Flicker has been sensed in great detail with a specially …

Decision making under uncertainty is a critical problem in the field of software engineering.
Predicting the software quality or the cost/effort requires high level expertise. AI based …