Shadow removal is an essential task for scene understanding. Many studies consider only
matching the image contents, which often causes two types of ghosts: color in-consistencies …

Shadow removal is a challenging task as it requires the detection/annotation of shadows as
well as semantic understanding of the scene. In this paper, we propose an automatic and …

Shadow detection is a fundamental and challenging task, since it requires an understanding
of global image semantics and there are various backgrounds around shadows. This paper …

Shadow detection and shadow removal are fundamental and challenging tasks, requiring
an understanding of the global image semantics. This paper presents a novel deep neural …

This paper introduces training of shadow detectors under the large-scale dataset paradigm.
This was previously impossible due to the high cost of precise shadow annotation. Instead …

Shadow detection is an important and challenging task for scene understanding. Despite
promising results from recent deep learning based methods. Existing works still struggle with …

Shadow removal is an essential task in computer vision and computer graphics. Recent
shadow removal approaches all train convolutional neural networks (CNN) on real paired …

We consider the task of automated estimation of facial expression intensity. This involves
estimation of multiple output variables (facial action units---AUs) that are structurally …

Instance shadow detection is a brand new problem, aiming to find shadow instances paired
with object instances. To approach it, we first prepare a new dataset called SOBA, named …

Existing shadow detection datasets often contain missing or mislabeled shadows, which can
hinder the performance of deep learning models trained directly on such data. To address …