Scene recognition is an important problem in the field of computer vision, because it helps to
narrow the gap between the computer and the human beings on scene understanding …

Pose variation remains to be a major challenge for realworld face recognition. We approach
this problem through a probabilistic elastic matching method. We take a part based …

Scene recognition has been widely studied to understand visual information from the level of
objects and their relationships. Toward scene recognition, many methods have been …

Deep Learning (DL) has achieved remarkable success in tackling complex Artificial
Intelligence tasks. The standard training of neural networks employs backpropagation to …

It is a remarkable fact that images are related to objects constituting them. In this paper, we
propose to represent images by using objects appearing in them. We introduce the novel …

High-level image representations have drawn increasing attention in visual recognition, eg,
scene classification, since the invention of the object bank. The object bank represents an …

Image classification methods have been significantly developed in the last decade. Most
methods stem from bagof-features (BoF) approach and it is recently extended to a vector …

We propose an adaptive learning procedure to learn patch-based image priors for image
denoising. The new algorithm, called the expectation-maximization (EM) adaptation, takes a …

Safety is a core requirement of the transformer substation where is dangerous due to high
voltage. It requires to detect pedestrians efficiently based on the surveillance video near the …

Mudras in traditional Indian dance forms convey meaningful information when performed by
an artist. The subtle changes between the different mudras in a dance form render automatic …