Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Management of brain tumors is based on clinical and radiological information with
presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of …

For autonomous driving systems, vehicle detection is an important part and challenging
problem due to the complex traffic scenes and poor computing resources. This paper …

Automated recognition of texts in scenes has been a research challenge for years, largely
due to the arbitrary text appearance variation in perspective distortion, text line curvature …

Recent adversarial learning research has achieved very impressive progress for modelling
cross-domain data shifts in appearance space but its counterpart in modelling cross-domain …

Recent advances in generative adversarial networks (GANs) have shown great potentials in
realistic image synthesis whereas most existing works address synthesis realism in either …

Brain tumor classification and segmentation for different weighted MRIs are among the most
tedious tasks for many researchers due to the high variability of tumor tissues based on …

The latest research in the field of recognition of image characters has led to various
developments in the modern technological works for the improvement of recognition rate …

Indoor occupancy measurement plays an indispensable role in occupant-based intelligent
control of building systems for energy conservation. In this paper, a novel algorithm is …

In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …