3 citations · 3 across the 5 of their papers we have counts for
7 papers
Deriving Explanation of Deep Visual Saliency Models
Sai Phani Kumar Malladi, Jayanta Mukhopadhyay, Chaker Larabi +1
Deep neural networks have shown their profound impact on achieving human level performance in visual saliency prediction. However, it is still unclear how they learn the task and w…
Tabular Structure Detection from Document Images for Resource Constrained Devices Using A Row Based Similarity Measure
Soumyadeep Dey, Jayanta Mukhopadhyay, Shamik Sural
Tabular structures are used to present crucial information in a structured and crisp manner. Detection of such regions is of great importance for proper understanding of a document…
Detection and localization of Coronary Arterial Lesion with the Aid of Impedance Cardiography
Sudipta Ghosh, Bhabani Prasad Chattopadhyay, Ram Mohan Roy +2
In recent years, coronary artery disease is escalating and is likely to assume an epidemic proportion by 2030. Currently the reliable methods for detection of coronary arterial les…
RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm
Jayasree Saha, Jayanta Mukhopadhyay
Recently, clustering with deep network framework has attracted attention of several researchers in the computer vision community. Deep framework gains extensive attention due to it…
Efficient Retrieval of Logos Using Rough Set Reducts
Ushasi Chaudhuri, Partha Bhowmick, Jayanta Mukhopadhyay
Searching for similar logos in the registered logo database is a very important and tedious task at the trademark office. Speed and accuracy are two aspects that one must attend to…
Visual Based Navigation of Mobile Robots
Shailja, Soumabh Bhowmick, Jayanta Mukhopadhyay
We have developed an algorithm to generate a complete map of the traversable region for a personal assistant robot using monocular vision only. Using multiple taken by a simple web…