6 citations · 9 across the 9 of their papers we have counts for
12 papers
Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging
Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay +1
With the availability of commercial Light Field (LF) cameras, LF imaging has emerged as an up and coming technology in computational photography. However, the spatial resolution is…
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…
A CNN With Multi-scale Convolution for Hyperspectral Image Classification using Target-Pixel-Orientation scheme
Jayasree Saha, Yuvraj Khanna, Jayanta Mukherjee
Recently, CNN is a popular choice to handle the hyperspectral image classification challenges. In spite of having such large spectral information in Hyper-Spectral Image(s) (HSI),…
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…
5-DoF Monocular Visual Localization Over Grid Based Floor
Manash Pratim Das, Gaurav Gardi, Jayanta Mukhopadhyay
Reliable localization is one of the most important parts of an MAV system. Localization in an indoor GPS-denied environment is a relatively difficult problem. Current vision based…
Bayesian Optimisation with Prior Reuse for Motion Planning in Robot Soccer
Abhinav Agarwalla, Arnav Kumar Jain, KV Manohar +2
We integrate learning and motion planning for soccer playing differential drive robots using Bayesian optimisation. Trajectories generated using end-slope cubic Bezier splines are…
COSPEDTree-II: Improved Couplet based Phylogenetic Supertree
Sourya Bhattacharyya, Jayanta Mukhopadhyay
A Supertree synthesizes the topologies of a set of phylogenetic trees carrying overlapping taxa set. In process, conflicts in the tree topologies are aimed to be resolved with the…
User Friendly Implementation for Efficiently Conducting Hammersmith Infant Neurological Examination
D. P. Dogra, K. Nandam, A. K. Majumdar +5
The aim of this work is to design a semi-automatic application that can be used as an aid by the doctors for smoothly conducting Hammersmith Infant Neurological Examination (IDNE).…