74 citations · 138 across the 10 of their papers we have counts for
10 papers
DQNAS: Neural Architecture Search using Reinforcement Learning
Anshumaan Chauhan, Siddhartha Bhattacharyya, S. Vadivel
Convolutional Neural Networks have been used in a variety of image related applications after their rise in popularity due to ImageNet competition. Convolutional Neural Networks ha…
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers
Jiacong Xu, Zixiang Xiong, Shankar P. Bhattacharyya
Two-branch network architecture has shown its efficiency and effectiveness in real-time semantic segmentation tasks. However, direct fusion of high-resolution details and low-frequ…
Assuring Increasingly Autonomous Systems in Human-Machine Teams: An Urban Air Mobility Case Study
Siddhartha Bhattacharyya, Jennifer Davis, Anubhav Gupta +2
As aircraft systems become increasingly autonomous, the human-machine role allocation changes and opportunities for new failure modes arise. This necessitates an approach to identi…
A maximum likelihood estimate of the parameters of the FRB population
Siddhartha Bhattacharyya, Himanshu Tiwari, Somnath Bharadwaj +1
We consider a sample of non-repeating FRBs detected at Parkes, ASKAP, CHIME and UTMOST each of which operates over a different frequency range and has a different detection cr…
Constraining the Fast Radio Burst (FRB) properties using the joint distributions of dispersion measure and fluence of the events detected at Parkes, ASKAP, CHIME and UTMOST
Siddhartha Bhattacharyya, Somnath Bharadwaj
The Parkes, ASKAP, CHIME and UTMOST telescopes, which have all detected FRBs, each works at a different frequency and has a different detection criteria. Using simulations, we have…
Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation
Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi +1
Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bi-level quantum bits often describe qu…
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions
Pranav Kairon, Siddhartha Bhattacharyya
There are numerous models of quantum neural networks that have been applied to variegated problems such as image classification, pattern recognition etc.Quantum inspired algorithms…
FRB event rate predictions for the Ooty Wide Field Array
Siddhartha Bhattacharyya, Apurba Bera, Somnath Bharadwaj +2
We developed a generic formalism to estimate the event rate and the redshift distribution of Fast Radio Bursts (FRBs) in our previous publication (Bera et al. 2016), considering FR…
Gray Image extraction using Fuzzy Logic
Koushik Mondal, Paramartha Dutta, Siddhartha Bhattacharyya
Fuzzy systems concern fundamental methodology to represent and process uncertainty and imprecision in the linguistic information. The fuzzy systems that use fuzzy rules to represen…
Feature Based Fuzzy Rule Base Design for Image Extraction
Koushik Mondal, Paramartha Dutta, Siddhartha Bhattacharyya
In the recent advancement of multimedia technologies, it becomes a major concern of detecting visual attention regions in the field of image processing. The popularity of the termi…