164 citations · 289 across the 19 of their papers we have counts for
9 papers · 1 filter
UNet Based Pipeline for Lung Segmentation from Chest X-Ray Images
Shashank Shekhar, Ritika Nandi, H Srikanth Kamath
Biomedical image segmentation is one of the fastest growing fields which has seen extensive automation through the use of Artificial Intelligence. This has enabled widespread adopt…
Instantaneous Channel Oblivious Phase Shift Design for an IRS-Assisted SIMO System with Quantized Phase Shift
Shashank Shekhar, Athira Subhash, Tejesh Kella +1
We design the phase shifts of an intelligent reflecting surface (IRS)-assisted single-input-multiple-output communication system to minimize the outage probability (OP) and to maxi…
Robust Planning for Human-Robot Joint Tasks with Explicit Reasoning on Human Mental State
Anthony Favier, Shashank Shekhar, Rachid Alami
We consider the human-aware task planning problem where a human-robot team is given a shared task with a known objective to achieve. Recent approaches tackle it by modeling it as a…
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method
Mrinal Haloi, Shashank Shekhar, Nikhil Fande +2
Recent deep learning approaches in table detection achieved outstanding performance and proved to be effective in identifying document layouts. Currently, available table detection…
SINR Analysis of an IRS Assisted MU-MISO System
Lakshmi Jayalal, Shashank Shekhar, Athira Subhash +1
In this work, we characterize the outage probability (OP) of an intelligent reflecting surface (IRS) assisted multi-user multiple-input-single-output (MU-MISO) communication system…
Software-defined Dynamic 5G Network Slice Management for Industrial Internet of Things
Ziran Min, Shashank Shekhar, Charif Mahmoudi +3
This paper addresses the challenges of delivering fine-grained Quality of Service (QoS) and communication determinism over 5G wireless networks for real-time and autonomous needs o…
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher, Robert Geirhos, Shashank Shekhar +2
Widely observed neural scaling laws, in which error falls off as a power of the training set size, model size, or both, have driven substantial performance improvements in deep lea…
An Ensemble Model for Face Liveness Detection
Shashank Shekhar, Avinash Patel, Mrinal Haloi +1
In this paper, we present a passive method to detect face presentation attack a.k.a face liveness detection using an ensemble deep learning technique. Face liveness detection is on…
A Comparative study of Hyper-Parameter Optimization Tools
Shashank Shekhar, Adesh Bansode, Asif Salim
Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its utility for model perfo…