6 citations · 20 across the 14 of their papers we have counts for
14 papers
Development of Immersive Virtual and Augmented Reality-Based Joint Attention Training Platform for Children with Autism
Ashirbad Samantaray, Taranjit Kaur, Sapna S Mishra +4
Joint Attention (JA), a crucial social skill for developing shared focus, is often impaired in children with Autism Spectrum Disorder (ASD), affecting social communication and high…
Brain Age Group Classification Based on Resting State Functional Connectivity Metrics
Prerna Singh, Kuldeep Singh Yadav, Lalan Kumar +1
This study investigated age-related changes in functional connectivity using resting-state fMRI and explored the efficacy of traditional deep learning for classifying brain develop…
An interactive framework for the evaluation and detection of stereoacuity threshold under ambient lighting
Kritika Lohia, Rijul Saurabh Soans, Rohit Saxena +1
Objective: Our study aims to provide a novel framework for the continuous evaluation of stereoacuity under ambient lighting conditions using Bayesian inference. Methods: We applied…
Integrating Human Vision Perception in Vision Transformers for Classifying Waste Items
Akshat Kishore Shrivastava, Tapan Kumar Gandhi
In this paper, we propose an novel methodology aimed at simulating the learning phenomenon of nystagmus through the application of differential blurring on datasets. Nystagmus is a…
Insights into Age-Related Functional Brain Changes during Audiovisual Integration Tasks: A Comprehensive EEG Source-Based Analysis
Prerna Singh, Ayush Tripathi, Lalan Kumar +1
The seamless integration of visual and auditory information is a fundamental aspect of human cognition. Although age-related functional changes in Audio-Visual Integration (AVI) ha…
Online Poker and Rummy -- Games of Skill or Chance?
Taranjit Kaur, Manas Pati Tripathi, Ashirbad Samantaray +1
The paper aims to investigate the degree of cognitive skills required for success in online versions of the popular card game rummy and poker. The study focuses on analyzing the im…
Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task
Prerna Singh, Ayush Tripathi, Lalan Kumar +1
The process of integration of inputs from several sensory modalities in the human brain is referred to as multisensory integration. Age-related cognitive decline leads to a loss in…
Functional Connectivity Dynamics show Resting-State Instability and Rightward Parietal Dysfunction in ADHD
Rohit Misra, Tapan K. Gandhi
Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in children and is characterised by inattention, impulsiveness and hyperactiv…
Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi +1
Human observers engage in selective information uptake when classifying visual patterns. The same is true of deep neural networks, which currently constitute the best performing ar…
Efficient Video Summarization Framework using EEG and Eye-tracking Signals
Sai Sukruth Bezugam, Swatilekha Majumdar, Chetan Ralekar +1
This paper proposes an efficient video summarization framework that will give a gist of the entire video in a few key-frames or video skims. Existing video summarization frameworks…
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds
Shiva Azimi, Tapan K. Gandhi
Plant Phenomics can be used to monitor the health and the growth of plants. Computer vision applications like stereo reconstruction, image retrieval, object tracking, and object re…
Performance Evalution of 3D Keypoint Detectors and Descriptors for Plants Health Classification
Shiva Azimi, Brejesh lall, Tapan K. Gandhi
Plant Phenomics based on imaging based techniques can be used to monitor the health and the diseases of plants and crops. The use of 3D data for plant phenomics is a recent phenome…
Tumor Classification and Segmentation of MR Brain Images
Tanvi Gupta, Pranay Manocha, Tapan K. Gandhi +2
The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature of this pathology. Magnetic Reso- nance Imaging (MRI) is an…
Automated Tumor Segmentation and Brain Mapping for the Tumor Area
Pranay Manocha, Snehal Bhasme, Tanvi Gupta +2
Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. Magnetic Resonance (MR) is more preferred than Computed Tomography (C…