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20172025
most citedEfficient Video Summarization Framework using EEG and Eye-tracking Signals

6 citations · 20 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.CV2023★ 1 cited

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…

cs.CV2021★ 1 cited

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…

cs.CV2021★ 6 cited

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…

cs.CV2019★ 2 cited

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…

cs.CV2019

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…

cs.CV2017★ 6 cited

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…

cs.CV2017★ 3 cited

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…