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Dr Puneet Goyal

vidwan id: 99550
Male

Associate Professor, Department of Computer Science and Engineering
Indian Institute of Technology Ropar

Expertise

  • Computer Science Information Systems

Publications

Total Articles 63
Books 0
Proceedings 0

Publications

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Scopus

Citations 380
h-index 10

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Citations 0
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Professional Recognition

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Bio

Image Processing, Security and Analytics, Deep learning, Vision

Personal Details

  • Male
  • Associate Professor , Indian Institute of Technology Ropar
  • Indian Institute of Technology Ropar, Bara Phool, Birla Seed Farms
Ph.D
Other Institute 2010
Associate Professor Apr 2022 – Present
Indian Institute of Technology Ropar | Department of Computer Science and Engineering
Assistant Professor May 2016 – Apr 2022
Indian Institute of Technology Ropar | Department of Computer Science and Engineering

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Co-Authors (6)

Kapil

Dr Kapil Rana

Thapar Institute of Engineering & Technology

Nitin

Dr Nitin Khana

Indian Institute of Technology, Bhilai

Sahil

Dr Sahil Verma

Shree Guru Gobind Singh Tricentenary University, Gurgaon

Sudeepta

Dr Sudeepta Mishra

Indian Institute of Technology Ropar

Vijay Lakshmi

Ms Vijay Lakshmi

UTTARANCHAL UNIVERSITY, DEHRADUN

Scholarly Work

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Scholarly Publications

BuRnSNet: BURN REGION SEGMENTATION NETWORK FROM COLOR IMAGES WITH TWO-WAY CNN

Open Access
Conference Paper

Dual-branch convolutional neural network for robust camera model identification[Formula presented]

Open Access
Article

Iterative spectral correlation based multispectral image demosaicking

Open Access
Article

A novel privacy protection approach with better human imperceptibility

Open Access
Article

IPDCN2: Improvised Patch-based Deep CNN for facial retouching detection

Open Access
Article

An Effective CNN-Based Method for Camera Model Identification in Privacy Preserving Settings

Open Access
Conference Paper

Generic multispectral demosaicking using spectral correlation between spectral bands and pseudo-panchromatic image

Open Access
Article

SNRCN2: Steganalysis noise residuals based CNN for source social network identification of digital images

Open Access
Article