Aditya Nigam

About Aditya Nigam

Aditya Nigam, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Indian Institute of Technology Mandi, specializes in the field of Deep Learning, Biometrics, Palmprint and Knuckleprint Recognition, Iris Recognition, Multi Biometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A colour image segmentation method and its application to medical images

Vibration Recognition of a Distant Pendulum Using Smartphone

Favoring One Among Equals-Not a Good Idea: Many-to-One Matching for Robust Transformer Based Pedestrian Detection

PA-GAN: Parallel Attention Based Gan for Enhancement of FODF

A deep learning-based approach for the inverse design of the Helmholtz resonators

Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver

Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023

Aditya Nigam Information

University

Position

Assistant Professor in SCEE at

Citations(all)

1518

Citations(since 2020)

1053

Cited By

785

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

48

i10Index(since 2020)

32

Email

University Profile Page

Indian Institute of Technology Mandi

Google Scholar

View Google Scholar Profile

Aditya Nigam Skills & Research Interests

Deep Learning

Biometrics

Palmprint and Knuckleprint Recognition

Iris Recognition

Multi Biometrics

Top articles of Aditya Nigam

Title

Journal

Author(s)

Publication Date

A colour image segmentation method and its application to medical images

Signal, Image and Video Processing

Abdul Halim

BV Rathish Kumar

Ajay Niranjan

Aditya Nigam

Walter Schneider

...

2023/11/28

Vibration Recognition of a Distant Pendulum Using Smartphone

Journal of Vibration Engineering & Technologies

Lokendra Singh

Arpan Gupta

Aditya Nigam

2024/2

Favoring One Among Equals-Not a Good Idea: Many-to-One Matching for Robust Transformer Based Pedestrian Detection

KN Shastry

K Teja

Aditya Nigam

Chetan Arora

2024

PA-GAN: Parallel Attention Based Gan for Enhancement of FODF

Ranjeet Ranjan Jha

Hritik Gupta

Sudhir K Pathak

Ankita Joshi

Walter Schneider

...

2023/4/18

A deep learning-based approach for the inverse design of the Helmholtz resonators

Materials Today Communications

Sourabh Dogra

Lokendra Singh

Aditya Nigam

Arpan Gupta

2023/12/1

Undersampled single-shell to MSMT fODF reconstruction using CNN-based ODE solver

Computer Methods and Programs in Biomedicine

Ranjeet Ranjan Jha

BV Rathish Kumar

Sudhir K Pathak

Walter Schneider

Arnav Bhavsar

...

2023/3/1

Parts Based Attention for Highly Occluded Pedestrian Detection with Transformers

KN Ajay Shastry

Jayesh Chaudhari

Daksh Thapar

Aditya Nigam

Chetan Arora

2023/10/8

Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023

Abhijit Das

Saurabh Atreya

Aritra Mukherjee

Matej Vitek

Haiqing Li

...

2023/9/25

The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias

Ž Emeršić

T Ohki

M Akasaka

T Arakawa

S Maeda

...

2023/9/25

Trganet: Transforming 3t to 7t dmri using trapezoidal rule and graph based attention modules

Medical Image Analysis

Ranjeet Ranjan Jha

BV Rathish Kumar

Sudhir K Pathak

Arnav Bhavsar

Aditya Nigam

2023/7/1

A comprehensive survey and deep learning-based approach for human recognition using ear biometric

Aman Kamboj

Rajneesh Rani

Aditya Nigam

2022/7

Mobile based human identification using forehead creases: Application and assessment under covid-19 masked face scenarios

Rohit Bharadwaj

Gaurav Jaswal

Aditya Nigam

Kamlesh Tiwari

2022

Single-shell to multi-shell dMRI transformation using spatial and volumetric multilevel hierarchical reconstruction framework

Magnetic Resonance Imaging

Ranjeet Ranjan Jha

Gaurav Jaswal

Arnav Bhavsar

Aditya Nigam

2022/4/1

LFANET: Transforming 3T Single-Shell to 7T Multi-Shell DMRI Using Deep Learning Based Leapfrog and Attention

Ranjeet Ranjan Jha

Sudhir K Pathak

Walter Schneider

BV Rathish Kumar

Arnav Bhavsar

...

2022/3/28

EIQA: ear image quality assessment using deep convolutional neural network

Sādhanā

Aman Kamboj

Rajneesh Rani

Aditya Nigam

2022/11/19

FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification

Knowledge-Based Systems

Geetika Arora

Avantika Singh

Aditya Nigam

Hari Mohan Pandey

Kamlesh Tiwari

2022/3/5

MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules

Ranjeet Ranjan Jha

Abhishek Bhardwaj

Devin Garg

Arnav Bhavsar

Aditya Nigam

2022/7/11

A generic framework for deep incremental cancelable template generation

Neurocomputing

Avantika Singh

Chirag Vashist

Pratyush Gaurav

Aditya Nigam

2022/1/7

VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRI

Magnetic Resonance Imaging

Ranjeet Ranjan Jha

Sudhir K Pathak

Vishwesh Nath

Walter Schneider

BV Rathish Kumar

...

2022/7/1

Merry Go Round: Rotate a Frame and Fool a DNN

Daksh Thapar

Aditya Nigam

Chetan Arora

2022

See List of Professors in Aditya Nigam University(Indian Institute of Technology Mandi)

Co-Authors

H-index: 22
Ravinder Nath

Ravinder Nath

National Institute of Technology, Hamirpur

H-index: 18
Arnav bhavsar

Arnav bhavsar

Indian Institute of Technology Mandi

H-index: 16
Padmanabhan Rajan

Padmanabhan Rajan

Indian Institute of Technology Mandi

H-index: 16
Puneet Gupta

Puneet Gupta

Indian Institute of Technology Indore

H-index: 15
Kamlesh Tiwari

Kamlesh Tiwari

Birla Institute of Technology and Science

H-index: 15
Gaurav Jaswal

Gaurav Jaswal

Indian Institute of Technology Delhi

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