2026 A. N. Rajagopalan: Electronics and Electrical Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7628	7408	81	80	222	7249
Electronics and Electrical Engineering	39	4668	4481	54	54	196	6877

Research.com Recognitions

Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)
Fellow of the Indian National Academy of Engineering (INAE)

Overview

A. N. Rajagopalan is affiliated with the Indian Institute of Technology Madras in India and has an extensive publication record in fields related to computer science and engineering. Their research primarily spans computer vision and pattern recognition, as well as media technology, with additional work intersecting atomic and molecular physics, cellular and molecular neuroscience, and ophthalmology.

The main topics of Rajagopalan's work include advanced image processing techniques, advanced vision and imaging, image processing techniques and applications, image and signal denoising methods, image enhancement techniques, generative adversarial networks and image synthesis, and optical measurement and interference techniques.

Frequent co-authors collaborating with Rajagopalan include Maitreya Suin, Kuldeep Purohit, Praveen Kandula, Radu Timofte, and Snehal Singh Tomar.

Rajagopalan's research has been published in a variety of venues, with multiple contributions to arXiv (Cornell University), the Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Journal of Selected Topics in Signal Processing, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and Lecture Notes in Computer Science.

An Efficient Framework for Dense Video Captioning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
NTIRE 2021 Depth Guided Image Relighting Challenge, 2021, Infoscience (Ecole Polytechnique Fédérale de Lausanne)
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results, 2020, Lecture Notes in Computer Science
Degradation Aware Approach to Image Restoration Using Knowledge Distillation, 2020, IEEE Journal of Selected Topics in Signal Processing
Fast Motion-Deblurring of IR Images, 2022, IEEE Signal Processing Letters

Awards recognitions include the status of Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

Identification of humans using gait

A. Kale;A. Sundaresan;A.N. Rajagopalan;N.P. Cuntoor

841
Citations
Depth From Defocus: A Real Aperture Imaging Approach

Subhasis Chaudhuri;A. N. Rajagopalan;Alex Paul Pentland

363
Citations
Gait analysis for human identification

A. Kale;N. Cuntoor;B. Yegnanarayana;A. N. Rajagopalan

363
Citations
Gait-based recognition of humans using continuous HMMs

A. Kale;A.N. Rajagopalan;N. Cuntoor;V. Kruger

303
Citations
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring

Maitreya Suin;Kuldeep Purohit;A. N. Rajagopalan

294
Citations
Off-line signature verification using DTW

A. Piyush Shanker;A. N. Rajagopalan

261
Citations
Super-Resolution of Face Images Using Kernel PCA-Based Prior

Ayan Chakrabarti;A.N. Rajagopalan;Rama Chellappa

218
Citations
Depth estimation and image restoration using defocused stereo pairs

A.N. Rajagopalan;S. Chaudhuri;Uma Mudenagudi

193
Citations
PIRM challenge on perceptual image enhancement on smartphones: Report

Andrey Ignatov;Radu Timofte;Thang Van Vu;Tung Minh Luu

159
Citations
Superresolution of License Plates in Real Traffic Videos

K.V. Suresh;G.M. Kumar;A.N. Rajagopalan

155
Citations
Finding faces in photographs

A.N. Rajagopalan;K.S. Kumar;J. Karlekar;R. Manivasakan

152
Citations
Blur-Invariant Deep Learning for Blind-Deblurring

T M Nimisha;Akash Kumar Singh;A N Rajagopalan

145
Citations
An MRF model-based approach to simultaneous recovery of depth and restoration from defocused images

A.N. Rajagopalan;S. Chaudhuri

139
Citations
Human Face Detection in Cluttered Color Images Using Skin Color, Edge Information.

K. Sandeep;A. N. Rajagopalan

112
Citations
Spatially-Adaptive Image Restoration using Distortion-Guided Networks.

Kuldeep Purohit;Maitreya Suin;A. N. Rajagopalan;Vishnu Naresh Boddeti

110
Citations
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr;Nam Hyung Joon;Yu Seung Won;Guisik Kim

109
Citations
Region-Adaptive Dense Network for Efficient Motion Deblurring.

Kuldeep Purohit;A. N. Rajagopalan

106
Citations
Higher order statistical learning for vehicle detection in images

A.N. Rajagopalan;P. Burlina;R. Chellappa

98
Citations
Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose

Abhijith Punnappurath;Ambasamudram Narayanan Rajagopalan;Sima Taheri;Rama Chellappa

85
Citations
A variational approach to recovering depth from defocused images

A.N. Rajagopalan;S. Chaudhuri

81
Citations
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang;Martin Danelljan;Yawei Li;Radu Timofte

14
Citations

Frequent Co-Authors

Subhasis Chaudhuri Indian Institute of Technology Bombay

Rama Chellappa Johns Hopkins University

Radu Timofte University of Wurzburg

Guna Seetharaman United States Naval Research Laboratory

Jian Cheng Chinese Academy of Sciences

Gerhard Rigoll Technical University of Munich

Chao Dong Shenzhen Institutes of Advanced Technology

Yanyun Qu Xiamen University

Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)

Sabine Süsstrunk École Polytechnique Fédérale de Lausanne

External Links

Personal website of A. N. Rajagopalan

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