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2025

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Computer Science

D-Index
37
Citations
4716
World Ranking
10910
National Ranking
36

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Kiran B. Raja is affiliated with the Norwegian University of Science and Technology in Norway. Their research primarily spans the domain of computer science, with a focus on computer vision and pattern recognition, signal processing, and artificial intelligence.

The scientist's work encompasses a range of topics including face recognition and analysis, biometric identification and security, advanced image processing techniques, generative adversarial networks and image synthesis, face and expression recognition, facial nerve paralysis treatment and research, and user authentication and security systems.

Kiran B. Raja has published extensively, including notable papers such as:

  • Face Morphing Attack Generation and Detection: A Comprehensive Survey (2021) in IEEE Transactions on Technology and Society
  • MIPGAN-Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN (2021) in IEEE Transactions on Biometrics Behavior and Identity Science
  • Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking (2020) in arXiv (Cornell University)
  • Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation (2020) in Image and Vision Computing
  • A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods (2023) in Electronics

The venues where Kiran B. Raja frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • IET Biometrics
  • IEEE Transactions on Technology and Society

Frequent coauthors working alongside Kiran B. Raja are:

  • Raghavendra Ramachandra
  • Christoph Busch
  • Naser Damer
  • Sushma Venkatesh
  • Kishor Upla

Best Publications

  • Smartphone based visible iris recognition using deep sparse filtering

    Kiran B. Raja;R. Raghavendra;Vinay Krishna Vemuri;Christoph Busch

  • Transferable Deep-CNN Features for Detecting Digital and Print-Scanned Morphed Face Images

    R. Raghavendra;Kiran B. Raja;Sushma Venkatesh;Christoph Busch

  • Presentation Attack Detection for Face Recognition Using Light Field Camera

    R. Raghavendra;Kiran B. Raja;Christoph Busch

  • Detecting morphed face images

    R. Raghavendra;Kiran B. Raja;Christoph Busch

  • Fake Face Detection Methods: Can They Be Generalized?

    Ali Khodabakhsh;Raghavendra Ramachandra;Kiran Raja;Pankaj Wasnik

  • On the vulnerability of face recognition systems towards morphed face attacks

    Ulrich Scherhag;R. Raghavendra;K. B. Raja;M. Gomez-Barrero

  • Face Morphing Attack Generation and Detection: A Comprehensive Survey

    Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja;Christoph Busch

  • MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN

    Haoyu Zhang;Sushma Venkatesh;Raghavendra Ramachandra;Kiran Raja

  • Face presentation attack detection across spectrum using time-frequency descriptors of maximal response in Laplacian scale-space

    R. Raghavendra;Kiran B. Raja;Sebastien Marcel;Christoph Busch

  • Multi-modal authentication system for smartphones using face, iris and periocular

    Kiran B. Raja;R. Raghavendra;Martin Stokkenes;Christoph Busch

  • Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? - Vulnerability and Detection

    Sushma Venkatesh;Haoyu Zhang;Raghavendra Ramachandra;Kiran Raja

  • Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking

    Kiran Raja;Matteo Ferrara;Annalisa Franco;Luuk Spreeuwers

  • NTIRE 2021 NonHomogeneous Dehazing Challenge Report

    Codruta O. Ancuti;Cosmin Ancuti;Florin-Alexandru Vasluianu;Radu Timofte

  • A low-cost multimodal biometric sensor to capture finger vein and fingerprint

    Ramachandra Raghavendra;Kiran B. Raja;Jayachander Surbiryala;Christoph Busch

  • Video Presentation Attack Detection in Visible Spectrum Iris Recognition Using Magnified Phase Information

    K. B. Raja;R. Raghavendra;C. Busch

  • ContlensNet: Robust Iris Contact Lens Detection Using Deep Convolutional Neural Networks

    R. Raghavendra;Kiran B. Raja;Christoph Busch

  • Combining Iris and Periocular Recognition Using Light Field Camera

    R. Raghavendra;Kiran B. Raja;Bian Yang;Christoph Busch

  • Cross-Eyed - Cross-Spectral Iris/Periocular Recognition Database and Competition

    Ana Sequeira;Lulu Chen;Peter Wild;James Ferryman

  • Binarized statistical features for improved iris and periocular recognition in visible spectrum

    Kiran B. Raja;R. Raghavendra;Christoph Busch

  • Towards making Morphing Attack Detection robust using hybrid Scale-Space Colour Texture Features

    Raghavendra Ramachandra;Sushma Venkatesh;Kiran Raja;Christoph Busch

  • NTIRE 2021 Learning the Super-Resolution Space Challenge

    Andreas Lugmayr;Martin Danelljan;Radu Timofte;Christoph Busch

Frequent Co-Authors

Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Arjan Kuijper
Arjan Kuijper Fraunhofer Society
Christian Rathgeb
Christian Rathgeb Darmstadt University of Applied Sciences
Raymond N.J. Veldhuis
Raymond N.J. Veldhuis University of Twente
Fernando Alonso-Fernandez
Fernando Alonso-Fernandez Halmstad University
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Josef Bigun
Josef Bigun Halmstad University
Radu Timofte
Radu Timofte University of Wurzburg
Davide Maltoni
Davide Maltoni University of Bologna
Julian Fierrez
Julian Fierrez Autonomous University of Madrid

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