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  1. Chapter and Conference Paper

    Collaborative Representation of Statistically Independent Filters’ Response: An Application to Face Recognition Under Illicit Drug Abuse Alterations

    Face biometrics is widely deployed in many security and surveillance applications that demand a secure and reliable authentication service. The performance of face recognition systems is primarily based on the...

    Raghavendra Ramachandra, Kiran Raja, Sushma Venkatesh, Christoph Busch in Image Analysis (2017)

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    Chapter and Conference Paper

    Unsupervised Single Image Super-Resolution Using Cycle Generative Adversarial Network

    The current state-of-the-art deep learning based Single Image Super-Resolution (SISR) techniques employ supervised learning in the training process. In this learning, the Low-Resolution (LR) images are prepare...

    Kalpesh Prajapati, Vishal Chudasama in Intelligent Technologies and Applications (2021)

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    Chapter and Conference Paper

    ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation

    Face morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like border checks. While creating a ...

    Naser Damer, Kiran Raja, Marius Süßmilch, Sushma Venkatesh in Advances in Visual Computing (2021)

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    Chapter and Conference Paper

    Channel Attention Network for Wireless Capsule Endoscopy Image Super-Resolution

    Wireless Capsule Endoscopy (WCE) is a technology used for examination of Gastrointestinal (GI) tract. WCE is comparatively pain-free process to examine the parts of GI tract including internal walls of small i...

    Anjali Sarvaiya, Hiren Vaghela, Kishor Upla in Computer Vision and Image Processing (2024)

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    Chapter and Conference Paper

    COMPUSR: Computationally Efficient Unsupervised Super-Resolution Approach for Wireless Capsule Endoscopy

    Wireless Capsule Endoscopy (WCE) is an imaging technology for diseases related to Gastrointestinal (GI) track. However, due to limited hardware, the spatial resolution of acquired images is usually coarser lea...

    Nirban Saha, Anjali Sarvaiya, Kishor Upla in Computer Vision and Image Processing (2024)

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    Chapter and Conference Paper

    MuSTAT: Face Ageing Using Multi-scale Target Age Style Transfer

    Most existing bottleneck-based Generative Adversarial Networks suffer from ghosting artifacts or blur for generating ageing results with an increased age gap. Although this can be solved using data collected o...

    Praveen Kumar Chandaliya, Kiran Raja in Computer Vision and Image Processing (2024)