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  1. No Access

    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)

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    Chapter and Conference Paper

    SRTGAN: Triplet Loss Based Generative Adversarial Network for Real-World Super-Resolution

    Many applications such as forensics, surveillance, satellite imaging, medical imaging, etc., demand High-Resolution (HR) images. However, obtaining an HR image is not always possible due to the limitations of ...

    Dhruv Patel, Abhinav Jain, Simran Bawkar in Computer Vision and Image Processing (2023)

  5. Chapter

    Adversarial Attacks on Face Recognition Systems

    Face  has been widely used for identity verification both in supervised and unsupervised access control applications. The advancement in deep neural networks has opened up the possibility of scaling it to m...

    Ying Xu, Kiran Raja, Raghavendra Ramachandra in Handbook of Digital Face Manipulation and … (2022)

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    Chapter and Conference Paper

    Face Presentation Attack Detection Using Multi-classifier Fusion of Off-the-Shelf Deep Features

    Face recognition systems are vulnerable to the presentation (or spoof or direct) attacks that can be carried out by presenting the face artefact corresponding to the legitimate user. Thus, it is essential to d...

    Raghavendra Ramachandra, Jag Mohan Singh in Computer Vision and Image Processing (2020)