Search Results for author: M. Mani Roja

Found 4 papers, 2 papers with code

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks

1 code implementation Springer Journal of Computational Visual Media (CVM), Tsinghua University Press 2020 Aman Chadha, John Britto, M. Mani Roja

However, generative adversarial networks (GANs) offer a competitive advantage by being able to mitigate the issue of a lack of finer texture details, usually seen with CNNs when super-resolving at large upscaling factors.

Generative Adversarial Network Image Super-Resolution +2

iSeeBetter: Spatio-temporal video super-resolution using recurrent generative back-projection networks

1 code implementation13 Jun 2020 Aman Chadha, John Britto, M. Mani Roja

However, generative adversarial networks (GANs) offer a competitive advantage by being able to mitigate the issue of a lack of finer texture details, usually seen with CNNs when super-resolving at large upscaling factors.

Generative Adversarial Network Image Super-Resolution +2

A robust, low-cost approach to Face Detection and Face Recognition

no code implementations4 Nov 2011 Divya Jyoti, Aman Chadha, Pallavi Vaidya, M. Mani Roja

The proposed Face Detection and Recognition system using Discrete Wavelet Transform (DWT) accepts face frames as input from a database containing images from low cost devices such as VGA cameras, webcams or even CCTV's, where image quality is inferior.

Face Detection Face Recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.