Microarchitectural analysis of a GPU implementation of the Most Apparent Distortion image quality assessment algorithm. - Vignesh Kannan; Joshua Holloway; Sohum Sohoni; Damon M. Chandler (IQSP, 2017)

GPU Acceleration of the Most Apparent Distortion Image Quality Assessment Algorithm. - Joshua Holloway; Vignesh Kannan; Yi Zhang 033; Damon M. Chandler; Sohum Sohoni (J. Imaging, 2018)

Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model. - Vignesh Kannan; Sameer Malik; Rajiv Soundararajan (CoRR, 2022)

EG-SIF: Improving Appearance Based Gaze Estimation using Self Improving Features. - Vasudev Singh; Chaitanya Langde; Sourav Lakotia; Vignesh Kannan; Shuaib Ahmed (Gaze Meets ML, 2023)

No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images. - Nithin C. Babu; Vignesh Kannan; Rajiv Soundararajan (WACV, 2023)

Quality Assessment of Low-Light Restored Images: A Subjective Study and an Unsupervised Model. - Vignesh Kannan; Sameer Malik; Nithin C. Babu; Rajiv Soundararajan (IEEE Access, 2023)

Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI. - Arda Pekis; Vignesh Kannan; Evandros Kaklamanos; Anu Antony; Snehal Patel; Tyler Earnest (CoRR, 2023)