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ORCIDVignesh Kannan
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2020 – today
- 2023
[j2]Vignesh Kannan
, Sameer Malik, Nithin C. Babu, Rajiv Soundararajan:
Quality Assessment of Low-Light Restored Images: A Subjective Study and an Unsupervised Model. IEEE Access 11: 68216-68230 (2023)- [c3]Vasudev Singh, Chaitanya Langde, Sourav Lakotia, Vignesh Kannan, Shuaib Ahmed:
EG-SIF: Improving Appearance Based Gaze Estimation using Self Improving Features. Gaze Meets ML 2023: 219-235 - [c2]Nithin C. Babu, Vignesh Kannan, Rajiv Soundararajan:
No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images. WACV 2023: 2458-2467 - [i2]Arda Pekis, Vignesh Kannan, Evandros Kaklamanos, Anu Antony, Snehal Patel, Tyler Earnest:
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI. CoRR abs/2311.16213 (2023) - 2022
- [i1]Vignesh Kannan, Sameer Malik, Rajiv Soundararajan:
Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model. CoRR abs/2202.02277 (2022)
2010 – 2019
- 2018
- [j1]Joshua Holloway, Vignesh Kannan, Yi Zhang, Damon M. Chandler, Sohum Sohoni:
GPU Acceleration of the Most Apparent Distortion Image Quality Assessment Algorithm. J. Imaging 4(10): 111 (2018) - 2017
- [c1]Vignesh Kannan, Joshua Holloway, Sohum Sohoni, Damon M. Chandler:
Microarchitectural analysis of a GPU implementation of the Most Apparent Distortion image quality assessment algorithm. IQSP 2017: 36-41
Coauthor Index
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