Aupendu Kar

Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging

Jul 26, 2022
Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas

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* \c{opyright} 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

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Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing

Aug 04, 2020
Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas

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* First two authors contributed equally. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Project Website: https://aupendu.github.io/iterative-dehaze

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Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network

Mar 22, 2019
Aupendu Kar, Prabir Kumar Biswas

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UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks

Jan 17, 2019
Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet

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* To appear in the Proceedings of the 2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019); First three authors contributed equally

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Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms

May 17, 2018
Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet

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* 4 pages, 3 figures, To appear in Workshop on Learned Image Compression, CVPR 2018

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