Parikshit Vishwas Sakurikar

Parikshit Vishwas Sakurikar

Areas of Interest: Computer Vision, Graphics.

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Address: CVIT, IIIT-H

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Personal Home Page: http://researchweb.iiit.ac.in/~parikshit.sakurikar/

Publications

Parikshit Sakurikar, Ishit Mehta, Vineeth N Balasubramanian and P.J. Narayanan - RefocusGAN: Scene Refocusing using a Single Image European Conference on Computer Vision (ECCV), 2018, Munich, Germany [PDF]
Ishit Mehta, Parikshit Sakurikar and P.J. Narayanan - Structured Adversarial Training for Unsupervised Monocular Depth Estimation International Conference on 3D Vision (3DV), 2018, Verona, Italy [PDF]
Parikshit Sakurikar and P.J. Narayanan - Focal Stack Representation and Focus Manipulation 4th Asian Conference on Pattern Recognition (ACPR), 2017, Nanjing, China. [PDF]
Saurabh Saini, Parikshit Sakurikar and P. J. Narayanan - Intrinsic image decomposition using focal stacks Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. ACM, 2016. [PDF]
Parikshit Sakurikar and P. J. Narayanan - Dense view interpolation on mobile devices using focal stacks Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2014. [PDF]
Pawan Harish, Parikshit Sakurikar, P J Narayanan - Increasing Instensity Resolution on a Single Display using Spatio-Temporal Mixing Proceedings of the 8th Indian Conference on Vision, Graphics and Image Processing, 16-19 Dec. 2012, Bombay, India. [PDF]
Parikshit Sakurikar and P J Narayanan - Fast Graph Cuts using Shrink-Expand Reparameterization Proceedings of IEEE Workshop on Applications of Computer Vision 9-11 Jan. 2012, ISSN 1550-5790 E-ISBN 978-1-4673-0232-6, Print ISBN 978-1-4673-0233-3, pp. 65-71, Breckenridge, CO, USA. [PDF]

Projects

Computational Displays

People Involved :Parikshit Sakurikar, Revanth N R, Pawan Harish, Nirnimesh and P J Narayanan

Displays have seen many improvements over the years but have many shortcomings still. These include rectangular shape, low color gamut, low dynamic range, lack of focus and context in a scene, lack of 3D viewing, etc. We propose Computational Displays, which employ computation to economically alleviate some of the shortcomings of today's displays.

Parallel Computing using CPU and GPU

People Involved : Aditya Deshpande, Parikshit Sakurikar, Harshit Sureka, K. Wasif, Ishan Misra, Pawan Harish, Vibhav Vineet and P J Narayanan

Commodity graphics hardware has become a cost-effective parallel platform for solving many general problems. New Graphics hardware by Nvidia offers an alternate programming model called CUDA which can be used in more flexible ways than GPGPU.