Extensions to Orthogonal Matching Pursuit for Compressed Sensing SRBPRV A. Majumdar, N. Krishnan 2011 National Conference on Communications (NCC), pp. 1-5, doi: 10.1109/NCC …, 2011 | 15 | 2011 |
A universal parallel two-pass MDL context tree compression algorithm DB Nikhil Krishnan IEEE Journal of Selected Topics in Signal Processing 9 (4), 741-748, 2015 | 12 | 2015 |
Empirical Bayes and full Bayes for signal estimation Y Ma, J Tan, N Krishnan, D Baron arXiv preprint arXiv:1405.2113, 2014 | 9 | 2014 |
A parallel two-pass MDL context tree algorithm for universal source coding MKM Nikhil Krishnan, Dror Baron 2014 IEEE International Symposium on Information Theory, 1862-1866, 2014 | 7 | 2014 |
Performance of parallel two-pass MDL context tree algorithm DB Nikhil Krishnan 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 3 | 2014 |
Content Preserving Scale Space Network for Fast Image Restoration from Noisy-Blurry Pairs SL Green Rosh KS, Nikhil Krishnan, BH Pawan Prasad ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
Attention guided complementary feature integration for latent image recovery from noisy/blurry pairs BHPP Green Rosh K S, Sachin Lomte, Nikhil Krishnan Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics …, 2021 | | 2021 |
NTIRE 2021 challenge on high dynamic range imaging: Dataset, methods and results NK Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | | 2021 |
Empirical Bayes and full Bayes for signal estimation DB Yanting Ma, Jin Tan, Nikhil Krishnan arXiv preprint arXiv:1405.2113, 2014 | | 2014 |