I have just finished my PhD from the Computer Science department at New York University. My research interests are in Computer Vision, Machine Learning, Optimization and Numerical Linear Algebra. My advisor was Rob Fergus. I was awarded a Microsoft Research PhD Fellowship for 2010-2011 and a Dean’s Dissertation Fellowship for 2012-2013 from the Graduate School of Arts and Sciences.
In Fall 2013, I will start Postdoctoral work at MIT’s CSAIL Lab with Bill Freeman.
with R. Fattal and R. Szeliski. Efficient Preconditioners for Laplacians Arising in Computer Graphics and Computational Photography. To appear in SIGGRAPH 2013.
D. Krishnan, R. Szeliski. Multigrid and Multilevel Preconditioners for Computational Photography. SIGGRAPH Asia 2011.
D. Krishnan, T. Tay, R. Fergus. Blind Deconvolution using a Normalized Sparsity Measure. CVPR 2011.
M. Zeiler, D. Krishnan, G. Taylor, R. Fergus. Deconvolutional Networks. CVPR 2010.
D. Krishnan, R. Fergus. Fast Image Deconvolution using Hyper-Laplacian Priors . Neural Information Processing Systems 2009.
D. Krishnan, R. Fergus. Dark Flash Photography. To appear in Proceedings of SIGGRAPH, August 2009.
D. Krishnan, Q. V. Pham, A. Y. Yip. A primal-dual active-set algorithm for bilaterally constrained total variation deblurring and piecewise constant Mumford-Shah segmentation problems. Advances in Computational Mathematics. Published Online, September 2008.
D. Krishnan, P. Lin, A. Y. Yip. A primal-dual active-set method for non-negativity constrained total variation deblurring problems. IEEE Transactions on Image Processing, 16(11), pp. 2766-2777, November 2007.
D. Krishnan, P. Lin, X. C. Tai. An efficient operator-splitting method for noise removal in images. Communications in Computational Physics, 1(5), pp. 847-858, October 2006.
D. Krishnan, M. N. Chong, S. Kalra. On the computational aspects of Gibbs-Markov random field modelling of missing data in image sequences. IEEE Transactions on Image Processing, 8(8), pp. pp. 1139-1142, August 1999.
S. Kalra, D. Krishnan, M. N. Chong. A MRF based model based scheme for accurate detection and adaptive interpolation of missing data in highly corrupted image sequences. IEEE Conference on Image Processing, 1999.
M. N. Chong, D. Krishnan. An edge-preserving MRF model for the detection of missing data in image sequences. IEEE Transactions on Signal Processing, 5(4), pp. 81-83, April 1998.
Invited Talk - Fast Image Deconvolution Using Hyper Laplacian Priors. Group Meeting of Fredo Durand’s graphics group, MIT (CSAIL), October 22, 2010.
Invited Talk - Dark Flash Photography and Fast Image Deconvolution Using Hyper Laplacian Priors. Rick Szeliski’s Interactive Visual Media Group, Microsoft Research, Seattle, December 3, 2009.
Dark Flash Photography. SIGGRAPH 2009, New Orleans, August 7, 2009.
Dark Flash Photography. Group meeting of Laboratory for Computational Vision, NYU, May 28, 2009.
Dark Flash Photography. Group meeting of Bill Freeman’s Vision Group, MIT (CSAIL), May 19, 2009.
Dark Flash Photography. Graphics Seminar, NYU, May 8, 2009.
Co-founder and CTO of Nirvana Digital, later acquired by Black Magic Designs. Nirvana Digital developed Revival, a film and video restoration system, now used in post-production companies worldwide.
Angel Investor/Technical Advisor to Aniika.
Professional Activities: Reviewer for the following conferences and journals
IEEE Transactions on Image Processing.
IEEE Computer Vision and Pattern Recognition (CVPR).
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI).
ACM Transactions on Graphics (SIGGRAPH) and SIGGRAPH Asia.
Journal for Visual Comm. and Image Representation (JVCI).
Neural Information Processing Systems (NIPS).
European Conference on Computer Vision (ECCV).
Office 12th Floor, 715 Broadway, New York, NY 10003, USA.