| Learning-based view synthesis for light field cameras NK Kalantari, TC Wang, R Ramamoorthi ACM Transactions on Graphics (TOG) 35 (6), 1-10, 2016 | 603 | 2016 |
| Local light field fusion: Practical view synthesis with prescriptive sampling guidelines B Mildenhall, PP Srinivasan, R Ortiz-Cayon, NK Kalantari, ... ACM Transactions on Graphics (TOG) 38 (4), 1-14, 2019 | 509 | 2019 |
| Robust Patch-Based HDR Reconstruction of Dynamic Scenes P Sen, NK Kalantari, M Yaesoubi, S Darabi, DB Goldman, E Shechtman ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia 2012) 31 (6), 2012 | 379 | 2012 |
| Deep high dynamic range imaging of dynamic scenes. NK Kalantari, R Ramamoorthi ACM Trans. Graph. 36 (4), 144:1-144:12, 2017 | 348 | 2017 |
| A machine learning approach for filtering Monte Carlo noise. NK Kalantari, S Bako, P Sen ACM Trans. Graph. 34 (4), 122:1-122:12, 2015 | 158 | 2015 |
| Patch-Based High Dynamic Range Video NK Kalantari, E Shechtman, C Barnes, S Darabi, DB Goldman, P Sen ACM Transactions on Graphics (TOG) 32 (6), 202, 2013 | 112 | 2013 |
| Robust multiplicative patchwork method for audio watermarking NK Kalantari, MA Akhaee, SM Ahadi, H Amindavar IEEE Transactions on Audio, speech, and language processing 17 (6), 1133-1141, 2009 | 104 | 2009 |
| Light field video capture using a learning-based hybrid imaging system TC Wang, JY Zhu, NK Kalantari, AA Efros, R Ramamoorthi ACM Transactions on Graphics (TOG) 36 (4), 1-13, 2017 | 103 | 2017 |
| A logarithmic quantization index modulation for perceptually better data hiding NK Kalantari, SM Ahadi IEEE Transactions on Image Processing 19 (6), 1504-1517, 2010 | 99 | 2010 |
| A robust image watermarking in the ridgelet domain using universally optimum decoder NK Kalantari, SM Ahadi, M Vafadust IEEE Transactions on circuits and systems for video technology 20 (3), 396-406, 2009 | 99 | 2009 |
| Patch-based optimization for image-based texture mapping. S Bi, NK Kalantari, R Ramamoorthi ACM Trans. Graph. 36 (4), 106:1-106:11, 2017 | 83 | 2017 |
| Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss MS Santos, TI Ren, NK Kalantari arXiv preprint arXiv:2005.07335, 2020 | 73 | 2020 |
| Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms NK Kalantari, P Sen Computer Graphics Forum 32 (2pt1), 93-102, 2013 | 73 | 2013 |
| Using machine learning to filter monte carlo noise from images P Sen, NK Kalantari, S Bako US Patent App. 15/144,613, 2016 | 63 | 2016 |
| Robust audio and speech watermarking using Gaussian and Laplacian modeling MA Akhaee, N Khademi Kalantari, F Marvasti Signal Processing 90 (8), 2487-2497, 2010 | 46 | 2010 |
| Deep HDR Video from Sequences with Alternating Exposures NK Kalantari, R Ramamoorthi Computer Graphics Forum 38 (2), 193-205, 2019 | 42 | 2019 |
| Machine learning to process Monte Carlo rendered images P Sen, S Bako, NK Kalantari US Patent 10,192,146, 2019 | 39 | 2019 |
| A new approach for robust realtime voice activity detection using spectral pattern MH Moattar, MM Homayounpour, NK Kalantari 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 31 | 2010 |
| Audio watermarking based on quantization index modulation in the frequency domain N Khademi, MA Akhaee, SM Ahadi, M Moradi, A Kashi 2007 IEEE International Conference on Signal Processing and Communications …, 2007 | 31 | 2007 |
| Learning generative models for rendering specular microgeometry A Kuznetsov, M Hašan, Z Xu, LQ Yan, B Walter, NK Kalantari, ... ACM Trans. Graph 10, 3355089.3356525, 2019 | 27 | 2019 |
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoVerified email at cs.ucsd.edu
