| Kernel-predicting convolutional networks for denoising Monte Carlo renderings. S Bako, T Vogels, B McWilliams, M Meyer, J Novák, A Harvill, P Sen, ... ACM Trans. Graph. 36 (4), 97:1-97:14, 2017 | 225 | 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 | 145 | 2015 |
| Using machine learning to filter monte carlo noise from images P Sen, NK Kalantari, S Bako US Patent App. 15/144,613, 2016 | 53 | 2016 |
| Machine learning to process Monte Carlo rendered images P Sen, S Bako, NK Kalantari US Patent 10,192,146, 2019 | 35 | 2019 |
| Removing shadows from images of documents S Bako, S Darabi, E Shechtman, J Wang, K Sunkavalli, P Sen Asian Conference on Computer Vision, 173-183, 2016 | 28 | 2016 |
| De-noising images using machine learning M Meyer, A DeRose, S Bako US Patent 10,311,552, 2019 | 18 | 2019 |
| Offline deep importance sampling for Monte Carlo path tracing S Bako, M Meyer, T DeRose, P Sen Computer Graphics Forum 38 (7), 527-542, 2019 | 17 | 2019 |
| Neural complex luminaires: representation and rendering J Zhu, Y Bai, Z Xu, S Bako, E Velázquez-Armendáriz, L Wang, P Sen, ... ACM Transactions on Graphics (TOG) 40 (4), 1-12, 2021 | 7 | 2021 |
| Removing artifacts from document images SC Bako, A Darabi, J Wang, E Shechtman, KK Sunkavalli US Patent 9,852,498, 2017 | 4 | 2017 |
| De-noising images using machine learning M Meyer, A DeRose, S Bako US Patent 10,846,828, 2020 | 2 | 2020 |
| Deep Learning for Variance Reduction in Monte Carlo Rendering S Bako UC Santa Barbara, 2021 | | 2021 |
| Machine learning to process Monte Carlo rendered images P Sen, S Bako, NK Kalantari US Patent 10,832,091, 2020 | | 2020 |
Pradeep SenAssociate Professor, University of California, Santa BarbaraVerified email at ece.ucsb.edu
