| Convolutional neural network for earthquake detection and location T Perol, M Gharbi, M Denolle Science Advances 4 (2), e1700578, 2018 | 891 | 2018 |
| Deep bilateral learning for real-time image enhancement M Gharbi, J Chen, JT Barron, SW Hasinoff, F Durand ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017 | 759 | 2017 |
| Deep joint demosaicking and denoising M Gharbi, G Chaurasia, S Paris, F Durand ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016 | 508 | 2016 |
| Learning to optimize halide with tree search and random programs A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ... ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 251 | 2019 |
| Differentiable vector graphics rasterization for editing and learning TM Li, M Lukáč, M Gharbi, J Ragan-Kelley ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020 | 174 | 2020 |
| Differentiable programming for image processing and deep learning in Halide TM Li, M Gharbi, A Adams, F Durand, J Ragan-Kelley ACM Transactions on Graphics (ToG) 37 (4), 1-13, 2018 | 145 | 2018 |
| Modulated periodic activations for generalizable local functional representations I Mehta, M Gharbi, C Barnes, E Shechtman, R Ramamoorthi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 125 | 2021 |
| Im2vec: Synthesizing vector graphics without vector supervision P Reddy, M Gharbi, M Lukac, NJ Mitra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 113 | 2021 |
| Sample-based Monte Carlo denoising using a kernel-splatting network M Gharbi, TM Li, M Aittala, J Lehtinen, F Durand ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 92 | 2019 |
| Multi-view relighting using a geometry-aware network. J Philip, M Gharbi, T Zhou, AA Efros, G Drettakis ACM Trans. Graph. 38 (4), 78:1-78:14, 2019 | 92 | 2019 |
| Spatially-Adaptive Pixelwise Networks for Fast Image Translation T Rott Shaham, M Gharbi, R Zhang, E Shechtman, T Michaeli arXiv e-prints, arXiv: 2012.02992, 2020 | 85* | 2020 |
| Basis prediction networks for effective burst denoising with large kernels Z Xia, F Perazzi, M Gharbi, K Sunkavalli, A Chakrabarti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 73 | 2020 |
| A dataset of multi-illumination images in the wild L Murmann, M Gharbi, M Aittala, F Durand Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 70 | 2019 |
| Any-resolution training for high-resolution image synthesis L Chai, M Gharbi, E Shechtman, P Isola, R Zhang European Conference on Computer Vision, 170-188, 2022 | 47 | 2022 |
| Free-viewpoint indoor neural relighting from multi-view stereo J Philip, S Morgenthaler, M Gharbi, G Drettakis ACM Transactions on Graphics (TOG) 40 (5), 1-18, 2021 | 42 | 2021 |
| Marionette: Self-supervised sprite learning D Smirnov, M Gharbi, M Fisher, V Guizilini, A Efros, JM Solomon Advances in Neural Information Processing Systems 34, 5494-5505, 2021 | 39 | 2021 |
| Interactive Monte Carlo denoising using affinity of neural features M Işık, K Mullia, M Fisher, J Eisenmann, M Gharbi ACM Transactions on Graphics (TOG) 40 (4), 1-13, 2021 | 39 | 2021 |
| Convolutional neural network for earthquake detection and location, Sci. Adv., 4, e1700578 T Perol, M Gharbi, M Denolle DOI 17005, 78, 2018 | 37 | 2018 |
| Video pose distillation for few-shot, fine-grained sports action recognition J Hong, M Fisher, M Gharbi, K Fatahalian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
| A Gaussian approximation of feature space for fast image similarity M Gharbi, T Malisiewicz, S Paris, F Durand | 35 | 2012 |
Fredo DurandProfessor of Computer Science, MIT在 mit.edu 的电子邮件经过验证
