Michaël Gharbi

Transform recipes for efficient cloud photo enhancement

Frédo Durand, Sylvain Paris, Gaurav Chaurasia, 2015, ACM Trans. Graph..

Deep bilateral learning for real-time image enhancement

Jonathan T. Barron, Jiawen Chen, Frédo Durand, 2017, ACM Trans. Graph..

Convolutional neural network for earthquake detection and location

Michaël Gharbi, Marine Denolle, Thibaut Perol, 2017, Science Advances.

Learning to optimize halide with tree search and random programs

Frédo Durand, Andrew Adams, Tzu-Mao Li, 2019, ACM Trans. Graph..

Multi-view relighting using a geometry-aware network

George Drettakis, Alexei A. Efros, Tinghui Zhou, 2019, ACM Trans. Graph..

Deep joint demosaicking and denoising

Frédo Durand, Sylvain Paris, Gaurav Chaurasia, 2016, ACM Trans. Graph..

Sample-based Monte Carlo denoising using a kernel-splatting network

Jaakko Lehtinen, Frédo Durand, Miika Aittala, 2019, ACM Trans. Graph..

Differentiable programming for image processing and deep learning in halide

Frédo Durand, Tzu-Mao Li, Jonathan Ragan-Kelley, 2018, ACM Trans. Graph..

Interactive Monte Carlo denoising using affinity of neural features

Matthew Fisher, Jonathan Eisenmann, Michaël Gharbi, 2021, ACM Trans. Graph..

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition pdf

Matthew Fisher, Kayvon Fatahalian, Michaël Gharbi, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).