Search Results for author: Ronnachai Jaroensri

Found 4 papers, 2 papers with code

Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation

1 code implementation18 Apr 2019 Ronnachai Jaroensri, Camille Biscarrat, Miika Aittala, Frédo Durand

Unfortunately, the commonly used additive white noise (AWGN) models do not accurately reproduce the noise and the degradation encountered on these inputs.

Demosaicking Denoising +1

On the Importance of Label Quality for Semantic Segmentation

no code implementations CVPR 2018 Aleksandar Zlateski, Ronnachai Jaroensri, Prafull Sharma, Frédo Durand

We investigate the relationship between the quality of labels and the performance of ConvNets for semantic segmentation.

Semantic Segmentation

Learning-based Video Motion Magnification

2 code implementations ECCV 2018 Tae-Hyun Oh, Ronnachai Jaroensri, Changil Kim, Mohamed Elgharib, Frédo Durand, William T. Freeman, Wojciech Matusik

We show that the learned filters achieve high-quality results on real videos, with less ringing artifacts and better noise characteristics than previous methods.

A Video-Based Method for Objectively Rating Ataxia

no code implementations13 Dec 2016 Ronnachai Jaroensri, Amy Zhao, Guha Balakrishnan, Derek Lo, Jeremy Schmahmann, John Guttag, Fredo Durand

The performance of our system is comparable to that of a group of ataxia specialists in terms of mean error and correlation, and our system's predictions were consistently within the range of inter-rater variability.

Optical Flow Estimation Pose Estimation

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