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Troy Chinen

2 accepted papers

2020

An Unsupervised Information-Theoretic Perceptual Quality Metric

NeurIPS 2020poster

Tractable models of human perception have proved to be challenging to build. Hand-designed models such as MS-SSIM remain popular predictors of human image quality judgements due to their simplicity and speed. Recent modern deep learning approaches can perform better, but they rely on supervised data…

2018

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks

CVPR 2018poster

We propose a method for lossy image compression based on recurrent, convolutional neural networks that outper- forms BPG (4:2:0), WebP, JPEG2000, and JPEG as mea- sured by MS-SSIM. We introduce three improvements over previous research that lead to this state-of-the-art result us- ing a single model…

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