Nick Johnston

Nick Johnston

Research Areas

Authored Publications
0 results

Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    Google
ADVANCING THE RATE-DISTORTION-COMPUTATION FRONTIER FOR NEURAL IMAGE COMPRESSION
David Minnen
Nick Johnston
2023 IEEE International Conference on Image Processing (ICIP) (2023)
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
Berivan Isik
Phil Chou
Sung Jin Hwang
Nick Johnston
George Toderici
Journal of Frontiers in Signal Processing (2022)
Neural Video Compression using GANs for Detail Synthesis and Propagation
Fabian Mentzer
Eirikur Agustsson
Johannes Ballé
David Minnen
Nick Johnston
George Toderici
European Conference on Computer Vision (2022)
The Need for Medically Aware Video Compression in Gastroenterology
Joel Shor
Nick Johnston
Medical Imaging Meets Neurips (2022) (to appear)
Nonlinear Transform Coding
Johannes Ballé
Philip A. Chou
David Minnen
Saurabh Singh
Nick Johnston
Eirikur Agustsson
Sung Jin Hwang
George Toderici
IEEE Trans. on Special Topics in Signal Processing, 15 (2021) (to appear)
Scale-Space Flow for End-to-End Optimized Video Compression
Eirikur Agustsson
David Minnen
Nick Johnston
Johannes Ballé
Sung Jin Hwang
George Toderici
2020 IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)
End-to-end Learning of Compressible Features
Saurabh Singh
Sami Abu-El-Haija
Nick Johnston
Johannes Ballé
Abhinav Shrivastava
George Dan Toderici
2020 IEEE Int. Conf. on Image Processing (ICIP)
Neural Image Decompression: Learning to Render Better Image Previews
Shumeet Baluja
Dave Marwood
Nick Johnston
Michele Covell
2019 IEEE International Conference on Image Processing, IEEE
Integer Networks for Data Compression with Latent-Variable Models
Johannes Ballé
Nick Johnston
David Minnen
7th Int. Conf. on Learning Representations (ICLR) (2019)
Computationally Efficient Neural Image Compression
Nick Johnston
Elad Eban
Ariel Gordon
Johannes Ballé
Google Research (2019)
Search on Google Scholar