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Nicholas Johnston

Affiliations:

Google, Mountain View, CA, USA

According to our database¹, Nicholas Johnston authored at least 26 papers between 2015 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2023

Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression.

[BibT_eX]

[DOI]

,

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

The Need for Medically Aware Video Compression in Gastroenterology.

[BibT_eX]

[DOI]

,

CoRR, 2022

Neural Video Compression Using GANs for Detail Synthesis and Propagation.

[BibT_eX]

[DOI]

,

Eirikur Agustsson

,

Johannes Ballé

,

,

,

George Toderici

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Nonlinear Transform Coding.

[BibT_eX]

[DOI]

Johannes Ballé

,

,

,

,

,

Eirikur Agustsson

,

,

George Toderici

IEEE J. Sel. Top. Signal Process., 2021

LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks.

[BibT_eX]

[DOI]

,

,

,

,

George Toderici

CoRR, 2021

Towards Generative Video Compression.

[BibT_eX]

[DOI]

,

Eirikur Agustsson

,

Johannes Ballé

,

,

,

George Toderici

CoRR, 2021

2020

End-to-End Learning of Compressible Features.

[BibT_eX]

[DOI]

,

Sami Abu-El-Haija

,

,

Johannes Ballé

,

Abhinav Shrivastava

,

George Toderici

Proceedings of the IEEE International Conference on Image Processing, 2020

Scale-Space Flow for End-to-End Optimized Video Compression.

[BibT_eX]

[DOI]

Eirikur Agustsson

,

,

,

Johannes Ballé

,

,

George Toderici

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Reconfigurable 3-D-Stacked SPAD Imager With In-Pixel Histogramming for Flash LIDAR or High-Speed Time-of-Flight Imaging.

[BibT_eX]

[DOI]

Sam W. Hutchings

,

,

István Gyöngy

,

,

Neale A. W. Dutton

,

,

,

,

Robert K. Henderson

IEEE J. Solid State Circuits, 2019

A $192\times128$ Time Correlated SPAD Image Sensor in 40-nm CMOS Technology.

[BibT_eX]

[DOI]

Robert K. Henderson

,

,

Francescopaolo Mattioli Della Rocca

,

,

David Day-Uei Li

,

Graham Hungerford

,

,

,

,

David J. S. Birch

IEEE J. Solid State Circuits, 2019

Computationally Efficient Neural Image Compression.

[BibT_eX]

[DOI]

,

,

,

Johannes Ballé

CoRR, 2019

Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2019

A 256×256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager.

[BibT_eX]

[DOI]

Robert K. Henderson

,

,

Sam W. Hutchings

,

István Gyöngy

,

,

Neale A. W. Dutton

,

,

,

Proceedings of the IEEE International Solid- State Circuits Conference, 2019

Integer Networks for Data Compression with Latent-Variable Models.

[BibT_eX]

[DOI]

Johannes Ballé

,

,

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Render Better Image Previews.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Neural Image Decompression: Learning to Render Better Image Previews.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2018

No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2018

Variational image compression with a scale hyperprior.

[BibT_eX]

[DOI]

Johannes Ballé

,

,

,

,

Proceedings of the 6th International Conference on Learning Representations, 2018

Towards A Semantic Perceptual Image Metric.

[BibT_eX]

[DOI]

,

Johannes Ballé

,

,

,

,

,

,

,

Sean M. O'Malley

,

Charles Rosenberg

,

George Toderici

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A 192×128 Time Correlated Single Photon Counting Imager in 40nm CMOS Technology.

[BibT_eX]

[DOI]

Robert K. Henderson

,

,

,

David Day-Uei Li

,

Graham Hungerford

,

,

,

,

David J. S. Birch

Proceedings of the 44th IEEE European Solid State Circuits Conference, 2018

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

[BibT_eX]

[DOI]

,

,

,

,

,

,

,

,

George Toderici

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks.

[BibT_eX]

[DOI]

,

,

,

,

,

,

,

George Toderici

CoRR, 2017

Spatially adaptive image compression using a tiled deep network.

[BibT_eX]

[DOI]

,

George Toderici

,

,

,

,

,

,

,

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Full Resolution Image Compression with Recurrent Neural Networks.

[BibT_eX]

[DOI]

George Toderici

,

,

,

,

,

,

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.

[BibT_eX]

[DOI]

Jonathan Malmaud

,

,

,

Nicholas Johnston

,

Andrew Rabinovich

,

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Im2Calories: Towards an Automated Mobile Vision Food Diary.

[BibT_eX]

[DOI]

,

,

,

Anoop Korattikara

,

Alexander N. Gorban

,

Nathan Silberman

,

Sergio Guadarrama

,

George Papandreou

,

,

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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