Nick Johnston

34 papers A* 4B 5Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression.
CoRR
David Minnen, Nick Johnston
2023 B conf
Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression.
ICIP
David Minnen, Nick Johnston
2022 — conf
Neural Video Compression Using GANs for Detail Synthesis and Propagation.
ECCV (26)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2022 J jnl
The Need for Medically Aware Video Compression in Gastroenterology.
CoRR
Joel Shor, Nick Johnston
2021 J jnl
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks.
CoRR
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici
2021 J jnl
Nonlinear Transform Coding.
IEEE J. Sel. Top. Signal Process.
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2021 J jnl
Towards Generative Video Compression.
CoRR
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2020 B conf
End-to-End Learning of Compressible Features.
ICIP
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020 J jnl
End-to-end Learning of Compressible Features.
CoRR
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020 J jnl
Nonlinear Transform Coding.
CoRR
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2020 A* conf
Scale-Space Flow for End-to-End Optimized Video Compression.
CVPR
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
2019 J jnl
A $192\times128$ Time Correlated SPAD Image Sensor in 40-nm CMOS Technology.
IEEE J. Solid State Circuits
Robert K. Henderson, Nick Johnston, Francescopaolo Mattioli Della Rocca, Haochang Chen, David Day-Uei Li, Graham Hungerford, Richard Hirsch, David McLoskey, Philip Yip, David J. S. Birch
2019 — conf
A 256×256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager.
ISSCC
Robert K. Henderson, Nick Johnston, Sam W. Hutchings, István Gyöngy, Tarek Al Abbas, Neale A. W. Dutton, Max Tyler, Susan Chan, Jonathan Leach
2019 J jnl
A Reconfigurable 3-D-Stacked SPAD Imager With In-Pixel Histogramming for Flash LIDAR or High-Speed Time-of-Flight Imaging.
IEEE J. Solid State Circuits
Sam W. Hutchings, Nick Johnston, István Gyöngy, Tarek Al Abbas, Neale A. W. Dutton, Max Tyler, Susan Chan, Jonathan Leach, Robert K. Henderson
2019 J jnl
Computationally Efficient Neural Image Compression.
CoRR
Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
2019 — conf
Integer Networks for Data Compression with Latent-Variable Models.
ICLR (Poster)
Johannes Ballé, Nick Johnston, David Minnen
2019 B conf
Learning to Render Better Image Previews.
ICIP
Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell
2019 J jnl
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference.
CoRR
Michele Covell, David Marwood, Shumeet Baluja, Nick Johnston
2018 — conf
A 192×128 Time Correlated Single Photon Counting Imager in 40nm CMOS Technology.
ESSCIRC
Robert K. Henderson, Nick Johnston, Haochang Chen, David Day-Uei Li, Graham Hungerford, Richard Hirsch, David McLoskey, Philip Yip, David J. S. Birch
2018 A* conf
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks.
CVPR
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
2018 J jnl
Neural Image Decompression: Learning to Render Better Image Previews.
CoRR
Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell
2018 J jnl
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference.
CoRR
Shumeet Baluja, David Marwood, Michele Covell, Nick Johnston
2018 J jnl
Spatially adaptive image compression using a tiled deep network.
CoRR
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
2018 B conf
Towards A Semantic Perceptual Image Metric.
ICIP
Troy T. Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici
2018 J jnl
Towards a Semantic Perceptual Image Metric.
CoRR
Troy T. Chinen, Johannes Ballé, Chunhui Gu, Sung Jin Hwang, Sergey Ioffe, Nick Johnston, Thomas Leung, David Minnen, Sean M. O'Malley, Charles Rosenberg, George Toderici
2018 — conf
Variational image compression with a scale hyperprior.
ICLR (Poster)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
2018 J jnl
Variational image compression with a scale hyperprior.
CoRR
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
2017 A* conf
Full Resolution Image Compression with Recurrent Neural Networks.
CVPR
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
2017 J jnl
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks.
CoRR
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
2017 B conf
Spatially adaptive image compression using a tiled deep network.
ICIP
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
2017 J jnl
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks.
CoRR
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici
2016 J jnl
Full Resolution Image Compression with Recurrent Neural Networks.
CoRR
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
2015 A* conf
Im2Calories: Towards an Automated Mobile Vision Food Diary.
ICCV
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
2015 J jnl
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
CoRR
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy