Nick Johnston

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 32

Top Topics

Image Compression

Top Venues

Publications

David Minnen, Nick Johnston
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression. CoRR (2023)
David Minnen, Nick Johnston
Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. ICIP (2023)
Joel Shor, Nick Johnston
The Need for Medically Aware Video Compression in Gastroenterology. CoRR (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Towards Generative Video Compression. CoRR (2021)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks. CoRR (2021)
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici
Scale-Space Flow for End-to-End Optimized Video Compression. CVPR (2020)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. CoRR (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-end Learning of Compressible Features. CoRR (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-End Learning of Compressible Features. ICIP (2020)
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
A $192\times128$ Time Correlated SPAD Image Sensor in 40-nm CMOS Technology. IEEE J. Solid State Circuits 54 (7) (2019)
Johannes Ballé, Nick Johnston, David Minnen
Integer Networks for Data Compression with Latent-Variable Models. ICLR (Poster) (2019)
Sam W. Hutchings, Nick Johnston, István Gyöngy, Tarek Al Abbas, Neale A. W. Dutton, Max Tyler, Susan Chan, Jonathan Leach, Robert K. Henderson
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 54 (11) (2019)
Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell
Learning to Render Better Image Previews. ICIP (2019)
Robert K. Henderson, Nick Johnston, Sam W. Hutchings, István Gyöngy, Tarek Al Abbas, Neale A. W. Dutton, Max Tyler, Susan Chan, Jonathan Leach
A 256×256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager. ISSCC (2019)
Michele Covell, David Marwood, Shumeet Baluja, Nick Johnston
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference. CoRR (2019)
Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
Computationally Efficient Neural Image Compression. CoRR (2019)
Robert K. Henderson, Nick Johnston, Haochang Chen, David Day-Uei Li, Graham Hungerford, Richard Hirsch, David McLoskey, Philip Yip, David J. S. Birch
A 192×128 Time Correlated Single Photon Counting Imager in 40nm CMOS Technology. ESSCIRC (2018)
Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell
Neural Image Decompression: Learning to Render Better Image Previews. CoRR (2018)
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
Towards A Semantic Perceptual Image Metric. ICIP (2018)
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CVPR (2018)
Shumeet Baluja, David Marwood, Michele Covell, Nick Johnston
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference. CoRR (2018)
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network. CoRR (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. CoRR (2018)
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
Towards a Semantic Perceptual Image Metric. CoRR (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. ICLR (Poster) (2018)
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CoRR (2017)
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. CoRR (2017)
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network. ICIP (2017)
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
Full Resolution Image Compression with Recurrent Neural Networks. CVPR (2017)
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell
Full Resolution Image Compression with Recurrent Neural Networks. CoRR (2016)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR (2015)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)