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ORCIDNicholas Johnston
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- affiliation: Google, Mountain View, CA, USA
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Journal Articles
- 2021
[j3]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): 339-353 (2021)- 2019
- [j2]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): 1907-1916 (2019) - [j1]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): 2947-2956 (2019)
Conference and Workshop Papers
- 2023
- [c15]David Minnen, Nick Johnston:
Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. ICIP 2023: 2940-2944 - 2022
- [c14]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: 562-578 - 2020
- [c13]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: 8500-8509 - [c12]Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-End Learning of Compressible Features. ICIP 2020: 3349-3353 - 2019
- [c11]Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell:
Learning to Render Better Image Previews. ICIP 2019: 1700-1704 - [c10]Johannes Ballé, Nick Johnston, David Minnen:
Integer Networks for Data Compression with Latent-Variable Models. ICLR (Poster) 2019 - [c9]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: 106-108 - 2018
- [c8]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: 4385-4393 - [c7]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: 54-57 - [c6]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: 624-628 - [c5]Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston:
Variational image compression with a scale hyperprior. ICLR (Poster) 2018 - 2017
- [c4]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: 5435-5443 - [c3]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: 2796-2800 - 2015
- [c2]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: 1233-1241 - [c1]Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy:
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL 2015: 143-152
Informal and Other Publications
- 2023
- [i17]David Minnen, Nick Johnston:
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression. CoRR abs/2311.12821 (2023) - 2022
- [i16]Joel Shor, Nick Johnston:
The Need for Medically Aware Video Compression in Gastroenterology. CoRR abs/2211.01472 (2022) - 2021
- [i15]Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici:
Towards Generative Video Compression. CoRR abs/2107.12038 (2021) - [i14]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 abs/2111.08988 (2021) - 2020
- [i13]Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici:
Nonlinear Transform Coding. CoRR abs/2007.03034 (2020) - [i12]Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici:
End-to-end Learning of Compressible Features. CoRR abs/2007.11797 (2020) - 2019
- [i11]Michele Covell, David Marwood, Shumeet Baluja, Nick Johnston:
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference. CoRR abs/1906.04798 (2019) - [i10]Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé:
Computationally Efficient Neural Image Compression. CoRR abs/1912.08771 (2019) - 2018
- [i9]Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston:
Variational image compression with a scale hyperprior. CoRR abs/1802.01436 (2018) - [i8]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 abs/1802.02629 (2018) - [i7]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 abs/1808.00447 (2018) - [i6]Shumeet Baluja, David Marwood, Michele Covell, Nick Johnston:
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference. CoRR abs/1809.09244 (2018) - [i5]Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell:
Neural Image Decompression: Learning to Render Better Image Previews. CoRR abs/1812.02831 (2018) - 2017
- [i4]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 abs/1703.10114 (2017) - [i3]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 abs/1705.06687 (2017) - 2016
- [i2]George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. CoRR abs/1608.05148 (2016) - 2015
- [i1]Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy:
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR abs/1503.01558 (2015)
Coauthor Index
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