Im2Calories: Towards an Automated Mobile Vision Food Diary. - Austin Myers; Nick Johnston; Vivek Rathod; Anoop Korattikara; Alexander N. Gorban; Nathan Silberman; Sergio Guadarrama; George Papandreou; Jonathan Huang; Kevin Murphy 002 (ICCV, 2015)

What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. - Jonathan Malmaud; Jonathan Huang; Vivek Rathod; Nicholas Johnston; Andrew Rabinovich; Kevin Murphy 002 (HLT-NAACL, 2015)

Full Resolution Image Compression with Recurrent Neural Networks. - George Toderici; Damien Vincent; Nick Johnston; Sung Jin Hwang; David Minnen; Joel Shor; Michele Covell (CVPR, 2017)

Spatially adaptive image compression using a tiled deep network. - David Minnen; George Toderici; Michele Covell; Troy T. Chinen; Nick Johnston; Joel Shor; Sung Jin Hwang; Damien Vincent; Saurabh Singh (ICIP, 2017)

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. - Michele Covell; Nick Johnston; David Minnen; Sung Jin Hwang; Joel Shor; Saurabh Singh; Damien Vincent; George Toderici (CoRR, 2017)

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. - Nick Johnston; Damien Vincent; David Minnen; Michele Covell; Saurabh Singh; Troy T. Chinen; Sung Jin Hwang; Joel Shor; George Toderici (CVPR, 2018)

A 192×128 Time Correlated Single Photon Counting Imager in 40nm CMOS Technology. - Robert K. Henderson; Nick Johnston; Haochang Chen; David Day-Uei Li; Graham Hungerford; Richard Hirsch; David McLoskey; Philip Yip; David J. S. Birch (ESSCIRC, 2018)

Towards A Semantic Perceptual Image Metric. - Troy T. Chinen; Johannes Ballé; Chunhui Gu; Sung Jin Hwang; Sergey Ioffe; Nick Johnston; Thomas Leung; David Minnen; Sean M. O'Malley; Charles Rosenberg 001; George Toderici (ICIP, 2018)

Variational image compression with a scale hyperprior. - Johannes Ballé; David Minnen; Saurabh Singh; Sung Jin Hwang; Nick Johnston (ICLR (Poster), 2018)

No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference. - Shumeet Baluja; David Marwood; Michele Covell; Nick Johnston (CoRR, 2018)

Neural Image Decompression: Learning to Render Better Image Previews. - Shumeet Baluja; David Marwood; Nick Johnston; Michele Covell (CoRR, 2018)

Learning to Render Better Image Previews. - Shumeet Baluja; David Marwood; Nick Johnston; Michele Covell (ICIP, 2019)

Integer Networks for Data Compression with Latent-Variable Models. - Johannes Ballé; Nick Johnston; David Minnen (ICLR (Poster), 2019)

A 256×256 40nm/90nm CMOS 3D-Stacked 120dB Dynamic-Range Reconfigurable Time-Resolved SPAD Imager. - Robert K. Henderson; Nick Johnston; Sam W. Hutchings; István Gyöngy; Tarek Al Abbas; Neale A. W. Dutton; Max Tyler; Susan Chan; Jonathan Leach (ISSCC, 2019)

Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference. - Michele Covell; David Marwood; Shumeet Baluja; Nick Johnston (CoRR, 2019)

Computationally Efficient Neural Image Compression. - Nick Johnston; Elad Eban; Ariel Gordon; Johannes Ballé (CoRR, 2019)

A $192 times128$ Time Correlated SPAD Image Sensor in 40-nm CMOS Technology. - 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 (IEEE J. Solid State Circuits, 2019)

A Reconfigurable 3-D-Stacked SPAD Imager With In-Pixel Histogramming for Flash LIDAR or High-Speed Time-of-Flight Imaging. - Sam W. Hutchings; Nick Johnston; István Gyöngy; Tarek Al Abbas; Neale A. W. Dutton; Max Tyler; Susan Chan; Jonathan Leach; Robert K. Henderson (IEEE J. Solid State Circuits, 2019)

Scale-Space Flow for End-to-End Optimized Video Compression. - Eirikur Agustsson; David Minnen; Nick Johnston; Johannes Ballé; Sung Jin Hwang; George Toderici (CVPR, 2020)

End-to-End Learning of Compressible Features. - Saurabh Singh; Sami Abu-El-Haija; Nick Johnston; Johannes Ballé; Abhinav Shrivastava; George Toderici (ICIP, 2020)

Towards Generative Video Compression. - Fabian Mentzer; Eirikur Agustsson; Johannes Ballé; David Minnen; Nick Johnston; George Toderici (CoRR, 2021)

LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks. - Berivan Isik; Philip A. Chou; Sung Jin Hwang; Nick Johnston; George Toderici (CoRR, 2021)

Nonlinear Transform Coding. - Johannes Ballé; Philip A. Chou; David Minnen; Saurabh Singh; Nick Johnston; Eirikur Agustsson; Sung Jin Hwang; George Toderici (IEEE J. Sel. Top. Signal Process., 2021)

Neural Video Compression Using GANs for Detail Synthesis and Propagation. - Fabian Mentzer; Eirikur Agustsson; Johannes Ballé; David Minnen; Nick Johnston; George Toderici (ECCV (26), 2022)

The Need for Medically Aware Video Compression in Gastroenterology. - Joel Shor; Nick Johnston (CoRR, 2022)

Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression. - David Minnen; Nick Johnston (ICIP, 2023)