Sung Jin Hwang

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 20

Top Topics

Image Compression

Top Venues

Publications

Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. NeurIPS (2022)
Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. CoRR (2022)
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)
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)
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)
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
Image-Dependent Local Entropy Models for Learned Image Compression. 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)
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
Image-Dependent Local Entropy Models for Learned Image Compression. ICIP (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)
George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar
Variable Rate Image Compression with Recurrent Neural Networks. ICLR (Poster) (2016)