Sung Jin Hwang

According to our database, Sung Jin Hwang authored at least 12 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

VCT: A Video Compression Transformer.

Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

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

2020

Scale-Space Flow for End-to-End Optimized Video Compression.

Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Ballé, Sung Jin Hwang, George Toderici

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Variational image compression with a scale hyperprior.

Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston

Proceedings of the 6th International Conference on Learning Representations, 2018

Image-Dependent Local Entropy Models for Learned Image Compression.

David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell

Proceedings of the 2018 IEEE International Conference on Image Processing, 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, George Toderici

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

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

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Full Resolution Image Compression with Recurrent Neural Networks.

George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Variable Rate Image Compression with Recurrent Neural Networks.

George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

Proceedings of the 4th International Conference on Learning Representations, 2016