George Toderici
George Toderici is a research scientist / TLM of the Neural Compression team in Google Research. He and his team are exploring new methods for compression of multimedia content using techniques inspired from the neural network domain. Previously he has worked on video classification tasks based on classical methods as well as more modern neural network-based methods. Dr. Toderici has been involved in organizing the first and second Workshop and Challenge on Learned Image Compression (CLIC 2018-2021 at CVPR), the first and second YouTube-8M workshop at CVPR 2017, ECCV 2018, ICCV 2019, the THUMOS 2014 workshop at ECCV, and is one of the co-authors of the Sports-1M and Atomic Video Actions (AVA) datasets. Previously he has served as a Deep Learning area co-chair for ACM Intl. Conf. on Multimedia (MM) in 2014, In addition, he has served in the program committees of CVPR, ECCV, ICCV, ICLR and NIPS for numerous years. His research interests include deep learning, action recognition and video classification.
Authored Publications
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Neural Video Compression using GANs for Detail Synthesis and Propagation
Johannes Ballé
European Conference on Computer Vision (2022)
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks
Phil Chou
Sung Jin Hwang
Journal of Frontiers in Signal Processing (2022)
VCT: A Video Compression Transformer
Sung Jin Hwang
NeurIPS 2022, NeurIPS 2022
Nonlinear Transform Coding
Johannes Ballé
Philip A. Chou
Sung Jin Hwang
IEEE Trans. on Special Topics in Signal Processing, 15 (2021) (to appear)
End-to-end Learning of Compressible Features
Johannes Ballé
Abhinav Shrivastava
2020 IEEE Int. Conf. on Image Processing (ICIP)
High Fidelity Generative Image Compression
Michael Tschannen
Advances in Neural Information Processing Systems 34 (2020)
Scale-Space Flow for End-to-End Optimized Video Compression
Johannes Ballé
Sung Jin Hwang
2020 IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates in Recurrent Convolutional Neural Networks
Damien Vincent
Michele Covell
Sung Jin Hwang
Joel Shor
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)
Towards a Semantic Perceptual Image Metric
Johannes Ballé
Sung Jin Hwang
Sergey Ioffe
Sean O'Malley
Charles Rosenberg
2018 25th IEEE Int. Conf. on Image Processing (ICIP)
Image-dependent local entropy models for image compression with deep networks
Sung Jin Hwang
Michele Covell
International Conference on Image Processing (2018)
