Johannes Ballé

Orcid: 0000-0003-0769-8985

According to our database1, Johannes Ballé authored at least 46 papers between 2007 and 2024.

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Bibliography

2024
Neural Distributed Compressor Discovers Binning.
IEEE J. Sel. Areas Inf. Theory, 2024

Fourier Basis Density Model.
Proceedings of the Picture Coding Symposium, 2024

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Wasserstein Distortion: Unifying Fidelity and Realism.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023
A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning.
Remote. Sens., September, 2023

Learned Wyner-Ziv Compressors Recover Binning.
Proceedings of the IEEE International Symposium on Information Theory, 2023

A Rate-Distortion View on Model Updates.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory.
CoRR, 2022

Do Neural Networks Compress Manifolds Optimally?
Proceedings of the IEEE Information Theory Workshop, 2022

On the relation between statistical learning and perceptual distances.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Video Compression Using GANs for Detail Synthesis and Propagation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Hyperspectral remote sensing data compression with neural networks.
Proceedings of the Data Compression Conference, 2022

Optimal Compression of Locally Differentially Private Mechanisms.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Nonlinear Transform Coding.
IEEE J. Sel. Top. Signal Process., 2021

Towards Generative Video Compression.
CoRR, 2021

3D Scene Compression through Entropy Penalized Neural Representation Functions.
Proceedings of the Picture Coding Symposium, 2021

Neural Networks Optimally Compress the Sawbridge.
Proceedings of the 31st Data Compression Conference, 2021

2020
An Unsupervised Information-Theoretic Perceptual Quality Metric.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Model Compression by Entropy Penalized Reparameterization.
Proceedings of the 8th International Conference on Learning Representations, 2020

End-to-End Learning of Compressible Features.
Proceedings of the IEEE International Conference on Image Processing, 2020

Scale-Space Flow for End-to-End Optimized Video Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Computationally Efficient Neural Image Compression.
CoRR, 2019

Model Compression by Entropy Penalized Reparameterization.
CoRR, 2019

Accelerating Training of Deep Neural Networks with a Standardization Loss.
CoRR, 2019

Integer Networks for Data Compression with Latent-Variable Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Efficient Nonlinear Transforms for Lossy Image Compression.
Proceedings of the 2018 Picture Coding Symposium, 2018

Joint Autoregressive and Hierarchical Priors for Learned Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Variational image compression with a scale hyperprior.
Proceedings of the 6th International Conference on Learning Representations, 2018

Towards A Semantic Perceptual Image Metric.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Perceptually Optimized Image Rendering.
CoRR, 2017

Eigen-Distortions of Hierarchical Representations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

End-to-end Optimized Image Compression.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Density Modeling of Images using a Generalized Normalization Transformation.
Proceedings of the 4th International Conference on Learning Representations, 2016

End-to-end optimization of nonlinear transform codes for perceptual quality.
Proceedings of the 2016 Picture Coding Symposium, 2016

Perceptual image quality assessment using a normalized Laplacian pyramid.
Proceedings of the Human Vision and Electronic Imaging, 2016

2015
The local low-dimensionality of natural images.
Proceedings of the 3rd International Conference on Learning Representations, 2015

2014
Learning sparse filter bank transforms with convolutional ICA.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012
Image compression by microtexture synthesis.
PhD thesis, 2012

Efficient shift-variant image restoration using deformable filtering (Part II): PSF field estimation.
EURASIP J. Adv. Signal Process., 2012

Median trilateral loop filter for depth map video coding.
Proceedings of the 2012 Picture Coding Symposium, 2012

Subjective evaluation of texture similarity metrics for compression applications.
Proceedings of the 2012 Picture Coding Symposium, 2012

2011
Models for Static and Dynamic Texture Synthesis in Image and Video Compression.
IEEE J. Sel. Top. Signal Process., 2011

Improved entropy coding for component-based image coding.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
MATLAB Meets LEGO Mindstorms - A Freshman Introduction Course Into Practical Engineering.
IEEE Trans. Educ., 2010

2009
Component-based image coding using non-local means filtering and an autoregressive texture model.
Proceedings of the International Conference on Image Processing, 2009

2007
Extended Texture Prediction for H.264/AVC Intra Coding.
Proceedings of the International Conference on Image Processing, 2007


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