Johannes Ballé

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 54

Top Venues

RWTH Aachen University (PHD)

Education History

RWTH Aachen University

PHD

Publications

Alfredo De la Fuente, Saurabh Singh, Johannes Ballé
Fourier Basis Density Model. PCS (2024)
Ezgi Özyilkan, Johannes Ballé, Elza Erkip
Neural Distributed Compressor Discovers Binning. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Yang Qiu, Aaron B. Wagner, Johannes Ballé, Lucas Theis
Wasserstein Distortion: Unifying Fidelity and Realism. CISS (2024)
Daniel Severo, Lucas Theis, Johannes Ballé
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric. ICLR (2024)
Alfredo De la Fuente, Saurabh Singh, Johannes Ballé
Fourier Basis Density Model. CoRR (2024)
Ezgi Özyilkan, Johannes Ballé, Elza Erkip
Neural Distributed Compressor Discovers Binning. CoRR (2023)
Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning. Remote. Sens. 15 (18) (2023)
Yang Qiu, Aaron B. Wagner, Johannes Ballé, Lucas Theis
Wasserstein Distortion: Unifying Fidelity and Realism. CoRR (2023)
Ezgi Özyilkan, Johannes Ballé, Elza Erkip
Learned Wyner-Ziv Compressors Recover Binning. ISIT (2023)
Ezgi Özyilkan, Johannes Ballé, Elza Erkip
Learned Wyner-Ziv Compressors Recover Binning. CoRR (2023)
Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný
A Rate-Distortion View on Model Updates. Tiny Papers @ ICLR (2023)
Daniel Severo, Lucas Theis, Johannes Ballé
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric. CoRR (2023)
Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis
Optimal Compression of Locally Differentially Private Mechanisms. AISTATS (2022)
Sourbh Bhadane, Aaron B. Wagner, Johannes Ballé
Do Neural Networks Compress Manifolds Optimally? CoRR (2022)
Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
Hyperspectral remote sensing data compression with neural networks. DCC (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) (2022)
Sourbh Bhadane, Aaron B. Wagner, Johannes Ballé
Do Neural Networks Compress Manifolds Optimally? ITW (2022)
Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory. CoRR (2022)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo
On the relation between statistical learning and perceptual distances. ICLR (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Towards Generative Video Compression. CoRR (2021)
Aaron B. Wagner, Johannes Ballé
Neural Networks Optimally Compress the Sawbridge. DCC (2021)
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
3D Scene Compression through Entropy Penalized Neural Representation Functions. PCS (2021)
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
3D Scene Compression through Entropy Penalized Neural Representation Functions. CoRR (2021)
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)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo
On the relation between statistical learning and perceptual distances. CoRR (2021)
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
Scalable Model Compression by Entropy Penalized Reparameterization. ICLR (2020)
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)
Aaron B. Wagner, Johannes Ballé
Neural Networks Optimally Compress the Sawbridge. CoRR (2020)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. CoRR (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-end Learning of Compressible Features. CoRR (2020)
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy T. Chinen
An Unsupervised Information-Theoretic Perceptual Quality Metric. NeurIPS (2020)
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé, Troy T. Chinen
An Unsupervised Information-Theoretic Perceptual Quality Metric. CoRR (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-End Learning of Compressible Features. ICIP (2020)
Johannes Ballé, Nick Johnston, David Minnen
Integer Networks for Data Compression with Latent-Variable Models. ICLR (Poster) (2019)
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
Model Compression by Entropy Penalized Reparameterization. CoRR (2019)
Jasmine Collins, Johannes Ballé, Jonathon Shlens
Accelerating Training of Deep Neural Networks with a Standardization Loss. CoRR (2019)
Nick Johnston, Elad Eban, Ariel Gordon, Johannes Ballé
Computationally Efficient Neural Image Compression. CoRR (2019)
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)
Johannes Ballé
Efficient Nonlinear Transforms for Lossy Image Compression. PCS (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. CoRR (2018)
David Minnen, Johannes Ballé, George Toderici
Joint Autoregressive and Hierarchical Priors 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, Johannes Ballé, George Toderici
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. NeurIPS (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. ICLR (Poster) (2018)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end Optimized Image Compression. ICLR (2017)
Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli
Eigen-Distortions of Hierarchical Representations. NIPS (2017)
Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli
Perceptually Optimized Image Rendering. CoRR (2017)
Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli
Eigen-Distortions of Hierarchical Representations. CoRR (2017)
Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli
Perceptual image quality assessment using a normalized Laplacian pyramid. HVEI (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
Density Modeling of Images using a Generalized Normalization Transformation. ICLR (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end optimization of nonlinear transform codes for perceptual quality. PCS (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end Optimized Image Compression. CoRR (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end optimization of nonlinear transform codes for perceptual quality. CoRR (2016)
Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli
The local low-dimensionality of natural images. ICLR (2015)
Johannes Ballé, Eero P. Simoncelli
Learning sparse filter bank transforms with convolutional ICA. ICIP (2014)
Fabian Jäger, Johannes Ballé
Median trilateral loop filter for depth map video coding. PCS (2012)
Johannes Ballé
Subjective evaluation of texture similarity metrics for compression applications. PCS (2012)
David Miraut, Johannes Ballé, Javier Portilla
Efficient shift-variant image restoration using deformable filtering (Part II): PSF field estimation. EURASIP J. Adv. Signal Process. 2012 (2012)
Johannes Ballé, Aleksandar Stojanovic, Jens-Rainer Ohm
Models for Static and Dynamic Texture Synthesis in Image and Video Compression. IEEE J. Sel. Top. Signal Process. 5 (7) (2011)
Christian Feldmann, Johannes Ballé
Improved entropy coding for component-based image coding. ICIP (2011)
Alexander Behrens, Linus Atorf, Robert Schwann, Bernd Neumann, Rainer Schnitzler, Johannes Ballé, Thomas Herold, Aulis Telle, Tobias G. Noll, Kay Hameyer, Til Aach
MATLAB Meets LEGO Mindstorms - A Freshman Introduction Course Into Practical Engineering. IEEE Trans. Educ. 53 (2) (2010)
Johannes Ballé, Bastian Jurczyk, Aleksandar Stojanovic
Component-based image coding using non-local means filtering and an autoregressive texture model. ICIP (2009)
Johannes Ballé, Mathias Wien
Extended Texture Prediction for H.264/AVC Intra Coding. ICIP (6) (2007)

Johannes Ballé.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Johannes Ballé