Johannes Ballé

65 papers A* 7A 1B 9C 6Misc 1Journal 31Unranked 9

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