| Variational image compression with a scale hyperprior J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston International Conference on Learning Representations (ICLR) 2018, 2018 | 2116 | 2018 |
| End-to-end Optimized Image Compression J Ballé, V Laparra, EP Simoncelli International Conference on Learning Representations (ICLR) 2017, 2017 | 2102 | 2017 |
| Joint autoregressive and hierarchical priors for learned image compression D Minnen, J Ballé, GD Toderici Advances in Neural Information Processing Systems (NeurIPS) 31, 10771-10780, 2018 | 1486 | 2018 |
| Density Modeling of Images using a Generalized Normalization Transformation J Ballé, V Laparra, EP Simoncelli International Conference on Learning Representations (ICLR) 2016, 2015 | 467 | 2015 |
| Scale-space flow for end-to-end optimized video compression E Agustsson, D Minnen, N Johnston, J Balle, SJ Hwang, G Toderici Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 360 | 2020 |
| End-to-end optimization of nonlinear transform codes for perceptual quality J Ballé, V Laparra, EP Simoncelli Picture Coding Symposium (PCS) 2016, 2016 | 302 | 2016 |
| Nonlinear Transform Coding J Ballé, PA Chou, D Minnen, S Singh, N Johnston, E Agustsson, ... IEEE Journal of Selected Topics in Signal Processing 15 (2), 2021 | 242 | 2021 |
| MATLAB meets LEGO Mindstorms—A freshman introduction course into practical engineering A Behrens, L Atorf, R Schwann, B Neumann, R Schnitzler, J Balle, ... IEEE Transactions on Education 53 (2), 306-317, 2009 | 207 | 2009 |
| Perceptual image quality assessment using a normalized Laplacian pyramid V Laparra, J Ballé, A Berardino, EP Simoncelli Electronic Imaging 28, 1-6, 2016 | 189 | 2016 |
| Efficient Nonlinear Transforms for Lossy Image Compression J Ballé Picture Coding Symposium (PCS) 2018, 2018 | 96 | 2018 |
| Multihypothesis prediction using decoder side-motion vector derivation in inter-frame video coding S Kamp, J Ballé, M Wien Visual Communications and Image Processing 2009 7257, 17-24, 2009 | 96 | 2009 |
| End-to-end learning of compressible features S Singh, S Abu-El-Haija, N Johnston, J Ballé, A Shrivastava, G Toderici 2020 IEEE International Conference on Image Processing (ICIP), 3349-3353, 2020 | 85 | 2020 |
| Eigen-distortions of hierarchical representations A Berardino, V Laparra, J Ballé, E Simoncelli Advances in Neural Information Processing Systems (NeurIPS) 30, 3530-3539, 2017 | 81 | 2017 |
| Integer Networks for Data Compression with Latent-Variable Models J Ballé, N Johnston, D Minnen International Conference on Learning Representations (ICLR) 2019, 2019 | 80 | 2019 |
| Perceptually optimized image rendering V Laparra, A Berardino, J Ballé, EP Simoncelli Journal of the Optical Society of America A 34 (9), 1511-1525, 2017 | 80 | 2017 |
| Computationally Efficient Neural Image Compression N Johnston, E Eban, A Gordon, J Ballé arXiv preprint arXiv:1912.08771, 2019 | 78 | 2019 |
| Models for static and dynamic texture synthesis in image and video compression J Balle, A Stojanovic, JR Ohm IEEE Journal of Selected Topics in Signal Processing 5 (7), 1353-1365, 2011 | 61 | 2011 |
| Neural video compression using GANs for detail synthesis and propagation F Mentzer, E Agustsson, J Ballé, D Minnen, N Johnston, G Toderici European Conference on Computer Vision, 2022 | 58* | 2022 |
| Scalable model compression by entropy penalized reparameterization D Oktay, J Ballé, S Singh, A Shrivastava International Conference on Learning Representations (ICLR) 2020, 2020 | 53 | 2020 |
| Extended texture prediction for H. 264/AVC intra coding J Ballé, M Wien ICIP 2007. IEEE International Conference on Image Processing, 2007 6, VI-93 …, 2007 | 51 | 2007 |
David MinnenGoogleVerified email at google.com
