| Variational image compression with a scale hyperprior J Ballé, D Minnen, S Singh, SJ Hwang, N Johnston arXiv preprint arXiv:1802.01436, 2018 | 1795 | 2018 |
| Full resolution image compression with recurrent neural networks G Toderici, D Vincent, N Johnston, S Jin Hwang, D Minnen, J Shor, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 1018 | 2017 |
| Im2Calories: towards an automated mobile vision food diary A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ... Proceedings of the IEEE International Conference on Computer Vision, 1233-1241, 2015 | 554 | 2015 |
| Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks N Johnston, D Vincent, D Minnen, M Covell, S Singh, T Chinen, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 451 | 2018 |
| 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 | 310 | 2020 |
| 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), 339-353, 2020 | 196 | 2020 |
| What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision J Malmaud, J Huang, V Rathod, N Johnston, A Rabinovich, K Murphy arXiv preprint arXiv:1503.01558, 2015 | 188 | 2015 |
| 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 | 74 | 2020 |
| Computationally Efficient Neural Image Compression N Johnston, E Eban, A Gordon, J Ballé arXiv preprint arXiv:1912.08771, 2019 | 73 | 2019 |
| Spatially adaptive image compression using a tiled deep network D Minnen, G Toderici, M Covell, T Chinen, N Johnston, J Shor, SJ Hwang, ... 2017 IEEE International Conference on Image Processing (ICIP), 2796-2800, 2017 | 68 | 2017 |
| Integer networks for data compression with latent-variable models J Ballé, N Johnston, D Minnen International Conference on Learning Representations, 2019 | 61 | 2019 |
| Neural video compression using gans for detail synthesis and propagation F Mentzer, E Agustsson, J Ballé, D Minnen, N Johnston, G Toderici Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 38 | 2022 |
| Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks B Isik, PA Chou, SJ Hwang, N Johnston, G Toderici Frontiers in Signal Processing 2, 1008812, 2022 | 30 | 2022 |
| Target-Quality Image Compression with Recurrent, Convolutional Neural Networks M Covell, N Johnston, D Minnen, SJ Hwang, J Shor, S Singh, D Vincent, ... arXiv preprint arXiv:1705.06687, 2017 | 24 | 2017 |
| No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference S Baluja, D Marwood, M Covell, N Johnston arXiv preprint arXiv:1809.09244, 2018 | 14 | 2018 |
| Towards A Semantic Perceptual Image Metric T Chinen, J Ballé, C Gu, SJ Hwang, S Ioffe, N Johnston, T Leung, ... 2018 25th IEEE International Conference on Image Processing (ICIP), 624-628, 2018 | 13 | 2018 |
| Towards generative video compression F Mentzer, E Agustsson, J Ballé, D Minnen, N Johnston, G Toderici arXiv preprint arXiv:2107.12038 1 (2), 2021 | 11 | 2021 |
| Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference M Covell, D Marwood, S Baluja, N Johnston arXiv preprint arXiv:1906.04798, 2019 | 11 | 2019 |
| Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression D Minnen, N Johnston 2023 IEEE International Conference on Image Processing (ICIP), 2940-2944, 2023 | 5 | 2023 |
| Learning to Render Better Image Previews S Baluja, D Marwood, N Johnston, M Covell 2019 IEEE International Conference on Image Processing (ICIP), 1700-1704, 2019 | 4* | 2019 |
