| 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 |
| Joint autoregressive and hierarchical priors for learned image compression D Minnen, J Ballé, GD Toderici Advances in neural information processing systems 31, 2018 | 1251 | 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 |
| Variable rate image compression with recurrent neural networks G Toderici, SM O'Malley, SJ Hwang, D Vincent, D Minnen, S Baluja, ... arXiv preprint arXiv:1511.06085, 2015 | 741 | 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 |
| Channel-wise autoregressive entropy models for learned image compression D Minnen, S Singh 2020 IEEE International Conference on Image Processing (ICIP), 3339-3343, 2020 | 348 | 2020 |
| 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 |
| Discovering characteristic actions from on-body sensor data D Minnen, T Starner, I Essa, C Isbell 2006 10th IEEE international symposium on wearable computers, 11-18, 2006 | 213 | 2006 |
| Propagation networks for recognition of partially ordered sequential action Y Shi, Y Huang, D Minnen, A Bobick, I Essa Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision …, 2004 | 201 | 2004 |
| 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 |
| Expectation grammars: Leveraging high-level expectations for activity recognition D Minnen, I Essa, T Starner 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 160 | 2003 |
| Discovering multivariate motifs using subsequence density estimation and greedy mixture learning D Minnen, CL Isbell, I Essa, T Starner Proceedings of the national conference on artificial intelligence 22 (1), 615, 2007 | 131 | 2007 |
| The perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks T Starner, B Leibe, D Minnen, T Westyn, A Hurst, J Weeks Machine Vision and Applications 14, 59-71, 2003 | 121 | 2003 |
| Detecting subdimensional motifs: An efficient algorithm for generalized multivariate pattern discovery D Minnen, C Isbell, I Essa, T Starner Seventh IEEE International Conference on Data Mining (ICDM 2007), 601-606, 2007 | 118 | 2007 |
| Recognizing and discovering human actions from on-body sensor data D Minnen, T Starner, JA Ward, P Lukowicz, G Troster 2005 IEEE International Conference on Multimedia and Expo, 1545-1548, 2005 | 114 | 2005 |
| Performance metrics and evaluation issues for continuous activity recognition D Minnen, T Westeyn, T Starner, JA Ward, P Lukowicz Performance Metrics for Intelligent Systems 4, 141-148, 2006 | 98 | 2006 |
| Vct: A video compression transformer F Mentzer, G Toderici, D Minnen, SJ Hwang, S Caelles, M Lucic, ... arXiv preprint arXiv:2206.07307, 2022 | 91 | 2022 |
| Improving Activity Discovery with Automatic Neighborhood Estimation. D Minnen, T Starner, IA Essa, CL Isbell Jr IJCAI 7, 2814-2819, 2007 | 87 | 2007 |
| Recognizing soldier activities in the field D Minnen, T Westeyn, D Ashbrook, P Presti, T Starner 4th International Workshop on Wearable and Implantable Body Sensor Networks …, 2007 | 81 | 2007 |
| Videopoet: A large language model for zero-shot video generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, R Hornung, H Adam, ... arXiv preprint arXiv:2312.14125, 2023 | 75 | 2023 |
George TodericiGoogle, Inc.Verified email at google.com
