| Handbook of data compression D Salomon, G Motta Springer Science & Business Media, 2010 | 700 | 2010 |
| Low-complexity lossless compression of hyperspectral imagery via linear prediction F Rizzo, B Carpentieri, G Motta, JA Storer IEEE Signal Processing Letters 12 (2), 138-141, 2005 | 194 | 2005 |
| Hyperspectral data compression G Motta, F Rizzo, JA Storer Springer Science & Business Media, 2006 | 175 | 2006 |
| Compression of hyperspectral imagery G Motta, F Rizzo, JA Storer Data Compression Conference, 2003. Proceedings. DCC 2003, 333-342, 2003 | 110 | 2003 |
| Lossless image coding via adaptive linear prediction and classification G Motta, JA Storer, B Carpentieri Proceedings of the IEEE 88 (11), 1790-1796, 2000 | 87 | 2000 |
| Training speech recognition models with federated learning: A quality/cost framework D Guliani, F Beaufays, G Motta ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 85 | 2021 |
| Digital video coding with interpolation filters and offsets M Karczewicz, G Motta, Y Ye, P Chen US Patent 9,078,007, 2015 | 79 | 2015 |
| User experience and dependency management in a mobile device G Motta, S Marolia, B O'neill, M Slyz US Patent 8,752,044, 2014 | 78 | 2014 |
| Video encoding by filter selection G Motta, M Karczewicz, Y Ye US Patent 8,811,484, 2014 | 77 | 2014 |
| The iDUDE framework for grayscale image denoising G Motta, E Ordentlich, I Ramirez, G Seroussi, MJ Weinberger IEEE Transactions on Image Processing 20 (1), 1-21, 2010 | 69 | 2010 |
| Personalization of end-to-end speech recognition on mobile devices for named entities KC Sim, F Beaufays, A Benard, D Guliani, A Kabel, N Khare, T Lucassen, ... 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 23-30, 2019 | 66 | 2019 |
| Efficient generator of update packages for mobile devices G Motta US Patent 7,797,695, 2010 | 65 | 2010 |
| Offset calculation in switched interpolation filters M Karczewicz, G Motta, Y Ye, P Chen US Patent 8,750,378, 2014 | 56 | 2014 |
| High performance compression of hyperspectral imagery with reduced search complexity in the compressed domain F Rizzo, B Carpentieri, G Motta, JA Storer Data Compression Conference, 2004. Proceedings. DCC 2004, 479-488, 2004 | 40 | 2004 |
| Adaptive linear prediction lossless image coding G Motta, JA Storer, B Carpentieri Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096), 491-500, 1999 | 38 | 1999 |
| Filter prediction based on activity metrics in video coding M Karczewicz, G Motta, P Chen, Y Ye US Patent 9,143,803, 2015 | 37 | 2015 |
| Method and system for minimizing the length of a defect list for a storage device G Motta, E Ordentlich, G Seroussi, M Weinberger US Patent 7,013,378, 2006 | 37 | 2006 |
| Partial variable training for efficient on-device federated learning TJ Yang, D Guliani, F Beaufays, G Motta ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 31 | 2022 |
| Partitioned vector quantization: Application to lossless compression of hyperspectral images G Motta, F Rizzo, JA Storer 2003 International Conference on Multimedia and Expo. ICME'03. Proceedings …, 2003 | 27 | 2003 |
| Data compression: The complete reference. 2007 D Salomon With contributions by Giovanni Motta and David Bryant, 0 | 27 | |
Françoise BeaufaysResearch Scientist, GoogleVerified email at google.com
