Giovanni Motta

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 20

Top Topics

Wall Street Journal Corpus

Speech Recognition

Top Venues

IEEE Commun. Mag.

Publications

Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. ASRU (2023)
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
Online Model Compression for Federated Learning with Large Models. ICASSP (2023)
Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. CoRR (2023)
Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta
Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP (2022)
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen
Online Model Compression for Federated Learning with Large Models. CoRR (2022)
Lillian Zhou, Dhruv Guliani, Andreas Kabel, Giovanni Motta, Françoise Beaufays
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. ICASSP (2022)
Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR (2022)
Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
Partial Variable Training for Efficient on-Device Federated Learning. ICASSP (2022)
Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH (2022)
Dhruv Guliani, Françoise Beaufays, Giovanni Motta
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. ICASSP (2021)
Lillian Zhou, Dhruv Guliani, Andreas Kabel, Giovanni Motta, Françoise Beaufays
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. CoRR (2021)
Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta
Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR (2021)
Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
Partial Variable Training for Efficient On-Device Federated Learning. CoRR (2021)
Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta
Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. ICASSP (2020)
Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network. CoRR (2020)
Dhruv Guliani, Françoise Beaufays, Giovanni Motta
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. CoRR (2020)
Khe Chai Sim, Leif Johnson, Giovanni Motta, Lillian Zhou, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang
Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. ASRU (2019)
Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, Giovanni Motta, Lillian Zhou
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. CoRR (2019)
Jiannong Cao, Aniello Castiglione, Giovanni Motta, Florin Pop, Yanjiang Yang, Wanlei Zhou
Human-Driven Edge Computing and Communication: Part 2. IEEE Commun. Mag. 56 (2) (2018)
Jiannong Cao, Aniello Castiglione, Giovanni Motta, Florin Pop, Yanjiang Yang, Wanlei Zhou
Human-Driven Edge Computing and Communication: Part 1. IEEE Commun. Mag. 55 (11) (2017)
Antonella Di Lillo, Ajay H. Daptardar, Kevin Thomas, James A. Storer, Giovanni Motta
Compression-Based Tools for Navigation with an Image Database. Algorithms 5 (1) (2012)
Antonella Di Lillo, Ajay H. Daptardar, Kevin Thomas, James A. Storer, Giovanni Motta
Applications of Compression to Content Based Image Retrieval and Object Recognition. CCP (2011)
Giovanni Motta, Erik Ordentlich, Ignacio Ramírez, Gadiel Seroussi, Marcelo J. Weinberger
The iDUDE Framework for Grayscale Image Denoising. IEEE Trans. Image Process. 20 (1) (2011)
Antonella Di Lillo, Giovanni Motta, James A. Storer
Shape Recognition Using Vector Quantization. DCC (2010)
Yan Ye, Giovanni Motta, Marta Karczewicz
Enhanced Adaptive Interpolation Filters for Video Coding. DCC (2010)
Antonella Di Lillo, Giovanni Motta, Kevin Thomas, James A. Storer
Shape recognition, with applications to a passive assistant. PETRA (2010)
Antonella Di Lillo, Giovanni Motta, James A. Storer
A rotation and scale invariant descriptor for shape recognition. ICIP (2010)
Giovanni Motta, Erik Ordentlich, Marcelo J. Weinberger
Defect List Compression. DCC (2008)
Giovanni Motta, Erik Ordentlich, Marcelo J. Weinberger
Defect list compression. ISIT (2008)
Antonella Di Lillo, Giovanni Motta, James A. Storer
Multiresolution Rotation-Invariant Texture Classification Using Feature Extraction in the Frequency Domain and Vector Quantization. DCC (2008)
Antonella Di Lillo, Giovanni Motta, James A. Storer
Supervised Segmentation Based on Texture Signatures Extracted in the Frequency Domain. IbPRIA (1) (2007)
Giovanni Motta, James Gustafson, Samson Chen
Differential Compression of Executable Code. DCC (2007)
Antonella Di Lillo, James A. Storer, Giovanni Motta
Texture Classification Using VQ with Feature Extraction based on Transforms Motivated by the Human Visual System. DCC (2007)
Antonella Di Lillo, Giovanni Motta, James A. Storer
Texture Classification Based on Discriminative Features Extracted in the Frequency Domain. ICIP (2) (2007)
Gadiel Seroussi, Giovanni Motta, Erik Ordentlich, Ignacio Ramírez, Marcelo J. Weinberger
The DUDE framework for continuous tone image denoising. ICIP (3) (2005)
Francesco Rizzo, Bruno Carpentieri, Giovanni Motta, James A. Storer
Low-complexity lossless compression of hyperspectral imagery via linear prediction. IEEE Signal Process. Lett. 12 (2) (2005)
Bruno Carpentieri, James A. Storer, Giovanni Motta, Francesco Rizzo
Compression of Hyperspectral Imagery. ICETE (3) (2004)
Francesco Rizzo, Bruno Carpentieri, Giovanni Motta, James A. Storer
High Performance Compression of Hyperspectral Imagery with Reduced Search Complexity in the Compressed Domain. Data Compression Conference (2004)
Giovanni Motta, Francesco Rizzo, James A. Storer
Partitioned vector quantization: application to lossless compression of hyperspectral images. ICASSP (3) (2003)
Giovanni Motta, Francesco Rizzo, James A. Storer
Partitioned vector quantization: application to lossless compression of hyperspectral images. ICME (2003)
Giovanni Motta, Francesco Rizzo, James A. Storer
Compression of Hyperspectral Imagery. DCC (2003)
Giovanni Motta, James A. Storer, Bruno Carpentieri
Improving Scene Cut Quality for Real-Time Video Decoding. Data Compression Conference (2000)
Giovanni Motta, James A. Storer, Bruno Carpentieri
Lossless image coding via adaptive linear prediction and classification. Proc. IEEE 88 (11) (2000)
Giovanni Motta, James A. Storer, Bruno Carpentieri
Adaptive Linear Prediction Lossless Image Coding. Data Compression Conference (1999)
Giovanni Motta, Bruno Carpentieri
A new trellis vector residual quantizer: applications to image coding. ICASSP (1997)