A new trellis vector residual quantizer: applications to image coding. - Giovanni Motta; Bruno Carpentieri (ICASSP, 1997)

Adaptive Linear Prediction Lossless Image Coding. - Giovanni Motta; James A. Storer; Bruno Carpentieri (Data Compression Conference, 1999)

Improving Scene Cut Quality for Real-Time Video Decoding. - Giovanni Motta; James A. Storer; Bruno Carpentieri (Data Compression Conference, 2000)

Lossless image coding via adaptive linear prediction and classification. - Giovanni Motta; James A. Storer; Bruno Carpentieri (Proc. IEEE, 2000)

Compression of Hyperspectral Imagery. - Giovanni Motta; Francesco Rizzo; James A. Storer (DCC, 2003)

Partitioned vector quantization: application to lossless compression of hyperspectral images. - Giovanni Motta; Francesco Rizzo; James A. Storer (ICASSP (3), 2003)

High Performance Compression of Hyperspectral Imagery with Reduced Search Complexity in the Compressed Domain. - Francesco Rizzo; Bruno Carpentieri; Giovanni Motta; James A. Storer (Data Compression Conference, 2004)

Compression of Hyperspectral Imagery. - Bruno Carpentieri; James A. Storer; Giovanni Motta; Francesco Rizzo (ICETE (3), 2004)

The DUDE framework for continuous tone image denoising. - Gadiel Seroussi; Giovanni Motta; Erik Ordentlich; Ignacio Ramírez; Marcelo J. Weinberger (ICIP (3), 2005)

Low-complexity lossless compression of hyperspectral imagery via linear prediction. - Francesco Rizzo; Bruno Carpentieri; Giovanni Motta; James A. Storer (IEEE Signal Process. Lett., 2005)

Compression of hyperspectral imagery via linear prediction. - Francesco Rizzo; Bruno Carpentieri; Giovanni Motta; James A. Storer (e-Business and Telecommunication Networks, 2006)

Locally Optimal Partitioned Vector Quantization of Hyperspectral Data. - Giovanni Motta; Francesco Rizzo; James A. Storer (Hyperspectral Data Compression, 2006)

Texture Classification Using VQ with Feature Extraction based on Transforms Motivated by the Human Visual System. - Antonella Di Lillo; James A. Storer; Giovanni Motta (DCC, 2007)

Differential Compression of Executable Code. - Giovanni Motta; James Gustafson; Samson Chen (DCC, 2007)

Supervised Segmentation Based on Texture Signatures Extracted in the Frequency Domain. - Antonella Di Lillo; Giovanni Motta; James A. Storer (IbPRIA (1), 2007)

Texture Classification Based on Discriminative Features Extracted in the Frequency Domain. - Antonella Di Lillo; Giovanni Motta; James A. Storer (ICIP (2), 2007)

Multiresolution Rotation-Invariant Texture Classification Using Feature Extraction in the Frequency Domain and Vector Quantization. - Antonella Di Lillo; Giovanni Motta; James A. Storer (DCC, 2008)

Defect List Compression. - Giovanni Motta; Erik Ordentlich; Marcelo J. Weinberger (DCC, 2008)

Handbook of Data Compression (5. ed.). - David Salomon; Giovanni Motta (Springer, 2010)

Shape Recognition Using Vector Quantization. - Antonella Di Lillo; Giovanni Motta; James A. Storer (DCC, 2010)

Enhanced Adaptive Interpolation Filters for Video Coding. - Yan Ye; Giovanni Motta; Marta Karczewicz (DCC, 2010)

A rotation and scale invariant descriptor for shape recognition. - Antonella Di Lillo; Giovanni Motta; James A. Storer (ICIP, 2010)

Shape recognition, with applications to a passive assistant. - Antonella Di Lillo; Giovanni Motta; Kevin Thomas 003; James A. Storer (PETRA, 2010)

Applications of Compression to Content Based Image Retrieval and Object Recognition. - Antonella Di Lillo; Ajay H. Daptardar; Kevin Thomas 003; James A. Storer; Giovanni Motta (CCP, 2011)

The iDUDE Framework for Grayscale Image Denoising. - Giovanni Motta; Erik Ordentlich; Ignacio Ramírez; Gadiel Seroussi; Marcelo J. Weinberger (IEEE Trans. Image Process., 2011)

Compression-Based Tools for Navigation with an Image Database. - Antonella Di Lillo; Ajay H. Daptardar; Kevin Thomas 003; James A. Storer; Giovanni Motta (Algorithms, 2012)

Human-Driven Edge Computing and Communication: Part 1. - Jiannong Cao 001; Aniello Castiglione; Giovanni Motta; Florin Pop; Yanjiang Yang; Wanlei Zhou 001 (IEEE Commun. Mag., 2017)

Human-Driven Edge Computing and Communication: Part 2. - Jiannong Cao 001; Aniello Castiglione; Giovanni Motta; Florin Pop; Yanjiang Yang; Wanlei Zhou 001 (IEEE Commun. Mag., 2018)

Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. - 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 (ASRU, 2019)

Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. - Mary Gooneratne; Khe Chai Sim; Petr Zadrazil; Andreas Kabel; Françoise Beaufays; Giovanni Motta (ICASSP, 2020)

Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. - Dhruv Guliani; Françoise Beaufays; Giovanni Motta (ICASSP, 2021)

Enabling On-Device Training of Speech Recognition Models With Federated Dropout. - Dhruv Guliani; Lillian Zhou; Changwan Ryu; Tien-Ju Yang; Harry Zhang; Yonghui Xiao; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Partial Variable Training for Efficient on-Device Federated Learning. - Tien-Ju Yang; Dhruv Guliani; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. - Lillian Zhou; Dhruv Guliani; Andreas Kabel; Giovanni Motta; Françoise Beaufays (ICASSP, 2022)

Federated Pruning: Improving Neural Network Efficiency with Federated Learning. - Rongmei Lin; Yonghui Xiao; Tien-Ju Yang; Ding Zhao; Li Xiong 001; Giovanni Motta; Françoise Beaufays (INTERSPEECH, 2022)

The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. - Lillian Zhou; Yuxin Ding; Mingqing Chen; Harry Zhang; Rohit Prabhavalkar; Dhruv Guliani; Giovanni Motta; Rajiv Mathews (ASRU, 2023)

Online Model Compression for Federated Learning with Large Models. - Tien-Ju Yang; Yonghui Xiao; Giovanni Motta; Françoise Beaufays; Rajiv Mathews; Mingqing Chen (ICASSP, 2023)