Marco Grangetto

230 papers A* 4A 15B 25C 15Misc 6Journal 111Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anatomical foundation models for brain MRIs. Pattern Recognit. Lett. Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto
2026	J	`jnl`	Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation. CoRR Michele Cannito, Riccardo Renzulli, Adson Duarte, Farzad Nikfam, Carlo Alberto Barbano, Enrico Chiesa, Francesco Bruno, Federico Giacobbe, Wojciech Wanha, Arturo Giordano, Marco Grangetto, Fabrizio D'Ascenzo
2026	J	`jnl`	Capsule networks do not need to model everything. Pattern Recognit. Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2026	J	`jnl`	Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data. CoRR Adson Duarte, Davide Vitturini, Emanuele Milillo, Andrea Bragagnolo, Carlo Alberto Barbano, Riccardo Renzulli, Michele Cannito, Federico Giacobbe, Francesco Bruno, Ovidio De Filippo, Fabrizio D'Ascenzo, Marco Grangetto
2026	J	`jnl`	Robust brain age estimation from structural MRI with contrastive learning. Pattern Recognit. Lett. Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2026	J	`jnl`	Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation. CoRR Giorgio Chiesa, Rossella Borra, Vittorio Lauro, Sabrina De Cillis, Daniele Amparore, Cristian Fiori, Riccardo Renzulli, Marco Grangetto
2026	J	`jnl`	TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones. Neurocomputing Gabriele Spadaro, Andrea Bragagnolo, Riccardo Renzulli, Marco Grangetto, Jhony H. Giraldo, Attilio Fiandrotti, Enzo Tartaglione
2026	J	`jnl`	Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models. Pattern Recognit. Lett. Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves
2025	A	`conf`	Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates. ICME Gabriele Spadaro, Alberto Presta, Jhony H. Giraldo, Marco Grangetto, Wei Hu, Giuseppe Valenzise, Attilio Fiandrotti, Enzo Tartaglione
2025	J	`jnl`	Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates. CoRR Gabriele Spadaro, Alberto Presta, Jhony H. Giraldo, Marco Grangetto, Wei Hu, Giuseppe Valenzise, Attilio Fiandrotti, Enzo Tartaglione
2025	—	`conf`	Efficient Federated Model Aggregation through Neural Velocity. FedEdge-AI@MobiCom Gianluca Dalmasso, Pedro Porto Buarque de Gusmão, Attilio Fiandrotti, Marco Grangetto
2025	A	`conf`	Efficient Progressive Image Compression with Variance-Aware Masking. WACV Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela C. Cosman
2025	J	`jnl`	GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression. CoRR Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione
2025	Misc	`conf`	Improving Generative Data Augmentation with Prior-Knowledge for Dysplasia Grading of Colorectal Polyps. ICIAP Roberto Craparotta, Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Enzo Tartaglione, Alessandro Gambella, Luca Cavallo, Paola Cassoni, Luca Bertero, Marco Grangetto
2025	J	`jnl`	MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders. CoRR Riccardo Renzulli, Colas Lepoutre, Enrico Cassano, Marco Grangetto
2025	B	`conf`	Neural Velocity for hyperparameter tuning. IJCNN Gianluca Dalmasso, Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2025	J	`jnl`	Neural Velocity for hyperparameter tuning. CoRR Gianluca Dalmasso, Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2025	J	`jnl`	Robust brain age estimation from structural MRI with contrastive learning. CoRR Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2025	J	`jnl`	SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders. CoRR Enrico Cassano, Riccardo Renzulli, Marco Nurisso, Mirko Zaffaroni, Alan Perotti, Marco Grangetto
2025	J	`jnl`	STanH: Parametric Quantization for Variable Rate Learned Image Compression. IEEE Trans. Image Process. Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2025	J	`jnl`	Spherical Voronoi: Directional Appearance as a Differentiable Partition of the Sphere. CoRR Francesco Di Sario, Daniel Rebain, Dor Verbin, Marco Grangetto, Andrea Tagliasacchi
2025	C	`conf`	Towards RISC-V-based HPC: The Italian Pathfinding Activities in the DARE-SGA1 Project. DSD Giovanni Agosta, Marco Aldinucci, Andrea Bartolini, Laura Bellentani, Andrea Biagioni, Daniele Cesarini, Carlotta Chiarini, Iacopo Colonnelli, Pietro Delugas, Lev Denisov, Ottorino Frezza, Marco Grangetto, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Andrea Maslov, Mauro Olivieri, Pierpaolo Perticaroli, Luca Pontisso, Cristian Rossi, Davide Rossi, Sergio Saponara, Antonio Sciarappa, Francesco Simula, Matteo Sonza Reorda, Massimo Torquati, Piero Vicini
2025	J	`jnl`	Unsupervised Learning of Unbiased Visual Representations. IEEE Trans. Artif. Intell. Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
2025	—	`conf`	When Does Pruning Benefit Vision Representations? ICIAP (2) Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto
2025	J	`jnl`	When Does Pruning Benefit Vision Representations? CoRR Enrico Cassano, Riccardo Renzulli, Andrea Bragagnolo, Marco Grangetto
2025	A	`conf`	WiGNet: Windowed Vision Graph Neural Network. WACV Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo
2024	J	`jnl`	A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. Neural Comput. Appl. Hafiza Ayesha Hoor Chaudhry, Muhammad Shahid Farid, Attilio Fiandrotti, Marco Grangetto
2024	—	`conf`	AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data. ECCV Workshops (7) Mirko Zaffaroni, Federico Signoretta, Marco Grangetto, Attilio Fiandrotti
2024	J	`jnl`	AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data. CoRR Mirko Zaffaroni, Federico Signoretta, Marco Grangetto, Attilio Fiandrotti
2024	J	`jnl`	AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation. CoRR Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto
2024	—	`conf`	AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation. ISBI Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto
2024	C	`conf`	ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. VCIP Gabriele Spadaro, Muhammad Salman Ali, Alberto Presta, Giommaria Pilo, Sung-Ho Bae, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
2024	J	`jnl`	Anatomical Foundation Models for Brain MRIs. CoRR Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto
2024	—	`conf`	Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. ECCV (83) Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2024	J	`jnl`	Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. CoRR Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2024	J	`jnl`	COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Abdenour Hadid, Suman Chaudhary, Wanting Yang, Yan Qiang, Talha Anwar, Mihaela Elena Breaban, Chih-Chung Hsu, Shen-Chieh Tai, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato
2024	J	`jnl`	Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. CoRR Guglielmo Gallone, Francesco Iodice, Alberto Presta, Davide Tore, Ovidio De Filippo, Michele Visciano, Carlo Alberto Barbano, Alessandro Serafini, Paola Gorrini, Alessandro Bruno, Walter Grosso Marra, James Hughes, Mario Iannaccone, Paolo Fonio, Attilio Fiandrotti, Alessandro Depaoli, Marco Grangetto, Gaetano Maria de Ferrari, Fabrizio D'Ascenzo
2024	B	`conf`	Domain Adaptation for Learned Image Compression with Supervised Adapters. DCC Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2024	J	`jnl`	Domain Adaptation for Learned Image Compression with Supervised Adapters. CoRR Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2024	J	`jnl`	Efficient Progressive Image Compression with Variance-aware Masking. CoRR Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela C. Cosman
2024	J	`jnl`	GABIC: Graph-based Attention Block for Image Compression. CoRR Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti
2024	B	`conf`	Gabic: Graph-Based Attention Block for Image Compression. ICIP Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti
2024	J	`jnl`	High capacity reversible data hiding in radiographic images with optimal bit allocation. Multim. Tools Appl. Davide Cavagnino, Alessandro Druetto, Marco Grangetto, Maurizio Lucenteforte
2024	J	`jnl`	Knowledge Transfer Across Modalities with Natural Language Supervision. CoRR Carlo Alberto Barbano, Luca Molinaro, Emanuele Aiello, Marco Grangetto
2024	—	`conf`	Multi-target Stain Normalization for Histology Slides. MOVI@MICCAI Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Marco Grangetto
2024	J	`jnl`	Multi-target stain normalization for histology slides. CoRR Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Marco Grangetto
2024	J	`jnl`	STanH : Parametric Quantization for Variable Rate Learned Image Compression. CoRR Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2024	J	`jnl`	Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves
2024	J	`jnl`	WiGNet: Windowed Vision Graph Neural Network. CoRR Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo
2023	—	`conf`	A Differentiable Entropy Model for Learned Image Compression. ICIAP (1) Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto
2023	—	`conf`	A round-trip journey in pruned artificial neural networks. Ital-IA Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto
2023	—	`conf`	Artificial intelligence methods for biomedical imaging and omics data. Ital-IA Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto
2023	—	`conf`	Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2023	J	`jnl`	Disentangling private classes through regularization. Neurocomputing Enzo Tartaglione, Francesca Gennari, Victor Quétu, Marco Grangetto
2023	—	`conf`	Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
2023	J	`jnl`	Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. Frontiers Neuroinformatics Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui
2023	—	`conf`	Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. ICCV (Workshops) Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
2023	—	`conf`	Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. ICIAP (2) Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2023	A*	`conf`	Unbiased Supervised Contrastive Learning. ICLR Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
2022	—	`conf`	A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images. ICIAP (1) Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
2022	J	`jnl`	Contrastive learning for regression in multi-site brain age prediction. CoRR Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2022	—	`conf`	Deep Regression by Feature Regularization for COVID-19 Severity Prediction. ICIAP Workshops Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto
2022	J	`jnl`	Disentangling private classes through regularization. CoRR Enzo Tartaglione, Francesca Gennari, Marco Grangetto
2022	J	`jnl`	LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
2022	J	`jnl`	REM: Routing Entropy Minimization for Capsule Networks. CoRR Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
2022	J	`jnl`	SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
2022	—	`ch.`	The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures. Technologies and Applications for Big Data Value Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater
2022	A*	`conf`	To update or not to update? Neurons at equilibrium in deep models. NeurIPS Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
2022	J	`jnl`	To update or not to update? Neurons at equilibrium in deep models. CoRR Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
2022	B	`conf`	Towards Efficient Capsule Networks. ICIP Riccardo Renzulli, Marco Grangetto
2022	J	`jnl`	Towards Efficient Capsule Networks. CoRR Riccardo Renzulli, Marco Grangetto
2022	J	`jnl`	Unbiased Supervised Contrastive Learning. CoRR Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
2022	—	`conf`	UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. ICIAP (1) Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio
2022	J	`jnl`	Unsupervised Learning of Unbiased Visual Representations. CoRR Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
2021	J	`jnl`	A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. CoRR Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
2021	—	`conf`	Bridging the gap between debiasing and privacy for deep learning. ICCVW Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
2021	—	`conf`	Capsule Networks with Routing Annealing. ICANN (1) Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2021	—	`conf`	Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images. MICAD Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Luca Bertero, Marco Grangetto
2021	J	`jnl`	Dysplasia grading of colorectal polyps through CNN analysis of WSI. CoRR Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto
2021	A*	`conf`	EnD: Entangling and Disentangling Deep Representations for Bias Correction. CVPR Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
2021	J	`jnl`	EnD: Entangling and Disentangling deep representations for bias correction. CoRR Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
2021	J	`jnl`	HEMP: High-order Entropy Minimization for neural network comPression. CoRR Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
2021	J	`jnl`	HEMP: High-order entropy minimization for neural network compression. Neurocomputing Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
2021	J	`jnl`	Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks. ACM Trans. Model. Perform. Evaluation Comput. Syst. Rossano Gaeta, Marco Grangetto
2021	J	`jnl`	Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke. CoRR Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui
2021	B	`conf`	On the Role of Structured Pruning for Neural Network Compression. ICIP Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
2021	J	`jnl`	On the robustness of three classes of rateless codes against pollution attacks in P2P networks. Peer-to-Peer Netw. Appl. Rossano Gaeta, Marco Grangetto
2021	J	`jnl`	SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. CoRR Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
2021	J	`jnl`	UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading. CoRR Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
2021	B	`conf`	Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. ICIP Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
2020	B	`conf`	A non-discriminatory approach to ethical deep learning. TrustCom Enzo Tartaglione, Marco Grangetto
2020	J	`jnl`	A non-discriminatory approach to ethical deep learning. CoRR Enzo Tartaglione, Marco Grangetto
2020	B	`conf`	Delving in the loss landscape to embed robust watermarks into neural networks. ICPR Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta
2020	J	`jnl`	Graph Laplacian for image anomaly detection. Mach. Vis. Appl. Francesco Verdoja, Marco Grangetto
2020	J	`jnl`	LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. CoRR Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
2020	J	`jnl`	No-reference quality metric for HEVC compression distortion estimation in depth maps. Signal Image Video Process. Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2020	—	`conf`	Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. ICANN (2) Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
2020	J	`jnl`	Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima. CoRR Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
2020	—	`conf`	Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens. VISIGRAPP (4: VISAPP) Alessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza
2020	J	`jnl`	Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. CoRR Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
2019	C	`conf`	Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations. PDP Maurizio Drocco, Paolo Viviani, Iacopo Colonnelli, Marco Aldinucci, Marco Grangetto
2019	—	`conf`	Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera. ICIAP (1) Mirko Zaffaroni, Marco Grangetto, Alessandro Farasin
2019	—	`conf`	Post-synaptic Potential Regularization Has Potential. ICANN (2) Enzo Tartaglione, Daniele Perlo, Marco Grangetto
2019	J	`jnl`	Post-synaptic potential regularization has potential. CoRR Enzo Tartaglione, Daniele Perlo, Marco Grangetto
2019	J	`jnl`	Robust gait identification using Kinect dynamic skeleton data. Multim. Tools Appl. Elena Gianaria, Marco Grangetto
2019	J	`jnl`	Securing Network Coding Architectures Against Pollution Attacks With Band Codes. IEEE Trans. Inf. Forensics Secur. Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
2019	—	`conf`	Take a Ramble into Solution Spaces for Classification Problems in Neural Networks. ICIAP (1) Enzo Tartaglione, Marco Grangetto
2019	A*	`conf`	Virtual Hand Illusion: The Alien Finger Motion Experiment. VR Agata Marta Soccini, Marco Grangetto, Tetsunari Inamura, Sotaro Shimada
2018	J	`jnl`	Convolutional Neural Network for Intermediate View Enhancement in Multiview Streaming. IEEE Trans. Multim. Li Yu, Tammam Tillo, Jimin Xiao, Marco Grangetto
2018	J	`jnl`	DOST: a distributed object segmentation tool. Multim. Tools Appl. Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2018	B	`conf`	Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images. ICIP Joshua Levine, Marco Grangetto, Marilena Varrecchia, Gabriella Olmo
2018	J	`jnl`	Evaluating virtual image quality using the side-views information fusion and depth maps. Inf. Fusion Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2018	J	`jnl`	Graph-based Image Anomaly Detection. CoRR Francesco Verdoja, Marco Grangetto
2017	Misc	`conf`	Directional graph weight prediction for image compression. ICASSP Francesco Verdoja, Marco Grangetto
2017	Misc	`conf`	Efficient representation of segmentation contours using chain codes. ICASSP Francesco Verdoja, Marco Grangetto
2017	—	`conf`	Kinect-Based Gait Analysis for People Recognition Over Time. ICIAP (2) Elena Gianaria, Marco Grangetto, Nello Balossino
2017	A	`conf`	Perceptual quality assessment of 3D synthesized images. ICME Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2017	J	`jnl`	Securing Coding-Based Cloud Storage Against Pollution Attacks. IEEE Trans. Parallel Distributed Syst. Cosimo Anglano, Rossano Gaeta, Marco Grangetto
2017	—	`conf`	Semi-automatic Segmentation of Scattered and Distributed Objects. CORES Muhammad Shahid Farid, Maurizio Lucenteforte, Muhammad Hassan Khan, Marco Grangetto
2017	J	`jnl`	Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming. CoRR Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
2016	J	`jnl`	Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video Streaming. IEEE Trans. Multim. Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
2016	B	`conf`	Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions. ICIP Francesco Verdoja, Barbara Bonafè, Davide Cavagnino, Marco Grangetto, Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi
2016	J	`jnl`	Image de-fencing framework with hybrid inpainting algorithm. Signal Image Video Process. Muhammad Shahid Farid, Arif Mahmood, Marco Grangetto
2016	B	`conf`	Kinect-based gait analysis for automatic frailty syndrome assessment. ICIP Elena Gianaria, Marco Grangetto, Mattia Roppolo, Anna Mulasso, Emanuela Rabaglietti
2015	—	`conf`	Blind depth quality assessment using histogram shape analysis. 3DTV-Conference Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2015	B	`conf`	Device-to-Device Content Distribution in Cellular Networks: A User-Centric Collaborative Strategy. GLOBECOM Paolo Castagno, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2015	J	`jnl`	Exploiting Rateless Codes in Cloud Storage Systems. IEEE Trans. Parallel Distributed Syst. Cosimo Anglano, Rossano Gaeta, Marco Grangetto
2015	—	`conf`	Fast Superpixel-Based Hierarchical Approach to Image Segmentation. ICIAP (1) Francesco Verdoja, Marco Grangetto
2015	J	`jnl`	High capacity reversible data hiding and content protection for radiographic images. Signal Process. Davide Cavagnino, Maurizio Lucenteforte, Marco Grangetto
2015	B	`conf`	Objective quality metric for 3D virtual views. ICIP Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2015	J	`jnl`	Panorama View With Spatiotemporal Occlusion Compensation for 3D Video Coding. IEEE Trans. Image Process. Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2015	A	`conf`	Pollution-resilient peer-to-peer video streaming with Band Codes. ICME Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
2015	J	`jnl`	Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live Streaming. IEEE Trans. Multim. Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
2015	B	`conf`	Superpixel-driven graph transform for image compression. ICIP Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli
2014	B	`conf`	A panoramic 3D video coding with directional depth aided inpainting. ICIP Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2014	B	`conf`	Automatic method for tumor segmentation from 3-points dynamic PET acquisitions. ICIP Francesco Verdoja, Marco Grangetto, Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi
2014	J	`jnl`	Band Codes for Energy-Efficient Network Coding With Application to P2P Mobile Streaming. IEEE Trans. Multim. Attilio Fiandrotti, Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Enrico Magli
2014	J	`jnl`	DIP: Distributed Identification of Polluters in P2P Live Streaming. ACM Trans. Multim. Comput. Commun. Appl. Rossano Gaeta, Marco Grangetto, Lorenzo Bovio
2014	B	`conf`	Edge enhancement of depth based rendered images. ICIP Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2014	J	`jnl`	Exploiting Rateless Codes and Belief Propagation to Infer Identity of Polluters in MANET. IEEE Trans. Mob. Comput. Rossano Gaeta, Marco Grangetto, Riccardo Loti
2014	—	`conf`	Human Classification Using Gait Features. BIOMET Elena Gianaria, Marco Grangetto, Maurizio Lucenteforte, Nello Balossino
2014	J	`jnl`	Rateless Codes and Random Walksfor P2P Resource Discovery in Grids. IEEE Trans. Parallel Distributed Syst. Valerio Bioglio, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2013	J	`jnl`	A practical Random Network Coding scheme for data distribution on peer-to-peer networks using rateless codes. Perform. Evaluation Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Matteo Sereno
2013	J	`jnl`	Band Codes for Energy-Efficient Network Coding with Application to P2P Mobile Streaming. CoRR Attilio Fiandrotti, Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Enrico Magli
2013	C	`conf`	Depth image based rendering with inverse mapping. MMSP Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2013	C	`conf`	Edges shape enforcement for visual enhancement of depth image based rendering. MMSP Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
2013	C	`conf`	Gait characterization using dynamic skeleton acquisition. MMSP Elena Gianaria, Nello Balossino, Marco Grangetto, Maurizio Lucenteforte
2013	J	`jnl`	Identification of Malicious Nodes in Peer-to-Peer Streaming: A Belief Propagation-Based Technique. IEEE Trans. Parallel Distributed Syst. Rossano Gaeta, Marco Grangetto
2012	—	`conf`	A novel interpolation method for 3D view synthesis. 3DTV-Conference Vincenzo Paradiso, Maurizio Lucenteforte, Marco Grangetto
2012	J	`jnl`	A study of an hybrid CDN-P2P system over the PlanetLab network. Signal Process. Image Commun. Enrico Baccaglini, Marco Grangetto, Emanuele Quacchio, Simone Zezza
2012	C	`conf`	An HTML5 player for a gstreamer based MPEG DASH client. VCIP Emanuele Quacchio, G. Bruno, Marco Grangetto
2012	C	`conf`	An adaptive hybrid CDN/P2P solution for Content Delivery Networks. VCIP Francesco Bronzino, Rossano Gaeta, Marco Grangetto, Giovanni Pau
2012	A	`conf`	Band Codes: Controlled Complexity Network Coding for Peer-to-Peer Video Streaming. ICME Attilio Fiandrotti, Valerio Bioglio, Enrico Magli, Marco Grangetto, Rossano Gaeta
2012	—	`conf`	Collaborative data retrieval using opportunistic networking. WONS Giuseppe Corrente, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2012	B	`conf`	SIEVE: A Distributed, Accurate, and Robust Technique to Identify Malicious Nodes in Data Dissemination on MANET. ICPADS Rossano Gaeta, Marco Grangetto, Riccardo Loti
2011	J	`jnl`	A game theory framework for ISP streaming traffic management. Perform. Evaluation Valerio Bioglio, Rossano Gaeta, Marco Grangetto, Matteo Sereno, Salvatore Spoto
2011	B	`conf`	An optimal partial decoding algorithm for rateless codes. ISIT Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Matteo Sereno
2011	—	`conf`	ENIGMA: Distributed Virtual Disks for Cloud Computing. IPDPS Workshops Matteo Zola, Valerio Bioglio, Cosimo Anglano, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2011	—	`conf`	Local data gathering using opportunistic networking in a urban scenario. PE-WASUN Giuseppe Corrente, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2011	A	`conf`	Tile format: A novel frame compatible approach for 3D video broadcasting. ICME Giovanni Ballocca, Paolo D'Amato, Marco Grangetto, Maurizio Lucenteforte
2011	J	`jnl`	Transparent encryption techniques for H.264/AVC and H.264/SVC compressed video. Signal Process. Enrico Magli, Marco Grangetto, Gabriella Olmo
2010	—	`conf`	BitTorrent and fountain codes: friends or foes? IPDPS Workshops Salvatore Spoto, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2010	B	`conf`	Distributed joint source-channel arithmetic coding. ICIP Marco Grangetto, Enrico Magli, Gabriella Olmo
2010	B	`conf`	Fountains vs Torrents: The P2P ToroVerde Protocol. MASCOTS Andrea Magnetto, Salvatore Spoto, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2010	—	`conf`	Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing. Peer-to-Peer Computing Rossano Gaeta, Marco Grangetto, Matteo Sereno
2010	—	`conf`	P2P streaming with lt codes: a prototype experimentation. AVSTP2P@MM Andrea Magnetto, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2010	—	`conf`	Security applications of distributed arithmetic coding. EUSIPCO Marco Grangetto, Enrico Magli, Gabriella Olmo
2010	J	`jnl`	Sliding-Window Raptor Codes for Efficient Scalable Wireless Video Broadcasting With Unequal Loss Protection. IEEE Trans. Image Process. Pasquale Cataldi, Marco Grangetto, Tammam Tillo, Enrico Magli, Gabriella Olmo
2010	J	`jnl`	TURINstream: A Totally pUsh, Robust, and effIcieNt P2P Video Streaming Architecture. IEEE Trans. Multim. Andrea Magnetto, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2009	—	`conf`	A technique for blood detection in wireless capsule endoscopy images. EUSIPCO Barbara Penna, Tammam Tillo, Marco Grangetto, Enrico Magli, Gabriella Olmo
2009	A	`conf`	Analysis of PPLive through active and passive measurements. IPDPS Salvatore Spoto, Rossano Gaeta, Marco Grangetto, Matteo Sereno
2009	J	`jnl`	Distributed arithmetic coding for the Slepian-Wolf problem. IEEE Trans. Signal Process. Marco Grangetto, Enrico Magli, Gabriella Olmo
2009	J	`jnl`	On the fly gaussian elimination for LT codes. IEEE Commun. Lett. Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Matteo Sereno
2009	A	`conf`	Rateless codes network coding for simple and efficient P2P video streaming. ICME Marco Grangetto, Rossano Gaeta, Matteo Sereno
2009	A	`conf`	Seacast: A protocol for peer-to-peer video streaming supporting multiple description coding. ICME Simone Zezza, Enrico Magli, Gabriella Olmo, Marco Grangetto
2008	B	`conf`	Decoder-driven adaptive distributed arithmetic coding. ICIP Marco Grangetto, Enrico Magli, Gabriella Olmo
2008	J	`jnl`	Rate-compatible distributed arithmetic coding. IEEE Commun. Lett. Marco Grangetto, Enrico Magli, Roberto Tron, Gabriella Olmo
2008	J	`jnl`	Redundant Slice Optimal Allocation for H.264 Multiple Description Coding. IEEE Trans. Circuits Syst. Video Technol. Tammam Tillo, Marco Grangetto, Gabriella Olmo
2007	—	`conf`	Conditional Access to H.264/AVC Video by Means of Redundant Slices. ICIP (6) Marco Grangetto, Enrico Magli, Gabriella Olmo
2007	J	`jnl`	Distributed Arithmetic Coding for the Asymmetric Slepian-Wolf problem CoRR Marco Grangetto, Enrico Magli, Gabriella Olmo
2007	J	`jnl`	Distributed Arithmetic Coding. IEEE Commun. Lett. Marco Grangetto, Enrico Magli, Gabriella Olmo
2007	J	`jnl`	Distributed Source Coding Techniques for Lossless Compression of Hyperspectral Images. EURASIP J. Adv. Signal Process. Enrico Magli, Mauro Barni, Andrea Abrardo, Marco Grangetto
2007	—	`conf`	H.264 Multiple Description Coding Based on Redundant Picture Representation. ICIP (4) Tammam Tillo, Marco Grangetto, Gabriella Olmo
2007	J	`jnl`	Iterative Decoding of Serially Concatenated Arithmetic and Channel Codes With JPEG 2000 Applications. IEEE Trans. Image Process. Marco Grangetto, Bartolo Scanavino, Gabriella Olmo, Sergio Benedetto
2007	J	`jnl`	Joint Source, Channel Coding, and Secrecy. EURASIP J. Inf. Secur. Enrico Magli, Marco Grangetto, Gabriella Olmo
2007	J	`jnl`	Multiple Description Image Coding Based on Lagrangian Rate Allocation. IEEE Trans. Image Process. Tammam Tillo, Marco Grangetto, Gabriella Olmo
2007	J	`jnl`	On Modeling Mismatch Errors Induced by Different Quantizers. IEEE Signal Process. Lett. Tammam Tillo, Marco Grangetto, Gabriella Olmo
2007	C	`conf`	Sliding-Window Digital Fountain Codes for Streaming of Multimedia Contents. ISCAS Mattia C. O. Bogino, Pasquale Cataldi, Marco Grangetto, Enrico Magli, Gabriella Olmo
2007	C	`conf`	Symmetric Distributed Arithmetic Coding of Correlated Sources. MMSP Marco Grangetto, Enrico Magli, Gabriella Olmo
2006	J	`jnl`	A syntax-preserving error resilience tool for JPEG 2000 based on error correcting arithmetic coding. IEEE Trans. Image Process. Marco Grangetto, Enrico Magli, Gabriella Olmo
2006	A	`conf`	Conditional Access to H.264/AVC Video with Drift Control. ICME Enrico Magli, Marco Grangetto, Gabriella Olmo
2006	—	`conf`	Error correcting arithmetic coding for JPEG 2000: memory and performance analysis. MobiMedia Simone Zezza, Marco Grangetto, Maurizio Martina, Fabrizio Vacca, Guido Masera
2006	—	`conf`	Implementation and Performance Evaluation of LT and Raptor Codes for Multimedia Applications. IIH-MSP Pasquale Cataldi, Miquel Pedros Shatarski, Marco Grangetto, Enrico Magli
2006	J	`jnl`	Multimedia Selective Encryption by Means of Randomized Arithmetic Coding. IEEE Trans. Multim. Marco Grangetto, Enrico Magli, Gabriella Olmo
2006	—	`conf`	Near-lossless distributed coding of hyperspectral images using a statistical model for probability estimation. EUSIPCO Marco Grangetto, Enrico Magli, Gabriella Olmo
2006	A	`conf`	Scalable Image Retrieval from Distributed Images Database. ICME Tammam Tillo, Marco Grangetto, Gabriella Olmo
2005	J	`jnl`	Concealment of whole-frame losses for wireless low bit-rate video based on multiframe optical flow estimation. IEEE Trans. Multim. Stefano Belfiore, Marco Grangetto, Enrico Magli, Gabriella Olmo
2005	C	`conf`	Context-Based Distributed Wavelet Video Coding. MMSP Marco Grangetto, Enrico Magli, Gabriella Olmo
2005	J	`jnl`	Fast code-rate optimization for robust image transmission over lossy packet networks. IEEE Trans. Commun. Marco Grangetto, Enrico Magli, Gabriella Olmo
2005	—	`conf`	Improved low-complexity intraband lossless compression of hyperspectral images by means of Slepian-Wolf coding. ICIP (1) Antonello Nonnis, Marco Grangetto, Enrico Magli, Gabriella Olmo, Mauro Barni
2005	J	`jnl`	Joint source/channel coding and MAP decoding of arithmetic codes. IEEE Trans. Commun. Marco Grangetto, Pamela C. Cosman, Gabriella Olmo
2004	C	`conf`	A flexible error resilient scheme for JPEG 2000. MMSP Tammam Tillo, Marco Grangetto, Gabriella Olmo
2004	J	`jnl`	Ensuring quality of service for image transmission: hybrid loss protection. IEEE Trans. Image Process. Marco Grangetto, Enrico Magli, Gabriella Olmo
2004	B	`conf`	Error resilient mq coder and map jpeg 2000 decoding. ICIP Marco Grangetto, Enrico Magli, Gabriella Olmo
2004	C	`conf`	Joint despeckling and edge detection of SAR images based on the Mumford-Shah functional. IGARSS Stefano Belfiore, Riccardo Scopigno, Marco Grangetto, Enrico Magli
2004	—	`conf`	Joint source-channel iterative decoding of codes. ICC Marco Grangetto, Bartolo Scanavino, Gabriella Olmo
2004	B	`conf`	Multiple description coding with error correction capabilities: an application to motion jpeg 2000. ICIP Tammam Tillo, Marco Grangetto, Gabriella Olmo
2004	A	`conf`	Reliable JPEG 2000 wireless imaging by means of error-correcting MQ coder. ICME Marco Grangetto, Enrico Magli, Gabriella Olmo
2004	—	`conf`	Retransmission strategies for optimized JPEG 2000 image transmission in wireless environment. EUSIPCO Marco Grangetto, Enrico Magli, Gabriella Olmo
2004	C	`conf`	Selective encryption of JPEG 2000 images by means of randomized arithmetic coding. MMSP Marco Grangetto, Alberto Grosso, Enrico Magli
2003	—	`conf`	An error concealment algorithm for streaming video. ICIP (3) Stefano Belfiore, Marco Grangetto, Enrico Magli, Gabriella Olmo
2003	A	`conf`	Comparison of rate allocation strategies for H.264 video transmission over wireless lossy correlated networks. ICME Stefano Gnavi, Marco Grangetto, Enrico Magli, Gabriella Olmo
2003	—	`conf`	Error correction by means of arithmetic codes: an application to resilient image transmission. ICASSP (4) Marco Grangetto, Gabriella Olmo, Pamela C. Cosman
2003	J	`jnl`	Error sensitivity data structures and retransmission strategies for robust JPEG 2000 wireless imaging. IEEE Trans. Consumer Electron. Marco Grangetto, Enrico Magli, Gabriella Olmo
2003	—	`conf`	Few decoders in the encoder: a low complexity encoding strategy for H.26L. ICASSP (3) Gabriella Olmo, Cristiano Cucco, Marco Grangetto, Enrico Magli
2003	J	`jnl`	Robust video transmission over error-prone channels via error correcting arithmetic codes. IEEE Commun. Lett. Marco Grangetto, Enrico Magli, Gabriella Olmo
2003	—	`conf`	Spatio-temporal video error concealment with perceptually optimized mode selection. ICASSP (5) Stefano Belfiore, Marco Grangetto, Enrico Magli, Gabriella Olmo
2003	A	`conf`	Spatio-temporal video error concealment with perceptually optimized mode selection. ICME Stefano Belfiore, Marco Grangetto, Enrico Magli, Gabriella Olmo
2003	J	`jnl`	Spatiotemporal error concealment with optimized mode selection and application to H.264. Signal Process. Image Commun. Stefano Belfiore, Marco Grangetto, Enrico Magli, Gabriella Olmo
2002	C	`conf`	An edge and texture preserving algorithm for video error concealment. IEEE Workshop on Multimedia Signal Processing Stefano Belfiore, Marco Grangetto, Enrico Magli, Gabriella Olmo
2002	Misc	`conf`	DSP performance comparison between lifting and filter banks for image coding. ICASSP Stefano Gnavi, Barbara Penna, Marco Grangetto, Enrico Magli, Gabriella Olmo
2002	—	`conf`	Guaranteeing quality of service for image transmission by means of hybrid loss protection. ICME (2) Marco Grangetto, Enrico Magli, Mauro Marzo, Gabriella Olmo
2002	J	`jnl`	Optimization and implementation of the integer wavelet transform for image coding. IEEE Trans. Image Process. Marco Grangetto, Enrico Magli, Maurizio Martina, Gabriella Olmo
2002	Misc	`conf`	Robust and edge-preserving video error concealment by coarse-to-fine block replenishment. ICASSP Stefano Belfiore, L. Crisa, Marco Grangetto, Enrico Magli, Gabriella Olmo
2002	J	`jnl`	Wavelet Kernels on a DSP: A Comparison between Lifting and Filter Banks for Image Coding. EURASIP J. Adv. Signal Process. Stefano Gnavi, Barbara Penna, Marco Grangetto, Enrico Magli, Gabriella Olmo
2001	J	`jnl`	Efficient common-core lossless and lossy image coder based on integer wavelets. Signal Process. Marco Grangetto, Enrico Magli, Gabriella Olmo
2001	—	`conf`	Unequal processing gain for JPEG2000 image transmission in a CDMA environment. ICECS Marco Grangetto, Enrico Magli, Gabriella Olmo
2000	B	`conf`	Finite Precision Wavelets for Image Coding: Lossy and Lossless Compression Performance Evaluation. ICIP Marco Grangetto, Enrico Magli, Gabriella Olmo
2000	—	`conf`	Joint denoising and lossless/lossy compression of SAR images. EUSIPCO Marco Grangetto, Enrico Magli, Gabriella Olmo
2000	Misc	`conf`	Minimally non-linear integer wavelets for image coding. ICASSP Marco Grangetto, Enrico Magli, Gabriella Olmo