Marco Grangetto

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 82

Top Venues

Publications

Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. CoRR (2024)
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
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. CoRR (2024)
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering. CoRR (2024)
Desislav Nikolaev Ivanov, Carlo Alberto Barbano, Marco Grangetto
Multi-target stain normalization for histology slides. CoRR (2024)
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
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24 (5) (2024)
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
Domain Adaptation for Learned Image Compression with Supervised Adapters. DCC (2024)
Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto
AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation. CoRR (2024)
Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
Domain Adaptation for Learned Image Compression with Supervised Adapters. CoRR (2024)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI (2023)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. ICLR (2023)
Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. ICCV (Workshops) (2023)
Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto
A Differentiable Entropy Model for Learned Image Compression. ICIAP (1) (2023)
Andrea Bragagnolo, Enzo Tartaglione, Gianluca Dalmasso, Marco Grangetto
A round-trip journey in pruned artificial neural networks. Ital-IA (2023)
Enzo Tartaglione, Francesca Gennari, Victor Quétu, Marco Grangetto
Disentangling private classes through regularization. Neurocomputing 554 (2023)
Francesco Di Sario, Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble. ICIAP (2) (2023)
Carlo Alberto Barbano, Marco Beccuti, Francesca Cordero, Desislav Nikolaev Ivanov, Nicola Licheri, Simone Pernice, Alberto Presta, Riccardo Renzulli, Marco Grangetto
Artificial intelligence methods for biomedical imaging and omics data. Ital-IA (2023)
Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. Frontiers Neuroinformatics 17 (2023)
Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA (2023)
Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto
Deep Regression by Feature Regularization for COVID-19 Severity Prediction. ICIAP Workshops (2022)
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images. ICIAP (1) (2022)
Enzo Tartaglione, Francesca Gennari, Marco Grangetto
Disentangling private classes through regularization. CoRR (2022)
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Unsupervised Learning of Unbiased Visual Representations. CoRR (2022)
Riccardo Renzulli, Marco Grangetto
Towards Efficient Capsule Networks. CoRR (2022)
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
To update or not to update? Neurons at equilibrium in deep models. NeurIPS (2022)
Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
To update or not to update? Neurons at equilibrium in deep models. CoRR (2022)
Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto
REM: Routing Entropy Minimization for Capsule Networks. CoRR (2022)
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Unbiased Supervised Contrastive Learning. CoRR (2022)
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks 146 (2022)
Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Giorgio Limerutti, Attilio Fiandrotti, Marco Grangetto, Paolo Fonio
UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. ICIAP (1) (2022)
Riccardo Renzulli, Marco Grangetto
Towards Efficient Capsule Networks. ICIP (2022)
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
Contrastive learning for regression in multi-site brain age prediction. CoRR (2022)
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
HEMP: High-order Entropy Minimization for neural network comPression. CoRR (2021)
Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto
HEMP: High-order entropy minimization for neural network compression. Neurocomputing 461 (2021)
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading. CoRR (2021)
Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto
Bridging the gap between debiasing and privacy for deep learning. ICCVW (2021)
Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. ICIP (2021)
Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Mauro Bergui
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke. CoRR (2021)
Daniele Perlo, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto
Dysplasia grading of colorectal polyps through CNN analysis of WSI. CoRR (2021)
Rossano Gaeta, Marco Grangetto
Malicious Node Identification in Coded Distributed Storage Systems under Pollution Attacks. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6 (3) (2021)
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. CoRR (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
EnD: Entangling and Disentangling Deep Representations for Bias Correction. CVPR (2021)
Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto
EnD: Entangling and Disentangling deep representations for bias correction. CoRR (2021)
Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Luca Bertero, Marco Grangetto
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images. MICAD (2021)
Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
On the Role of Structured Pruning for Neural Network Compression. ICIP (2021)
Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto
Capsule Networks with Routing Annealing. ICANN (1) (2021)
Rossano Gaeta, Marco Grangetto
On the robustness of three classes of rateless codes against pollution attacks in P2P networks. Peer-to-Peer Netw. Appl. 14 (6) (2021)
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. CoRR (2021)
Enzo Tartaglione, Marco Grangetto, Davide Cavagnino, Marco Botta
Delving in the loss landscape to embed robust watermarks into neural networks. ICPR (2020)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
No-reference quality metric for HEVC compression distortion estimation in depth maps. Signal Image Video Process. 14 (1) (2020)
Enzo Tartaglione, Marco Grangetto
A non-discriminatory approach to ethical deep learning. TrustCom (2020)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima. CoRR (2020)
Enzo Tartaglione, Marco Grangetto
A non-discriminatory approach to ethical deep learning. CoRR (2020)
Francesco Verdoja, Marco Grangetto
Graph Laplacian for image anomaly detection. Mach. Vis. Appl. 31 (1-2) (2020)
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima. ICANN (2) (2020)
Alessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza
Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens. VISIGRAPP (4: VISAPP) (2020)
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. CoRR (2020)
Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. CoRR (2020)
Agata Marta Soccini, Marco Grangetto, Tetsunari Inamura, Sotaro Shimada
Virtual Hand Illusion: The Alien Finger Motion Experiment. VR (2019)
Elena Gianaria, Marco Grangetto
Robust gait identification using Kinect dynamic skeleton data. Multim. Tools Appl. 78 (10) (2019)
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
Post-synaptic potential regularization has potential. CoRR (2019)
Enzo Tartaglione, Marco Grangetto
Take a Ramble into Solution Spaces for Classification Problems in Neural Networks. ICIAP (1) (2019)
Mirko Zaffaroni, Marco Grangetto, Alessandro Farasin
Estimation of Speed and Distance of Surrounding Vehicles from a Single Camera. ICIAP (1) (2019)
Enzo Tartaglione, Daniele Perlo, Marco Grangetto
Post-synaptic Potential Regularization Has Potential. ICANN (2) (2019)
Maurizio Drocco, Paolo Viviani, Iacopo Colonnelli, Marco Aldinucci, Marco Grangetto
Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations. PDP (2019)
Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
Securing Network Coding Architectures Against Pollution Attacks With Band Codes. IEEE Trans. Inf. Forensics Secur. 14 (3) (2019)
Li Yu, Tammam Tillo, Jimin Xiao, Marco Grangetto
Convolutional Neural Network for Intermediate View Enhancement in Multiview Streaming. IEEE Trans. Multim. 20 (1) (2018)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
Evaluating virtual image quality using the side-views information fusion and depth maps. Inf. Fusion 43 (2018)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
DOST: a distributed object segmentation tool. Multim. Tools Appl. 77 (16) (2018)
Francesco Verdoja, Marco Grangetto
Graph-based Image Anomaly Detection. CoRR (2018)
Joshua Levine, Marco Grangetto, Marilena Varrecchia, Gabriella Olmo
Detection and Tracking of Astral Microtubules in Fluorescence Microscopy Images. ICIP (2018)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
Perceptual quality assessment of 3D synthesized images. ICME (2017)
Francesco Verdoja, Marco Grangetto
Efficient representation of segmentation contours using chain codes. ICASSP (2017)
Elena Gianaria, Marco Grangetto, Nello Balossino
Kinect-Based Gait Analysis for People Recognition Over Time. ICIAP (2) (2017)
Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming. CoRR (2017)
Francesco Verdoja, Marco Grangetto
Directional graph weight prediction for image compression. ICASSP (2017)
Cosimo Anglano, Rossano Gaeta, Marco Grangetto
Securing Coding-Based Cloud Storage Against Pollution Attacks. IEEE Trans. Parallel Distributed Syst. 28 (5) (2017)
Muhammad Shahid Farid, Maurizio Lucenteforte, Muhammad Hassan Khan, Marco Grangetto
Semi-automatic Segmentation of Scattered and Distributed Objects. CORES (2017)
Muhammad Shahid Farid, Arif Mahmood, Marco Grangetto
Image de-fencing framework with hybrid inpainting algorithm. Signal Image Video Process. 10 (7) (2016)
Elena Gianaria, Marco Grangetto, Mattia Roppolo, Anna Mulasso, Emanuela Rabaglietti
Kinect-based gait analysis for automatic frailty syndrome assessment. ICIP (2016)
Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video Streaming. IEEE Trans. Multim. 18 (6) (2016)
Francesco Verdoja, Barbara Bonafè, Davide Cavagnino, Marco Grangetto, Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi
Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions. ICIP (2016)
Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
Pollution-resilient peer-to-peer video streaming with Band Codes. ICME (2015)
Francesco Verdoja, Marco Grangetto
Fast Superpixel-Based Hierarchical Approach to Image Segmentation. ICIAP (1) (2015)
Davide Cavagnino, Maurizio Lucenteforte, Marco Grangetto
High capacity reversible data hiding and content protection for radiographic images. Signal Process. 117 (2015)
Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto
Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live Streaming. IEEE Trans. Multim. 17 (4) (2015)
Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli
Superpixel-driven graph transform for image compression. ICIP (2015)
Cosimo Anglano, Rossano Gaeta, Marco Grangetto
Exploiting Rateless Codes in Cloud Storage Systems. IEEE Trans. Parallel Distributed Syst. 26 (5) (2015)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
Objective quality metric for 3D virtual views. ICIP (2015)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
Blind depth quality assessment using histogram shape analysis. 3DTV-Conference (2015)
Paolo Castagno, Rossano Gaeta, Marco Grangetto, Matteo Sereno
Device-to-Device Content Distribution in Cellular Networks: A User-Centric Collaborative Strategy. GLOBECOM (2015)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
Panorama View With Spatiotemporal Occlusion Compensation for 3D Video Coding. IEEE Trans. Image Process. 24 (1) (2015)
Elena Gianaria, Marco Grangetto, Maurizio Lucenteforte, Nello Balossino
Human Classification Using Gait Features. BIOMET (2014)
Valerio Bioglio, Rossano Gaeta, Marco Grangetto, Matteo Sereno
Rateless Codes and Random Walksfor P2P Resource Discovery in Grids. IEEE Trans. Parallel Distributed Syst. 25 (4) (2014)
Rossano Gaeta, Marco Grangetto, Riccardo Loti
Exploiting Rateless Codes and Belief Propagation to Infer Identity of Polluters in MANET. IEEE Trans. Mob. Comput. 13 (7) (2014)
Francesco Verdoja, Marco Grangetto, Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi
Automatic method for tumor segmentation from 3-points dynamic PET acquisitions. ICIP (2014)
Rossano Gaeta, Marco Grangetto, Lorenzo Bovio
DIP: Distributed Identification of Polluters in P2P Live Streaming. ACM Trans. Multim. Comput. Commun. Appl. 10 (3) (2014)
Attilio Fiandrotti, Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Enrico Magli
Band Codes for Energy-Efficient Network Coding With Application to P2P Mobile Streaming. IEEE Trans. Multim. 16 (2) (2014)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
A panoramic 3D video coding with directional depth aided inpainting. ICIP (2014)
Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto
Edge enhancement of depth based rendered images. ICIP (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Grangetto