A graphical installation system for the GNU/Linux Debian distribution. - Attilio Fiandrotti; Pierluigi Di Nunzio; Federico Di Gregorio; Angelo Raffaele Meo (OSS, 2006)

High-Performance H.264/SVC Video Communications in 802.11e Ad Hoc Networks. - Attilio Fiandrotti; Dario Gallucci; Enrico Masala; Juan Carlos De Martin (FITraMEn, 2008)

Traffic Prioritization of H.264/SVC Video over 802.11e Ad Hoc Wireless Networks. - Attilio Fiandrotti; Dario Gallucci; Enrico Masala; Enrico Magli (ICCCN, 2008)

Content-Adaptive Robust H.264/SVC Video Communications over 802.11e Networks. - Dario Gallucci; Attilio Fiandrotti; Enrico Masala; Juan Carlos De Martin (AINA, 2009)

Popularity-aware rate allocation in multiview video. - Attilio Fiandrotti; Jacob Chakareski; Pascal Frossard (VCIP, 2010)

Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks. - Attilio Fiandrotti; Dario Gallucci; Enrico Masala; Juan Carlos De Martin (Signal Process. Image Commun., 2010)

Complexity-adaptive Random Network Coding for Peer-to-Peer video streaming. - Attilio Fiandrotti; Simone Zezza; Enrico Magli (MMSP, 2011)

Towards a P2P videoconferencing system based on low-delay network coding. - Attilio Fiandrotti; Anooq Muzaffar Sheikh; Enrico Magli (EUSIPCO, 2012)

Band Codes: Controlled Complexity Network Coding for Peer-to-Peer Video Streaming. - Attilio Fiandrotti; Valerio Bioglio; Enrico Magli; Marco Grangetto; Rossano Gaeta (ICME, 2012)

Distributed scheduling for P2P IPTV with low-delay network coding. - Anooq Muzaffar Sheikh; Attilio Fiandrotti; Enrico Magli (BMSB, 2013)

Feedback-driven network coding for cooperative video streaming. - Attilio Fiandrotti; Valerio Bioglio; Enrico Magli (ICASSP, 2013)

Distributed media-aware scheduling for P2P streaming with Network Coding. - Anooq Muzaffar Sheikh; Attilio Fiandrotti; Enrico Magli (ICASSP, 2013)

Distributed scheduling for scalable P2P video streaming with Network Coding. - Anooq Muzaffar Sheikh; Attilio Fiandrotti; Enrico Magli (INFOCOM Workshops, 2013)

PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. - Attilio Fiandrotti; Sophie M. Fosson; Chiara Ravazzi; Enrico Magli (PCS, 2013)

Shot-based object retrieval from video with compressed Fisher Vectors. - Luca Bertinetto; Attilio Fiandrotti; Enrico Magli (EUSIPCO, 2014)

Demonstrating the new compact descriptors for visual search (CDVS) standard for image retrieval on mobile devices. - Giovanni Ballocca; Attilio Fiandrotti; Marco Gavelli; Massimo Mattelliano; Michele Morello; Alessandra Mosca; Paolo Vergori (ICIP, 2014)

Band Codes for Energy-Efficient Network Coding With Application to P2P Mobile Streaming. - Attilio Fiandrotti; Valerio Bioglio; Marco Grangetto; Rossano Gaeta; Enrico Magli (IEEE Trans. Multim., 2014)

Distributed Scheduling for Low-Delay and Loss-Resilient Media Streaming With Network Coding. - Anooq Muzaffar Sheikh; Attilio Fiandrotti; Enrico Magli (IEEE Trans. Multim., 2014)

Pollution-resilient peer-to-peer video streaming with Band Codes. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (ICME, 2015)

Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding-Based Peer-to-Peer Live Streaming. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (IEEE Trans. Multim., 2015)

Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video Streaming. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (IEEE Trans. Multim., 2016)

Automatic license plate recognition with convolutional neural networks trained on synthetic data. - Tomas Björklund; Attilio Fiandrotti; Mauro Annarumma; Gianluca Francini; Enrico Magli (MMSP, 2017)

Fine-grained vehicle classificationusing deep residual networks with multiscale attention windows. - Sina Ghassemi; Attilio Fiandrotti; Enrico Magli; Gianluca Francini (MMSP, 2017)

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. - Attilio Fiandrotti; Sophie M. Fosson; Chiara Ravazzi; Enrico Magli (CoRR, 2017)

Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications. - Sina Ghassemi; Constantin Sandu; Attilio Fiandrotti; Fabio Giulio Tonolo; Piero Boccardo; Gianluca Francini; Enrico Magli (EUSIPCO, 2018)

Feature Fusion for Robust Patch Matching with Compact Binary Descriptors. - Andrea Migliorati; Attilio Fiandrotti; Gianluca Francini; Skjalg Lepsøy; Riccardo Leonardi (MMSP, 2018)

Learning sparse neural networks via sensitivity-driven regularization. - Enzo Tartaglione; Skjalg Lepsøy; Attilio Fiandrotti; Gianluca Francini (NeurIPS, 2018)

CDVSec: Privacy-preserving biometrical user authentication in the cloud with CDVS descriptors. - Attilio Fiandrotti; Massimo Mattelliano; Enrico Baccaglini; Paolo Vergori (Pattern Recognit. Lett., 2018)

Cockpit Video Coding with Temporal Prediction. - Iulia Mitrica; Attilio Fiandrotti; Marco Cagnazzo; Eric Mercier; Christophe Ruellan (EUVIP, 2019)

A Hybrid Approach to Wide Baseline View Synthesis with Convolutional Neural Networks. - Nour Hobloss; Andrei I. Purica; Attilio Fiandrotti; Marco Cagnazzo; Rémi Cozot; Wassim Hamidouche (IC3D, 2019)

Enhancing HEVC Spatial Prediction by Context-based Learning. - Li Wang; Attilio Fiandrotti; Andrei I. Purica; Giuseppe Valenzise; Marco Cagnazzo (ICASSP, 2019)

Exploiting View Synthesis for Super-multiview Video Compression. - Pavel Nikitin; Marco Cagnazzo; Joël Jung; Attilio Fiandrotti (ICDSC, 2019)

Online Learning for Robust Adaptive Video Streaming in Mobile Networks. - Theodoros Karagkioules; Georgios S. Paschos; Nikolaos Liakopoulos; Attilio Fiandrotti; Dimitrios Tsilimantos; Marco Cagnazzo (CoRR, 2019)

Robust license plate recognition using neural networks trained on synthetic images. - Tomas Björklund; Attilio Fiandrotti; Mauro Annarumma; Gianluca Francini; Enrico Magli (Pattern Recognit., 2019)

Vehicle joint make and model recognition with multiscale attention windows. - Sina Ghassemi; Attilio Fiandrotti; Emanuele Caimotti; Gianluca Francini; Enrico Magli (Signal Process. Image Commun., 2019)

Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets. - Sina Ghassemi; Attilio Fiandrotti; Gianluca Francini; Enrico Magli (IEEE Trans. Geosci. Remote. Sens., 2019)

Securing Network Coding Architectures Against Pollution Attacks With Band Codes. - Attilio Fiandrotti; Rossano Gaeta; Marco Grangetto (IEEE Trans. Inf. Forensics Secur., 2019)

Very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content. - Iulia Mitrica; Eric Mercier; Christophe Ruellan; Attilio Fiandrotti; Marco Cagnazzo; Béatrice Pesquet-Popescu (IEEE Trans. Multim., 2019)

DR2S: Deep Regression with Region Selection for Camera Quality Evaluation. - Marcelin Tworski; Stéphane Lathuilière; Salim Belkarfa; Attilio Fiandrotti; Marco Cagnazzo (ICPR, 2020)

Capsule Networks with Routing Annealing. - Riccardo Renzulli; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (ICANN (1), 2021)

Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. - Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Attilio Fiandrotti; Luca Bertero; Paola Cassoni; Marco Grangetto (ICIP, 2021)

On the Role of Structured Pruning for Neural Network Compression. - Andrea Bragagnolo; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (ICIP, 2021)

HEMP: High-order entropy minimization for neural network compression. - Enzo Tartaglione; Stéphane Lathuilière; Attilio Fiandrotti; Marco Cagnazzo; Marco Grangetto (Neurocomputing, 2021)

Hybrid dual stream blender for wide baseline view synthesis. - Nour Hobloss; Lu Zhang 037; Stéphane Lathuilière; Marco Cagnazzo; Attilio Fiandrotti (Signal Process. Image Commun., 2021)

Learnable Descriptors for Visual Search. - Andrea Migliorati; Attilio Fiandrotti; Gianluca Francini; Riccardo Leonardi (IEEE Trans. Image Process., 2021)

UNITOPATHO. - Luca Bertero; Carlo Alberto Barbano; Daniele Perlo; Enzo Tartaglione; Paola Cassoni; Marco Grangetto; Attilio Fiandrotti; Alessandro Gambella; Luca Cavallo (IEEE DataPort, 2021)

DelBERTo: A Deep Lightweight Transformer for Sentiment Analysis. - Luca Molinaro; Rosalia Tatano; Enrico Busto; Attilio Fiandrotti; Valerio Basile; Viviana Patti (AI*IA, 2022)

Lung Nodules Segmentation with DeepHealth Toolkit. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Attilio Fiandrotti; Maurizio Lucenteforte; Davide Cavagnino (ICIAP Workshops (1), 2022)

UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Giorgio Limerutti; Attilio Fiandrotti; Marco Grangetto; Paolo Fonio (ICIAP (1), 2022)

Deep Regression by Feature Regularization for COVID-19 Severity Prediction. - Davide Tricarico; Hafiza Ayesha Hoor Chaudhry; Attilio Fiandrotti; Marco Grangetto (ICIAP Workshops, 2022)

Lung nodules segmentation from CT with DeepHealth toolkit. - Hafiza Ayesha Hoor Chaudhry; Riccardo Renzulli; Daniele Perlo; Francesca Santinelli; Stefano Tibaldi; Carmen Cristiano; Marco Grosso; Attilio Fiandrotti; Maurizio Lucenteforte; Davide Cavagnino (CoRR, 2022)

LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. - Enzo Tartaglione; Andrea Bragagnolo; Attilio Fiandrotti; Marco Grangetto (Neural Networks, 2022)

SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. - Enzo Tartaglione; Andrea Bragagnolo; Francesco Odierna; Attilio Fiandrotti; Marco Grangetto (IEEE Trans. Neural Networks Learn. Syst., 2022)

Online Learning for Adaptive Video Streaming in Mobile Networks. - Theodoros Karagkioules; Georgios S. Paschos; Nikolaos Liakopoulos; Attilio Fiandrotti; Dimitrios Tsilimantos; Marco Cagnazzo (ACM Trans. Multim. Comput. Commun. Appl., 2022)

A Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness. - Carl De Sousa Trias; Mihai Mitrea; Enzo Tartaglione; Attilio Fiandrotti; Marco Cagnazzo; Sumanta Chaudhuri (EUVIP, 2023)

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. - Gabriele Spadaro; Riccardo Renzulli; Andrea Bragagnolo; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (ICCV (Workshops), 2023)

Study of historical Byzantine seal images: the BHAI project for computer-based sigillography. - Victoria Eyharabide; Laurence Likforman-Sulem; Lucia Maria Orlandi; Alexandre Binoux; Théophile Rageau; Qijia Huang; Attilio Fiandrotti; Béatrice Caseau; Isabelle Bloch (HIP@ICDAR, 2023)

A Differentiable Entropy Model for Learned Image Compression. - Alberto Presta; Attilio Fiandrotti; Enzo Tartaglione; Marco Grangetto (ICIAP (1), 2023)

A Learnable EVC Intra Predictor Using Masked Convolutions. - Gabriele Spadaro; Roberto Iacoviello; Alessandra Mosca; Giuseppe Valenzise; Attilio Fiandrotti (ICIAP (1), 2023)

Towards One-Shot PCB Component Detection with YOLO. - Gabriele Spadaro; Gaspare Vetrano; Barbara Penna; Antonio Serena; Attilio Fiandrotti (ICIAP Workshops (1), 2023)

Find the Lady: Permutation and Re-synchronization of Deep Neural Networks. - Carl De Sousa Trias; Mihai Petru Mitrea; Attilio Fiandrotti; Marco Cagnazzo; Sumanta Chaudhuri; Enzo Tartaglione (AAAI, 2024)

Domain Adaptation for Learned Image Compression with Supervised Adapters. - Alberto Presta; Gabriele Spadaro; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (DCC, 2024)

AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data. - Mirko Zaffaroni; Federico Signoretta; Marco Grangetto; Attilio Fiandrotti (ECCV Workshops (7), 2024)

Gabic: Graph-Based Attention Block for Image Compression. - Gabriele Spadaro; Alberto Presta; Enzo Tartaglione; Jhony H. Giraldo; Marco Grangetto; Attilio Fiandrotti (ICIP, 2024)

WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking. - Carl De Sousa Trias; Mihai Mitrea; Attilio Fiandrotti; Marco Cagnazzo; Sumanta Chaudhuri; Enzo Tartaglione (ICPR (5), 2024)

ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. - Gabriele Spadaro; Muhammad Salman Ali; Alberto Presta; Giommaria Pilo; Sung-Ho Bae; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (VCIP, 2024)

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. - 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; et al. (CoRR, 2024)

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Cristiano Patrício; Carlo Alberto Barbano; Attilio Fiandrotti; Riccardo Renzulli; Marco Grangetto; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

Say My Name: a Model's Bias Discovery Framework. - Massimiliano Ciranni; Luca Molinaro; Carlo Alberto Barbano; Attilio Fiandrotti; Vittorio Murino; Vito Paolo Pastore; Enzo Tartaglione (CoRR, 2024)

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. - 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; et al. (Sensors, 2024)

A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. - Hafiza Ayesha Hoor Chaudhry; Muhammad Shahid Farid; Attilio Fiandrotti; Marco Grangetto (Neural Comput. Appl., 2024)

Efficient Progressive Image Compression with Variance-Aware Masking. - Alberto Presta; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto; Pamela C. Cosman (WACV, 2025)

WiGNet: Windowed Vision Graph Neural Network. - Gabriele Spadaro; Marco Grangetto; Attilio Fiandrotti; Enzo Tartaglione; Jhony H. Giraldo (WACV, 2025)

Character recognition in Byzantine seals with deep neural networks. - Théophile Rageau; Laurence Likforman-Sulem; Attilio Fiandrotti; Victoria Eyharabide; Béatrice Caseau; Jean-Claude Cheynet (Digit. Appl. Archaeol. Cult. Heritage, 2025)

STanH: Parametric Quantization for Variable Rate Learned Image Compression. - Alberto Presta; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (IEEE Trans. Image Process., 2025)

Robust and efficient airplane cockpit video coding leveraging temporal redundancy. - Iulia Mitrica; Attilio Fiandrotti; Christophe Ruellan; Marco Cagnazzo (Multim. Tools Appl., 2025)

Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization. - Alaa Mazouz; Sumanta Chaudhuri; Marco Cagnazzo; Mihai Mitrea; Enzo Tartaglione; Attilio Fiandrotti (CoRR, 2025)

Security and Real-time FPGA integration for Learned Image Compression. - Alaa Mazouz; Carl De Sousa Trias; Sumanta Chaudhuri; Attilio Fiandrotti; Marco Cagnazzo; Mihai Mitrea; Enzo Tartaglione (CoRR, 2025)

Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates. - Gabriele Spadaro; Alberto Presta; Jhony H. Giraldo; Marco Grangetto; Wei Hu; Giuseppe Valenzise; Attilio Fiandrotti; Enzo Tartaglione (CoRR, 2025)

Neural Velocity for hyperparameter tuning. - Gianluca Dalmasso; Andrea Bragagnolo; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (CoRR, 2025)