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2020 – today
- 2024
[j19]Hafiza Ayesha Hoor Chaudhry
, Muhammad Shahid Farid, Attilio Fiandrotti, Marco Grangetto:
A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. Neural Comput. Appl. 36(31): 19795-19805 (2024)- [j18]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): 1557 (2024) - [c42]Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione:
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks. AAAI 2024: 21001-21009 - [c41]Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
Domain Adaptation for Learned Image Compression with Supervised Adapters. DCC 2024: 33-42 - [i21]Théophile Rageau, Laurence Likforman-Sulem, Attilio Fiandrotti, Victoria Eyharabide, Béatrice Caseau, Jean-Claude Cheynet:
Character Recognition in Byzantine Seals with Deep Neural Networks. CoRR abs/2401.10741 (2024) - [i20]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 abs/2403.18756 (2024) - [i19]Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
Domain Adaptation for Learned Image Compression with Supervised Adapters. CoRR abs/2404.15591 (2024) - [i18]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 abs/2406.00772 (2024) - [i17]Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione:
Say My Name: a Model's Bias Discovery Framework. CoRR abs/2408.09570 (2024) - [i16]Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione:
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking. CoRR abs/2409.03902 (2024) - [i15]Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
STanH : Parametric Quantization for Variable Rate Learned Image Compression. CoRR abs/2410.00557 (2024) - [i14]Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo:
WiGNet: Windowed Vision Graph Neural Network. CoRR abs/2410.00807 (2024) - 2023
- [c40]Carl De Sousa Trias, Mihai Mitrea, Enzo Tartaglione, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri:
A Hitchhiker's Guide to White-Box Neural Network Watermarking Robustness. EUVIP 2023: 1-6 - [c39]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: 1510-1514 - [c38]Victoria Eyharabide, Laurence Likforman-Sulem, Lucia Maria Orlandi, Alexandre Binoux, Théophile Rageau, Qijia Huang, Attilio Fiandrotti, Béatrice Caseau, Isabelle Bloch:
Study of historical Byzantine seal images: the BHAI project for computer-based sigillography. HIP@ICDAR 2023: 49-54 - [c37]Gabriele Spadaro, Gaspare Vetrano, Barbara Penna, Antonio Serena, Attilio Fiandrotti:
Towards One-Shot PCB Component Detection with YOLO. ICIAP Workshops (1) 2023: 51-61 - [c36]Alberto Presta, Attilio Fiandrotti, Enzo Tartaglione, Marco Grangetto:
A Differentiable Entropy Model for Learned Image Compression. ICIAP (1) 2023: 328-339 - [c35]Gabriele Spadaro, Roberto Iacoviello, Alessandra Mosca, Giuseppe Valenzise, Attilio Fiandrotti:
A Learnable EVC Intra Predictor Using Masked Convolutions. ICIAP (1) 2023: 537-549 - [i13]Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione:
Find the Lady: Permutation and Re-Synchronization of Deep Neural Networks. CoRR abs/2312.14182 (2023) - 2022
- [j17]Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto:
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks 146: 230-237 (2022) - [j16]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): 7237-7250 (2022) - [j15]Theodoros Karagkioules, Georgios S. Paschos, Nikolaos Liakopoulos, Attilio Fiandrotti, Dimitrios Tsilimantos, Marco Cagnazzo:
Online Learning for Adaptive Video Streaming in Mobile Networks. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 2:1-2:22 (2022) - [c34]Luca Molinaro, Rosalia Tatano, Enrico Busto, Attilio Fiandrotti, Valerio Basile, Viviana Patti:
DelBERTo: A Deep Lightweight Transformer for Sentiment Analysis. AI*IA 2022: 443-456 - [c33]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: 185-196 - [c32]Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino:
Lung Nodules Segmentation with DeepHealth Toolkit. ICIAP Workshops (1) 2022: 487-497 - [c31]Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto:
Deep Regression by Feature Regularization for COVID-19 Severity Prediction. ICIAP Workshops 2022: 496-507 - [i12]Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino:
Lung nodules segmentation from CT with DeepHealth toolkit. CoRR abs/2208.00641 (2022) - 2021
- [j14]Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto:
HEMP: High-order entropy minimization for neural network compression. Neurocomputing 461: 244-253 (2021) - [j13]Nour Hobloss, Lu Zhang, Stéphane Lathuilière, Marco Cagnazzo, Attilio Fiandrotti:
Hybrid dual stream blender for wide baseline view synthesis. Signal Process. Image Commun. 97: 116366 (2021) - [j12]Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini, Riccardo Leonardi:
Learnable Descriptors for Visual Search. IEEE Trans. Image Process. 30: 80-91 (2021) - [c30]Riccardo Renzulli, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
Capsule Networks with Routing Annealing. ICANN (1) 2021: 529-540 - [c29]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: 76-80 - [c28]Andrea Bragagnolo, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto:
On the Role of Structured Pruning for Neural Network Compression. ICIP 2021: 3527-3531 - [d1]Luca Bertero, Carlo Alberto Barbano, Daniele Perlo, Enzo Tartaglione, Paola Cassoni, Marco Grangetto, Attilio Fiandrotti, Alessandro Gambella, Luca Cavallo:
UNITOPATHO. IEEE DataPort, 2021
- [i11]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 abs/2101.09991 (2021) - [i10]Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto:
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks. CoRR abs/2102.03773 (2021) - [i9]Enzo Tartaglione, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, Marco Grangetto:
HEMP: High-order Entropy Minimization for neural network comPression. CoRR abs/2107.05298 (2021) - 2020
- [c27]Marcelin Tworski, Stéphane Lathuilière, Salim Belkarfa, Attilio Fiandrotti, Marco Cagnazzo:
DR2S: Deep Regression with Region Selection for Camera Quality Evaluation. ICPR 2020: 6173-6180 - [i8]Marcelin Tworski, Stéphane Lathuilière, Salim Belkarfa, Attilio Fiandrotti, Marco Cagnazzo:
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation. CoRR abs/2009.09981 (2020) - [i7]Enzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, Marco Grangetto:
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks. CoRR abs/2011.09905 (2020)
2010 – 2019
- 2019
- [j11]Tomas Björklund, Attilio Fiandrotti, Mauro Annarumma, Gianluca Francini, Enrico Magli:
Robust license plate recognition using neural networks trained on synthetic images. Pattern Recognit. 93: 134-146 (2019) - [j10]Sina Ghassemi, Attilio Fiandrotti, Emanuele Caimotti, Gianluca Francini, Enrico Magli:
Vehicle joint make and model recognition with multiscale attention windows. Signal Process. Image Commun. 72: 69-79 (2019) - [j9]Sina Ghassemi, Attilio Fiandrotti, Gianluca Francini, Enrico Magli:
Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets. IEEE Trans. Geosci. Remote. Sens. 57(9): 6517-6529 (2019) - [j8]Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto:
Securing Network Coding Architectures Against Pollution Attacks With Band Codes. IEEE Trans. Inf. Forensics Secur. 14(3): 730-742 (2019) - [j7]Iulia Mitrica, Eric Mercier, Christophe Ruellan, Attilio Fiandrotti, Marco Cagnazzo, Béatrice Pesquet-Popescu:
Very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content. IEEE Trans. Multim. 21(9): 2157-2170 (2019) - [c26]Iulia Mitrica, Attilio Fiandrotti, Marco Cagnazzo, Eric Mercier, Christophe Ruellan:
Cockpit Video Coding with Temporal Prediction. EUVIP 2019: 28-33 - [c25]Nour Hobloss, Andrei I. Purica, Attilio Fiandrotti, Marco Cagnazzo, Rémi Cozot, Wassim Hamidouche:
A Hybrid Approach to Wide Baseline View Synthesis with Convolutional Neural Networks. IC3D 2019: 1-7 - [c24]Li Wang, Attilio Fiandrotti, Andrei I. Purica, Giuseppe Valenzise, Marco Cagnazzo:
Enhancing HEVC Spatial Prediction by Context-based Learning. ICASSP 2019: 4035-4039 - [c23]Pavel Nikitin, Marco Cagnazzo, Joël Jung, Attilio Fiandrotti:
Exploiting View Synthesis for Super-multiview Video Compression. ICDSC 2019: 19:1-19:6 - [i6]Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini, Skjalg Lepsøy, Riccardo Leonardi:
Feature Fusion for Robust Patch Matching With Compact Binary Descriptors. CoRR abs/1901.03547 (2019) - [i5]Theodoros Karagkioules, Georgios S. Paschos, Nikolaos Liakopoulos, Attilio Fiandrotti, Dimitrios Tsilimantos, Marco Cagnazzo:
Online Learning for Robust Adaptive Video Streaming in Mobile Networks. CoRR abs/1905.11705 (2019) - 2018
- [j6]Attilio Fiandrotti, Massimo Mattelliano, Enrico Baccaglini, Paolo Vergori:
CDVSec: Privacy-preserving biometrical user authentication in the cloud with CDVS descriptors. Pattern Recognit. Lett. 113: 67-74 (2018) - [c22]Sina Ghassemi, Constantin Sandu, Attilio Fiandrotti, Fabio Giulio Tonolo, Piero Boccardo, Gianluca Francini, Enrico Magli:
Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications. EUSIPCO 2018: 2235-2239 - [c21]Andrea Migliorati, Attilio Fiandrotti, Gianluca Francini, Skjalg Lepsøy, Riccardo Leonardi:
Feature Fusion for Robust Patch Matching with Compact Binary Descriptors. MMSP 2018: 1-6 - [c20]Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini:
Learning sparse neural networks via sensitivity-driven regularization. NeurIPS 2018: 3882-3892 - [i4]Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti, Gianluca Francini:
Learning Sparse Neural Networks via Sensitivity-Driven Regularization. CoRR abs/1810.11764 (2018) - 2017
- [c19]Tomas Björklund, Attilio Fiandrotti, Mauro Annarumma, Gianluca Francini, Enrico Magli:
Automatic license plate recognition with convolutional neural networks trained on synthetic data. MMSP 2017: 1-6 - [c18]Sina Ghassemi, Attilio Fiandrotti, Enrico Magli, Gianluca Francini:
Fine-grained vehicle classificationusing deep residual networks with multiscale attention windows. MMSP 2017: 1-6 - [i3]Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli:
GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring. CoRR abs/1707.02244 (2017) - [i2]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 abs/1707.07546 (2017) - 2016
- [j5]Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto:
Characterization of Band Codes for Pollution-Resilient Peer-to-Peer Video Streaming. IEEE Trans. Multim. 18(6): 1138-1148 (2016) - 2015
- [j4]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): 562-573 (2015) - [c17]Attilio Fiandrotti, Rossano Gaeta, Marco Grangetto:
Pollution-resilient peer-to-peer video streaming with Band Codes. ICME 2015: 1-6 - 2014
- [j3]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): 521-532 (2014) - [j2]Anooq Muzaffar Sheikh, Attilio Fiandrotti, Enrico Magli:
Distributed Scheduling for Low-Delay and Loss-Resilient Media Streaming With Network Coding. IEEE Trans. Multim. 16(8): 2294-2306 (2014) - [c16]Luca Bertinetto, Attilio Fiandrotti, Enrico Magli:
Shot-based object retrieval from video with compressed Fisher Vectors. EUSIPCO 2014: 2210-2214 - [c15]Giovanni Ballocca, Attilio Fiandrotti, Marco Gavelli, Massimo Mattelliano, Michele Morello, Alessandra Mosca, Paolo Vergori:
Demonstrating the new compact descriptors for visual search (CDVS) standard for image retrieval on mobile devices. ICIP 2014: 3411-3413 - 2013
- [c14]Anooq Muzaffar Sheikh, Attilio Fiandrotti, Enrico Magli:
Distributed scheduling for P2P IPTV with low-delay network coding. BMSB 2013: 1-5 - [c13]Anooq Muzaffar Sheikh, Attilio Fiandrotti, Enrico Magli:
Distributed media-aware scheduling for P2P streaming with Network Coding. ICASSP 2013: 3597-3601 - [c12]Attilio Fiandrotti, Valerio Bioglio, Enrico Magli:
Feedback-driven network coding for cooperative video streaming. ICASSP 2013: 3607-3611 - [c11]Anooq Muzaffar Sheikh, Attilio Fiandrotti, Enrico Magli:
Distributed scheduling for scalable P2P video streaming with network coding. INFOCOM 2013: 11-12 - [c10]Anooq Muzaffar Sheikh, Attilio Fiandrotti, Enrico Magli:
Distributed scheduling for scalable P2P video streaming with Network Coding. INFOCOM Workshops 2013: 77-78 - [c9]Attilio Fiandrotti, Sophie M. Fosson, Chiara Ravazzi, Enrico Magli:
PISTA: Parallel Iterative Soft Thresholding algorithm for sparse image recovery. PCS 2013: 325-328 - [i1]Attilio Fiandrotti, Valerio Bioglio, Marco Grangetto, Rossano Gaeta, Enrico Magli:
Band Codes for Energy-Efficient Network Coding with Application to P2P Mobile Streaming. CoRR abs/1309.0316 (2013) - 2012
- [c8]Attilio Fiandrotti, Anooq Muzaffar Sheikh, Enrico Magli:
Towards a P2P videoconferencing system based on low-delay network coding. EUSIPCO 2012: 1529-1533 - [c7]Attilio Fiandrotti, Valerio Bioglio, Enrico Magli, Marco Grangetto, Rossano Gaeta:
Band Codes: Controlled Complexity Network Coding for Peer-to-Peer Video Streaming. ICME 2012: 194-199 - 2011
- [c6]Attilio Fiandrotti, Simone Zezza, Enrico Magli:
Complexity-adaptive Random Network Coding for Peer-to-Peer video streaming. MMSP 2011: 1-6 - 2010
- [j1]Attilio Fiandrotti, Dario Gallucci, Enrico Masala, Juan Carlos De Martin:
Content-adaptive traffic prioritization of spatio-temporal scalable video for robust communications over QoS-provisioned 802.11e networks. Signal Process. Image Commun. 25(6): 438-449 (2010) - [c5]Attilio Fiandrotti, Jacob Chakareski, Pascal Frossard:
Popularity-aware rate allocation in multiview video. VCIP 2010: 77440Q
2000 – 2009
- 2009
- [c4]Dario Gallucci, Attilio Fiandrotti, Enrico Masala, Juan Carlos De Martin:
Content-Adaptive Robust H.264/SVC Video Communications over 802.11e Networks. AINA 2009: 189-196 - 2008
- [c3]Attilio Fiandrotti, Dario Gallucci, Enrico Masala, Juan Carlos De Martin:
High-Performance H.264/SVC Video Communications in 802.11e Ad Hoc Networks. FITraMEn 2008: 200-210 - [c2]Attilio Fiandrotti, Dario Gallucci, Enrico Masala, Enrico Magli:
Traffic Prioritization of H.264/SVC Video over 802.11e Ad Hoc Wireless Networks. ICCCN 2008: 738-742 - 2006
- [c1]Attilio Fiandrotti, Pierluigi Di Nunzio, Federico Di Gregorio, Angelo Raffaele Meo:
A graphical installation system for the GNU/Linux Debian distribution. OSS 2006: 337-338
Coauthor Index
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