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Danilo Pau
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2020 – today
- 2024
- [j18]Danilo Pau
, Andrea Pisani
, Antonio Candelieri
:
Towards Full Forward On-Tiny-Device Learning: A Guided Search for a Randomly Initialized Neural Network. Algorithms 17(1): 22 (2024) - [c82]Armin Mazinani, Danilo Pietro Pau, Luca Davoli, Gianluigi Ferrari:
Benchmarking MLCommons Tiny Audio Denoising with Deployability Constraints. GEM 2024: 1-4 - [c81]Anna Sabatini, Costanza Cenerini, Luca Vollero, Danilo Pau
:
Impact of Interfering Factors on a Glucose Sensor Model. I2MTC 2024: 1-6 - [c80]Brenda Zhuang, Danilo Pau
:
A Practical Framework for Designing and Deploying Tiny Deep Neural Networks on Microcontrollers. ICCE 2024: 1-6 - [c79]Emanuele Giuseppe Siani, Laura Scigliano, Dario Bruneo, Fabrizio De Vita, Valeria Tomaselli, Danilo Pau:
A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices. SMARTCOMP 2024: 374-379 - 2023
- [j17]Juan Camilo Nustes, Danilo Pietro Pau
, Giambattista Gruosso
:
Modelling the Field Oriented Control applied to a 3-phase Permanent Magnet Synchronous Motor<. Softw. Impacts 15: 100479 (2023) - [j16]Paola Vitolo
, Rosalba Liguori
, Luigi Di Benedetto
, Alfredo Rubino
, Danilo Pau
, Gian Domenico Licciardo
:
A New NN-Based Approach to In-Sensor PDM-to-PCM Conversion for Ultra TinyML KWS. IEEE Trans. Circuits Syst. II Express Briefs 70(4): 1595-1599 (2023) - [c78]Danilo Pietro Pau
, Welid Ben Yahmed, Jeffrey M. Raynor:
A Deeply Quantized Classifier for Very Low Resolution ToF Imaging. ApplePies 2023: 271-276 - [c77]Danilo Pietro Pau
, Fabrizio Maria Aymone:
Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks. COINS 2023: 1-6 - [c76]Marco Forleo, Danilo Pietro Pau
, Nicolo Ivan Piazzese:
Online-Learnt and Deployed MoDem System. GCAIoT 2023: 1-8 - [c75]Martina Casiroli, Danilo Pietro Pau
:
Tiny Machine Learning Business Intelligence in the Semiconductor Industry: A Case Study. GCAIoT 2023: 9-16 - [c74]Paola Vitolo, Danilo Pau
, Gian Domenico Licciardo
, Massimiliano Pesaturo, Stefano Bosco, Santo Pennino:
Tiny compensation of pressure drift measurements due to long exposures to high temperatures. I2MTC 2023: 1-5 - [c73]Krzysztof K. Kwiatkowski, Danilo Pietro Pau
, Terence S. Leung
, Oriana Di Marco:
Phonocardiogram Segmentation with Tiny Computing. ICCE 2023: 1-4 - [c72]Danilo Pau
, Stefano Colella, Claudio Marchisio:
End to End Optimized Tiny Learning for Repositionable Walls in Maze Topologies. ICCE 2023: 1-7 - [c71]Danilo Pietro Pau
, Tesfaye Amare Naramo, Dimbiniaina Marc Randriatsimiovalaza:
Coding Mel Spectrogram using Keras and Tensorflow for Home Appliances Tiny Classification. ICCE 2023: 1-5 - [c70]Ferheen Ayaz
, Idris Zakariyya
, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau
, Mounia Kharbouche-Harrari:
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. IJCNN 2023: 1-8 - [c69]Armin Mazinani
, Luca Davoli
, Danilo Pietro Pau
, Gianluigi Ferrari:
Accurate Classification of Sport Activities Under Tiny Deployability Constraints. IoTaIS 2023: 261-267 - [c68]Gian Domenico Licciardo
, Paola Vitolo, Stefano Bosco, Santo Pennino, Danilo Pau
, Massimiliano Pesaturo, Luigi Di Benedetto
, Rosalba Liguori:
Ultra-Tiny Neural Network for Compensation of Post-soldering Thermal Drift in MEMS Pressure Sensors. ISCAS 2023: 1-5 - [c67]Dimbiniaina Marc Randriatsimiovalaza, Danilo Pietro Pau
, Tesfaye Amare Naramo:
Mel Power Spectrogram Approximation By Tiny Neural Networks for Home Appliances Classification. MetroInd4.0&IoT 2023: 60-65 - [c66]Danilo Pau
, Prem Kumar Ambrose, Andrea Pisani
, Fabrizio Maria Aymone:
TinyRCE: Forward Learning Under Tiny Constraints. MetroXRAINE 2023: 295-300 - [c65]Danilo Pietro Pau
, Dimbiniaina Marc Randriatsimiovalaza:
Electromyography Gestures Sensing with Deeply Quantized Neural Networks. MetroXRAINE 2023: 711-716 - [i7]Ferheen Ayaz, Idris Zakariyya, José Cano, Sye Loong Keoh, Jeremy Singer, Danilo Pau
, Mounia Kharbouche-Harrari:
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. CoRR abs/2304.12829 (2023) - 2022
- [j15]Riccardo Perego
, Antonio Candelieri
, Francesco Archetti
, Danilo Pau
:
AutoTinyML for microcontrollers: Dealing with black-box deployability. Expert Syst. Appl. 207: 117876 (2022) - [c64]Paola Vitolo
, Gian Domenico Licciardo
, Anna Chiara Amendola, Luigi Di Benedetto
, Rosalba Liguori
, Alfredo Rubino, Danilo Pau
:
Quantized ID-CNN for a Low-power PDM-to-PCM Conversion in TinyML KWS Applications. AICAS 2022: 154-157 - [c63]Michele Perrone
, Danilo Pietro Pau
, Nicolo Ivan Piazzese:
Constrained Neural Estimation of Bluetooth Direction of Arrival with Non-Uniform Arrays. ICCE 2022: 1-6 - [c62]Danilo Pietro Pau
, Norhen Abdennadher:
Reduced complexity on micro-controller learning of ECG anomalies. MetroInd4.0& IoT 2022: 143-148 - [c61]Danilo Pau
, Dimbiniaina Marc Randriatsimiovalaza, Davide Denaro:
Electric current classification with tiny machine learning for home appliances. MetroInd4.0& IoT 2022: 149-154 - [c60]Danilo Pau
, Davide Denaro, Marco Lattuada, Mahdi Mseddi:
Neural keypoint detection for visual gestures on micro-controllers. MetroXRAINE 2022: 175-180 - 2021
- [j14]Laura Falaschetti
, Lorenzo Manoni
, Romel Calero Fuentes Rivera, Danilo Pau
, Gianfranco Romanazzi
, Oriana Silvestroni, Valeria Tomaselli, Claudio Turchetti
:
A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(3): 468-481 (2021) - [j13]Antonio De Vita, Danilo Pau
, Luigi Di Benedetto
, Alfredo Rubino, Frédéric Pétrot, Gian Domenico Licciardo
:
Highly-accurate binary tiny neural network for low-power human activity recognition. Microprocess. Microsystems 87: 104371 (2021) - [c59]Piyush Sahoo, Romesh Rajoria, Shivam Chandhok, Sumit Jagdish Darak, Danilo Pietro Pau
, Hemdutt Dabral:
Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers. AIMLSystems 2021: 10:1-10:7 - [c58]Norhen Abdennadher, Danilo Pau
, Arcangelo Bruna:
Fixed complexity tiny reservoir heterogeneous network for on-line ECG learning of anomalies. GCCE 2021: 233-237 - [c57]Daniele Sammartino, Danilo Pau
, Davide Denaro, Luigi Zambrano:
Intelligent resource constrained battery management on automotive microcontrollers. GCCE 2021: 950-954 - [c56]Danilo Pau
, Davide Denaro, Giambattista Gruosso
, Achraf Sahnoun:
Microcontroller architectures for battery state of charge prediction with tiny neural networks. ICCE-Berlin 2021: 1-6 - [c55]Danilo Pau
, Abderrahim Khiari, Davide Denaro:
Online learning on tiny micro-controllers for anomaly detection in water distribution systems. ICCE-Berlin 2021: 1-6 - [c54]Danilo Pau
, Marco Lattuada
, Francesco Loro, Antonio De Vita, Gian Domenico Licciardo
:
Comparing Industry Frameworks with Deeply Quantized Neural Networks on Microcontrollers. ICCE 2021: 1-6 - [c53]Danilo Pau
, Fabio Previdi, Emanuele Rota:
Tiny defects identification of mechanical components in die-cast aluminum using artificial neural networks for micro-controllers. ICCE 2021: 1-4 - [c52]Paola Vitolo
, Gian Domenico Licciardo
, Luigi Di Benedetto
, Rosalba Liguori
, Alfredo Rubino, Danilo Pau
:
Low-Power Anomaly Detection and Classification System based on a Partially Binarized Autoencoder for In-Sensor Computing. ICECS 2021: 1-5 - [c51]Niccolò Federici, Danilo Pau
, Nicola Adami, Sergio Benini:
Tiny Reservoir Computing for Extreme Learning of Motor Control. IJCNN 2021: 1-8 - [c50]Colby R. Banbury, Vijay Janapa Reddi, Peter Torelli, Nat Jeffries, Csaba Király, Jeremy Holleman, Pietro Montino, David Kanter, Pete Warden, Danilo Pau, Urmish Thakker, Antonio Torrini, Jay Cordaro, Giuseppe Di Guglielmo, Javier M. Duarte, Honson Tran, Nhan Tran, Wenxu Niu, Xuesong Xu:
MLPerf Tiny Benchmark. NeurIPS Datasets and Benchmarks 2021 - [c49]Francesco Loro, Danilo Pau
, Valeria Tomaselli:
A QKeras Neural Network Zoo for Deeply Quantized Imaging. RTSI 2021: 165-170 - [i6]Giulia Crocioni, Giambattista Gruosso, Danilo Pau, Davide Denaro, Luigi Zambrano, Giuseppe di Giore:
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers. CoRR abs/2103.00201 (2021) - [i5]Colby R. Banbury, Vijay Janapa Reddi, Peter Torelli, Jeremy Holleman, Nat Jeffries, Csaba Király, Pietro Montino, David Kanter, Sebastian Ahmed, Danilo Pau, Urmish Thakker, Antonio Torrini, Pete Warden, Jay Cordaro, Giuseppe Di Guglielmo, Javier M. Duarte, Stephen Gibellini, Videet Parekh, Honson Tran, Nhan Tran, Wenxu Niu, Xuesong Xu:
MLPerf Tiny Benchmark. CoRR abs/2106.07597 (2021) - 2020
- [j12]Giulia Crocioni, Danilo Pau
, Jean Michel Delorme, Giambattista Gruosso
:
Li-Ion Batteries Parameter Estimation With Tiny Neural Networks Embedded on Intelligent IoT Microcontrollers. IEEE Access 8: 122135-122146 (2020) - [j11]Antonio De Vita
, Gian Domenico Licciardo
, Aldo Femia, Luigi Di Benedetto
, Alfredo Rubino, Danilo Pau
:
Embeddable Circuit for Orientation Independent Processing in Ultra Low-Power Tri-Axial Inertial Sensors. IEEE Trans. Circuits Syst. II Express Briefs 67-II(6): 1124-1128 (2020) - [j10]Antonio De Vita
, Alessandro Russo, Danilo Pau
, Luigi Di Benedetto
, Alfredo Rubino, Gian Domenico Licciardo
:
A Partially Binarized Hybrid Neural Network System for Low-Power and Resource Constrained Human Activity Recognition. IEEE Trans. Circuits Syst. 67-I(11): 3893-3904 (2020) - [c48]Antonio De Vita, Danilo Pau
, Claudio Parrella, Luigi Di Benedetto
, Alfredo Rubino, Gian Domenico Licciardo
:
Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition Systems. AICAS 2020: 291-295 - [c47]Antonio De Vita, Danilo Pau
, Luigi Di Benedetto
, Alfredo Rubino, Frédéric Pétrot, Gian Domenico Licciardo
:
Low Power Tiny Binary Neural Network with improved accuracy in Human Recognition Systems. DSD 2020: 309-315 - [c46]Riccardo Perego
, Antonio Candelieri
, Francesco Archetti
, Danilo Pau
:
Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems. ICANN (2) 2020: 92-103 - [c45]Francesco Alongi, Nicolò Ghielmetti, Danilo Pau
, Federico Terraneo
, William Fornaciari
:
Tiny Neural Networks for Environmental Predictions: An Integrated Approach with Miosix. SMARTCOMP 2020: 350-355 - [i4]Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav:
Benchmarking TinyML Systems: Challenges and Direction. CoRR abs/2003.04821 (2020)
2010 – 2019
- 2019
- [j9]Emanuele Torti
, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau
, Francesco Leporati, Marco Piastra:
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection. Microprocess. Microsystems 71 (2019) - [c44]Danilo Pau
:
Artificial intelligent sensors at the core of cyber-physical-systems: from theory to practical applications. CF 2019: 2 - [c43]Nikolaos E. Petroulakis
, Eftychia Lakka, Ermin Sakic
, Vivek Kulkarni, Konstantinos Fysarakis
, Iason Somarakis, Jordi Serra, Luis Sanabria-Russo
, Danilo Pau
, Mirko Falchetto, Domenico Presenza
, Tobias Marktscheffel, Kostas Ramantas, Prodromos-Vasileios Mekikis
, Lukasz Ciechomski, Karolina Waledzik:
SEMIoTICS Architectural Framework: End-to-end Security, Connectivity and Interoperability for Industrial IoT. GIoTS 2019: 1-6 - [c42]Remi Varenne, Jean Michel Delorme, Emanuele Plebani, Danilo Pau
, Valeria Tomaselli:
Intelligent Recognition of TCP Intrusions for Embedded Micro-controllers. ICIAP Workshops 2019: 361-373 - [c41]Antonio De Vita, Gian Domenico Licciardo
, Aldo Femia, Luigi Di Benedetto
, Danilo Pau
:
µW Pre-processing Unit for Virtual Sensors Based on Tri-axial Smart Accelerometers. NEWCAS 2019: 1-4 - [c40]Michael Rescati, Emanuela Scapini, Marcello De Matteis, Raimondo Schettini, Danilo Pau
, Marco Paganoni, Andrea Baschirotto:
HAEMS: Implementation of an Intelligent Event-Driven Edge Mesh IoT Architecture. RTSI 2019: 39-44 - [c39]Pietro Montino, Danilo Pau
:
Environmental Intelligence for Embedded Real-time Traffic Sound Classification. RTSI 2019: 45-50 - [c38]Simon Akhtari, Fritz Pickhardt, Danilo Pau
, Alessandra Di Pietro, Giusy Tomarchio:
Intelligent Embedded Load Detection at the Edge on Industry 4.0 Powertrains Applications. RTSI 2019: 427-430 - 2018
- [c37]Dario Cogliati, Mirko Falchetto, Danilo Pau
, Manuel Roveri
, Gabriele Viscardi:
Intelligent Cyber-Physical Systems for Industry 4.0. AI4I 2018: 19-22 - [c36]Antonio De Vita
, Gian Domenico Licciardo
, Luigi Di Benedetto
, Danilo Pau
, Emanuele Plebani, Angelo Bosco:
Low-power Design of a Gravity Rotation Module for HAR Systems Based on Inertial Sensors. ASAP 2018: 1-4 - [c35]Andreas Brokalakis, Nikolaos Tampouratzis
, Antonios Nikitakis, Ioannis Papaefstathiou
, Stamatis Andrianakis, Danilo Pau
, Emanuele Plebani, Marco Paracchini
, Marco Marcon
, Ioannis Sourdis, Prajith Ramakrishnan Geethakumari, Maria Carmen Palacios
, Miguel Ángel Antón
, Attila Szasz:
COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for Systems of Systems. DSD 2018: 115-120 - [c34]Emanuele Torti
, Alessandro Fontanella, Mirto Musci, Nicola Blago, Danilo Pau
, Francesco Leporati, Marco Piastra:
Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices. DSD 2018: 405-412 - [c33]Davide Mazzini, Marco Buzzelli
, Danilo Pietro Pau
, Raimondo Schettini:
A CNN Architecture for Efficient Semantic Segmentation of Street Scenes. ICCE-Berlin 2018: 1-6 - [c32]Muhammad Shahnawaz, Emanuele Plebani, Ivana Guaneri, Danilo Pau
, Marco Marcon
:
Studying the Effects of Feature Extraction Settings on the Accuracy and Memory Requirements of Neural Networks for Keyword Spotting. ICCE-Berlin 2018: 1-6 - [c31]Alessandro Nicosia, Danilo Pau
, Davide Giacalone, Emanuele Plebani, Angelo Bosco, Antonio Iacchetti:
Efficient light harvesting for accurate neural classification of human activities. ICCE 2018: 1-4 - [c30]Michael Rescati, Marcello De Matteis, Marco Paganoni
, Danilo Pau
, Raimondo Schettini, Andrea Baschirotto:
Event-driven cooperative-based Internet-of-Things (IoT) system. ICICDT 2018: 193-196 - [c29]Andreas Brokalakis, Nikolaos Tampouratzis
, Antonios Nikitakis, Ioannis Papaefstathiou
, Stamatis Andrianakis, Apostolos Dollas, Marco Paracchini
, Marco Marcon
, Danilo Pietro Pau
, Emanuele Plebani:
An open-source extendable, highly-accurate and security aware simulator for cloud applications. ICIN 2018: 1-3 - [c28]Lorenzo Cunial, Ahmet Erdem, Cristina Silvano, Mirko Falchetto, Andrea C. Ornstein, Emanuele Plebani, Giuseppe Desoli, Danilo Pau
:
Parallelized Convolutions for Embedded Ultra Low Power Deep Learning SoC. RTSI 2018: 1-4 - [c27]Luca Ranalli, Luigi Di Stefano, Emanuele Plebani, Mirko Falchetto, Danilo Pau
, Viviana D'Alto:
Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks. RTSI 2018: 1-4 - [i3]Luca Carcano, Emanuele Plebani, Danilo Pietro Pau, Marco Piastra:
Pre-trainable Reservoir Computing with Recursive Neural Gas. CoRR abs/1807.09510 (2018) - 2017
- [c26]Marco Paracchini
, Emanuele Plebani, Mehdi Ben Iche, Danilo Pietro Pau
, Marco Marcon
:
Embedded Real-Time Visual Search with Visual Distance Estimation. ICIAP (2) 2017: 59-69 - [c25]Valeria Tomaselli, Emanuele Plebani, Mauro Strano, Danilo Pau
:
Complexity and Accuracy of Hand-Crafted Detection Methods Compared to Convolutional Neural Networks. ICIAP (1) 2017: 298-308 - [c24]Cesare Alippi, Viviana D'Alto, Mirko Falchetto, Danilo Pau
, Manuel Roveri
:
Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation. IJCNN 2017: 1780-1786 - [c23]Danilo Martino, Yun Shen, Marco Paracchini
, Marco Marcon
, Emanuele Plebani, Danilo Pietro Pau
:
Accurate cyber-physical system simulation for distributed visual search applications. RTSI 2017: 1-5 - [c22]George Michael, Nectarios Efstathiou, Kyriacos Mantis, Theocharis Theocharides, Danilo Pau
:
Intelligent embedded and real-time ANN-based motor control for multi-rotor unmanned aircraft systems. VLSI-SoC 2017: 1-6 - 2016
- [j8]Gian Domenico Licciardo
, Thomas Boesch, Danilo Pau
, Luigi Di Benedetto
:
Frame buffer-less stream processor for accurate real-time interest point detection. Integr. 54: 10-23 (2016) - [c21]Giuseppe Desoli, Valeria Tomaselli, Emanuele Plebani, Giulio Urlini, Danilo Pau
, Viviana D'Alto, Tommaso Majo, Fabio De Ambroggi, Thomas Boesch, Surinder Pal Singh, Elio Guidetti, Nitin Chawla:
The Orlando Project: A 28 nm FD-SOI Low Memory Embedded Neural Network ASIC. ACIVS 2016: 217-227 - [c20]Denis Tomè
, Luca Bondi
, Luca Baroffio, Stefano Tubaro, Emanuele Plebani, Danilo Pau
:
Reduced memory region based deep Convolutional Neural Network detection. ICCE-Berlin 2016: 15-19 - [c19]Marco Paracchini
, Marco Marcon
, Emanuele Plebani, Danilo Pietro Pau
:
Visual Search of multiple objects from a single query. ICCE-Berlin 2016: 41-45 - [c18]Marco Paracchini
, Angelo Schepis, Marco Marcon
, Mirko Falchetto, Emanuele Plebani, Danilo Pau
:
Accurate omnidirectional multi-camera embedded structure from motion. RTSI 2016: 1-6 - [i2]Denis Tomè, Luca Bondi, Emanuele Plebani, Luca Baroffio, Danilo Pau, Stefano Tubaro:
Reduced Memory Region Based Deep Convolutional Neural Network Detection. CoRR abs/1609.02500 (2016) - 2015
- [j7]Simone Bianco
, Davide Mazzini, Danilo Pietro Pau
, Raimondo Schettini
:
Local detectors and compact descriptors for visual search: A quantitative comparison. Digit. Signal Process. 44: 1-13 (2015) - [j6]Dionisios N. Pnevmatikatos
, Kyprianos Papadimitriou
, Tobias Becker
, Peter Böhm, Andreas Brokalakis, Karel Bruneel, Catalin Bogdan Ciobanu
, Tom Davidson, Georgi Gaydadjiev
, Karel Heyse, Wayne Luk, Xinyu Niu, Ioannis Papaefstathiou
, Danilo Pau
, Oliver Pell, Christian Pilato
, Marco D. Santambrogio
, Donatella Sciuto
, Dirk Stroobandt, Tim Todman, Elias Vansteenkiste:
FASTER: Facilitating Analysis and Synthesis Technologies for Effective Reconfiguration. Microprocess. Microsystems 39(4-5): 321-338 (2015) - [c17]Alioscia Petrelli, Danilo Pau
, Emanuele Plebani, Luigi Di Stefano:
RGB-D Visual Search with Compact Binary Codes. 3DV 2015: 82-90 - [c16]Alioscia Petrelli, Danilo Pau
, Luigi Di Stefano:
Analysis of Compact Features for RGB-D Visual Search. ICIAP (2) 2015: 14-24 - [c15]George Charitopoulos, Dionisios N. Pnevmatikatos
, Marco D. Santambrogio, Kyprianos Papadimitriou
, Danilo Pau
:
A Run-Time System for Partially Reconfigurable FPGAs: The case of STMicroelectronics SPEAr board. PARCO 2015: 553-562 - [i1]Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra:
A Multi-signal Variant for the GPU-based Parallelization of Growing Self-Organizing Networks. CoRR abs/1503.08294 (2015) - 2014
- [c14]Dionisios N. Pnevmatikatos
, Tobias Becker
, Andreas Brokalakis, Georgi Nedeltchev Gaydadjiev
, Wayne Luk, Kyprianos Papadimitriou
, Ioannis Papaefstathiou
, Danilo Pau
, Oliver Pell, Christian Pilato
, Marco D. Santambrogio, Donatella Sciuto, Dirk Stroobandt:
Effective Reconfigurable Design: The FASTER Approach. ARC 2014: 318-323 - [c13]Gianluca Durelli, Fabrizio Spada, Riccardo Cattaneo
, Christian Pilato
, Danilo Pau
, Marco D. Santambrogio
:
Adaptive Raytracing Implementation Using Partial Dynamic Reconfiguration. IPDPS Workshops 2014: 236-242 - [c12]Fabrizio Spada, Alberto Scolari
, Gianluca C. Durelli, Riccardo Cattaneo
, Marco D. Santambrogio
, Donatella Sciuto
, Dionisios N. Pnevmatikatos
, Georgi Gaydadjiev
, Oliver Pell, Andreas Brokalakis, Wayne Luk, Dirk Stroobandt, Danilo Pau
:
FPGA-Based Design Using the FASTER Toolchain: The Case of STM Spear Development Board. ISPA 2014: 134-141 - 2013
- [j5]Giovanni Condello, Paolo Pasteris, Danilo Pau
, Mariagiovanna Sami:
An OpenCL-based feature matcher. Signal Process. Image Commun. 28(4): 345-350 (2013) - [c11]Chaitanya Gunta, Shazeb N. Khan, Kaushik Saha, Danilo Pietro Pau
:
Acceleration of SVD routines in LAPACK. EUROCON 2013: 1733-1737 - [c10]Manuel Beniani, Mariagiovanna Sami, Danilo Pietro Pau
:
MRI parallel processing for embedded visualization. ICCE-Berlin 2013: 1-5 - [c9]Mathieu Robart, Mauro Plumari, Danilo Pau
:
Extended MPEG-4 3DGC for real-time rendering on embedded platforms. ICCE-Berlin 2013: 1-5 - [c8]Simone Bianco
, Raimondo Schettini
, Davide Mazzini, Danilo Pietro Pau
:
Quantitative review of local descriptors for visual search. ICCE-Berlin 2013: 98-102 - [c7]Danilo Pietro Pau
, Alex Buzzella, Marco Marcon
, Emanuele Plebani:
Mixing retrieval and tracking using compact visual descriptors. ICCE-Berlin 2013: 103-107 - 2012
- [c6]Filippo Malaguti, Federico Tombari
, Samuele Salti
, Danilo Pau
, Luigi Di Stefano:
Toward Compressed 3D Descriptors. 3DIMPVT 2012: 176-183 - [c5]Filippo Malaguti, Danilo Pau
, Luigi Di Stefano:
Low complexity SIFT compression techniques. ICCE-Berlin 2012: 250-253 - [c4]Bruno Jego, Mathieu Robart, Kaushik Saha, Danilo Pietro Pau
:
FAST detector on many-core computers. ICCE-Berlin 2012: 263-266 - [c3]Giacomo Parigi, Angelo Stramieri, Danilo Pau, Marco Piastra:
GPU-based Parallel Implementation of a Growing Self-organizing Network. ICINCO (1) 2012: 633-643
2000 – 2009
- 2006
- [c2]Mirko Falchetto, Massimiliano Barone, Danilo Pau:
Adaptive Frame Rate Up-conversion with Motion Extraction from 3D Space for 3D Pipelines. Eurographics Italian Chapter Conference 2006: 247-253 - 2003
- [j4]Fabrizio S. Rovati, Pieluigi Gardella, Paolo Zambotti, Danilo Pau
:
Spatial-temporal motion estimation for image reconstruction and mouse functionality with optical or capacitive sensors. IEEE Trans. Consumer Electron. 49(3): 711-718 (2003) - 2002
- [j3]Daniele Alfonso, Fabrizio S. Rovati, Danilo Pau
, Luca Celetto:
An innovative, programmable architecture for ultra-low power motion estimation in reduced memory MPEG-4 encoder. IEEE Trans. Consumer Electron. 48(3): 702-708 (2002) - [j2]Antonio Chimienti, Claudia Ferraris
, Danilo Pau
:
A complexity-bounded motion estimation algorithm. IEEE Trans. Image Process. 11(4): 387-392 (2002) - [c1]Domenico Barretta, William Fornaciari
, Mariagiovanna Sami, Danilo Pau
:
SIMD Extension to VLIW Multicluster Processors for Embedded Applications. ICCD 2002: 523-526 - 2000
- [j1]Fabrizio S. Rovati, Danilo Pau
, Emiliano Mario Piccinelli, Luca Pezzoni, Jean-Michel Bard:
An innovative, high quality and search window independent motion estimation algorithm and architecture for MPEG-2 encoding. IEEE Trans. Consumer Electron. 46(3): 697-705 (2000)
Coauthor Index
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-18 21:53 CEST by the dblp team
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