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Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs


Mar 19, 2021
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi

* 15 pages, 15 figures, 4 tables. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Multiscale Anisotropic Harmonic Filters on non Euclidean domains


Feb 01, 2021
Francesco Conti, Gaetano Scarano, Stefania Colonnese

* 5 pages, 10 figures, submitted to EUSIPCO 

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DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs


Aug 17, 2020
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti

* 14 pages, 13 figures, 4 tables, 2 listings. Submitted to IEEE Transactions on Computers 

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Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node


Jul 17, 2020
Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini

* Submitted to ISICAS2020 journal special issue 

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Technical Report: NEMO DNN Quantization for Deployment Model


Apr 13, 2020
Francesco Conti

* 12 pages, technical report 

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PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors


Aug 29, 2019
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini

* 13 pages, 11 figures, 2 tables 

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An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs


May 10, 2019
Daniele Palossi, Francesco Conti, Luca Benini

* Accepted for publication in Proceeding of International Conference on Distributed Computing in Sensor Systems (DCOSS 2019). arXiv admin note: text overlap with arXiv:1805.01831 

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Optimally Scheduling CNN Convolutions for Efficient Memory Access


Feb 04, 2019
Arthur Stoutchinin, Francesco Conti, Luca Benini


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A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones


Jan 15, 2019
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini

* 14 pages, 13 figures, 5 tables, 2 listings, under review on IEEE Internet of Things Journal (IEEE IOTJ) 

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XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference


Jul 09, 2018
Francesco Conti, Pasquale Davide Schiavone, Luca Benini

* 11 pages, 8 figures, 2 tables, 3 listings. Accepted for presentation at CODES'18 and for publication in IEEE Transactions on Computer-Aided Design of Circuits and Systems (TCAD) as part of the ESWEEK-TCAD special issue 

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Ultra Low Power Deep-Learning-powered Autonomous Nano Drones


May 04, 2018
Daniele Palossi, Antonio Loquercio, Francesco Conti, Eric Flamand, Davide Scaramuzza, Luca Benini

* 12 pages, 10 figures, 6 tables, under review on IEEE Internet of Things Journal (IEEE IOTJ) 

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Chipmunk: A Systolically Scalable 0.9 mm${}^2$, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference


Feb 20, 2018
Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini


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NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs


Dec 04, 2017
Paolo Meloni, Alessandro Capotondi, Gianfranco Deriu, Michele Brian, Francesco Conti, Davide Rossi, Luigi Raffo, Luca Benini

* 22 pages, 14 figures, submitted to ACM Transactions on Reconfigurable Technology and Systems 

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An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics


Apr 23, 2017
Francesco Conti, Robert Schilling, Pasquale Davide Schiavone, Antonio Pullini, Davide Rossi, Frank Kagan Gürkaynak, Michael Muehlberghuber, Michael Gautschi, Igor Loi, Germain Haugou, Stefan Mangard, Luca Benini

* 15 pages, 12 figures, accepted for publication to the IEEE Transactions on Circuits and Systems - I: Regular Papers 

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