ANTONIO CIPOLLETTA

Most recent publications

Cipolletta, A.; Calimera, A. (2021)
Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks. In: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, 2021, pp. 114-119. ISSN 1530-1591. ISBN: 978-3-9819263-5-4 Download fulltext
Cipolletta, Antonio; Peluso, Valentino; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; ... (2021)
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. In: IEEE INTERNET OF THINGS JOURNAL. ISSN 2327-4662 Download fulltext
Peluso, Valentino; Cipolletta, Antonio; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; ... (2021)
Monocular Depth Perception on Microcontrollers for Edge Applications. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. ISSN 1051-8215 Download fulltext
Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S. (2020)
Enabling monocular depth perception at the very edge. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, usa, 2020, pp. 1581-1583. ISBN: 978-1-7281-9360-1 Download fulltext
Peluso, V.; Rizzo, R. G.; Cipolletta, A.; Calimera, A. (2019)
Inference on the Edge: Performance Analysis of an Image Classification Task Using Off-The-Shelf CPUs and Open-Source ConvNets. In: 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019, esp, 2019, pp. 454-459. ISBN: 978-1-7281-2946-4 Download fulltext
Peluso, V.; Cipolletta, A.; Vaiana, F.; Calimera, A. (2019)
Integer ConvNets on embedded CPUs: Tools and performance assessment on the cortex-A cores. In: 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, ita, 2019, pp. 598-601. ISBN: 978-1-7281-0996-1 Download fulltext
Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S. (2019)
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms. In: 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, Firenze Fiera, ita, 2019, pp. 1703-1708. ISBN: 978-3-9819263-2-3
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