Corso di laurea magistrale

• Synthesis and optimization of digital systems. A.A. 2018/19, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Synthesis and optimization of digital systems. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

• Cipolletta, Antonio (2022)
  Vertical Optimizations of Convolutional Neural Networks for Embedded Systems. relatore: MACII, Enrico; CALIMERA, ANDREA; , 34. XXXIV Ciclo, P.: 170
  Doctoral Thesis
• Cipolletta, Antonio; Peluso, Valentino; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; ... (2022)
  Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs. In: IEEE INTERNET OF THINGS JOURNAL, vol. 9, pp. 25-36. ISSN 2327-4662
  Contributo su Rivista
• Peluso, Valentino; Cipolletta, Antonio; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; ... (2022)
  Monocular Depth Perception on Microcontrollers for Edge Applications. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, vol. 32, pp. 1524-1536. ISSN 1051-8215
  Contributo su Rivista
• 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, 01-05 February 2021, pp. 114-119. ISSN 1530-1591. ISBN: 978-3-9819263-5-4
  Contributo in Atti di Convegno (Proceeding)
• Cipolletta, A.; Calimera, A. (2021)
  On the Efficiency of Sparse-Tiled Tensor Graph Processing for Low Memory Usage. In: 58th ACM/IEEE Design Automation Conference, DAC 2021, usa, 2021, pp. 643-648. ISSN 0738-100X. ISBN: 978-1-6654-3274-0
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)
• 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
  Contributo in Atti di Convegno (Proceeding)

• Stima di profondità a ridotto consumo di potenza, e altri segnali da singola immagine. Brevetto nazionale e internazionale
  Inventori: Andrea Calimera Valentino Peluso