Enrico Calabrese

Position:
PhD Student -- ended Jan 2022
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I obtained a Master’s degree in Micro and Nanotechnologies for Integrated Systems in 2015 from Politecnico di Torino, Grenoble INP and EPFL.
My work at the Institute of Neuroinformatics focuses on applying neuromorphic principles to computer vision for new solutions and improved power efficiency towards low-power real-time artificial vision. In particular, I investigate three levels of abstraction: From neurally-inspired digital hardware Convolutional Neural Network (CNN) inference accelerators exploiting activation sparsity, to Deep Learning with event-based cameras for human pose estimation, to neuromorphic hardware systems for depth estimation.

Supervisor

Giacomo Indiveri

Publications

2021

2019

  • Enrico Calabrese, Gemma Taverni, Christopher Awai Easthope, Sophie Skriabine, Federico Corradi, Luca Longinotti, Kynan Eng, Tobi Delbruck DHP19: Dynamic Vision Sensor 3D Human Pose Dataset, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019

2018

2017