Fabio Poiesi

Head Of Technologies Of Vision at Shandong University

Italy
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Summary

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Senior
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Fabio Poiesi is a vision technologies leader with eight years of focused experience bridging academic research and applied computer vision, currently heading the Technologies of Vision group at Fondazione Bruno Kessler. He holds a PhD in Electronic Engineering and Computer Science from Queen Mary University of London and has progressed from PhD and postdoc roles into research scientist and leadership positions while maintaining affiliated research ties at Istituto Italiano di Tecnologia. Fabio teaches Computer Vision and Deep Learning at Shandong University and has a track record of translating cutting-edge research into practical systems and labs. His work emphasizes pattern analysis and deep learning for visual understanding, informed by a steady publication record accessible via Google Scholar. Based in Italy, he combines European academic rigor with hands-on lab leadership and international teaching experience, making him adept at guiding teams from concept to deployable vision solutions. An underappreciated strength is his continuity across roles—he has grown within FBK from researcher to head, signaling strong technical depth coupled with organizational impact.
code9 years of coding experience
job10 years of employment as a software developer
bookBSc, MSc in Telecommunication Engineering, BSc, MSc in Telecommunication Engineering at Universita' degli studi di Brescia, Italy
bookDoctor of Philosophy (PhD), Electronic Engineering and Computer Science, Doctor of Philosophy (PhD), Electronic Engineering and Computer Science at Queen Mary University of London, United Kingdom
languagesItalian, English
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Github Skills (93)

computer-graphics10
3d10
arm10
cpp10
mesh-processing10
rendering10
dynamicobject10
odometry10
open3d10
visualization10
opengl9
deeplab9
computer-vision9
image-processing9
python9

Programming languages (3)

C#C++Python

Github contributions (5)

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fabiopoiesi/gedi

May 2021 - Jun 2022

Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI
Contributions:14 commits, 12 pushes, 1 branch in 1 year
3dpoint-cloud
Contributions:108 pushes, 1 branch in 8 years 4 months
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