Ricardo Fabbri
Full Professor at Polytechnic Insitute at Rio de Janeiro State University
Brazil
Summary
🤩
Rockstar🎓
Top SchoolRicardo Fabbri is a Full Professor and researcher in Brazil with 14 years of experience building advanced 3D computer vision and machine learning systems grounded in differential geometry and mathematics. He has led large interdisciplinary teams at ICERM and produced seminal work on curve- and surface-based 3D reconstruction, including a C++ solver framework (MINUS) that powered fast camera-pose solvers presented at CVPR and published in TPAMI. His career blends deep theoretical contributions—algebraic and differential geometry applied to multiple-view geometry—with practical C++ engineering, exemplified by substantial refactors and maintenance work on the widely used VXL vision libraries. He has a strong academic pedigree (PhD Brown University) and a track record of translating hard math into robust systems with applications in augmented reality and autonomous driving. Less obvious: he repeatedly bridges communities by organizing focused research programs that bring top researchers together to tackle the toughest problems in algebraic vision.
14 years of coding experience
5 years of employment as a software developer
Ph.D., Computer Engineering, Ph.D., Computer Engineering at Brown UniversityMSc., Computer Science, MSc., Computer Science at USP - Universidade de São Paulo
Stackoverflow
246reputation
18kreached
7answers
2questions
Github Skills (16)
computer-vision10
code-library10
c-language10
lib10
cprogramming-language10
algorithms8
algorithm8
implement8
git6
monorepo6
git-merge6
opencv6
matlab6
cherry-pick6
ghostscript6
Programming languages (11)
Github contributions (5)
vxl/vxl
May 2014 - Feb 2019
A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 commits, 9 PRs, 23 comments in 4 years 9 months
Contributions summary:Ricardo primarily focused on refactoring and improving the existing codebase. Their work included cleaning up code, removing unused elements, reordering includes, and fixing header paths. They also addressed compilation errors in the JPEG compression and made changes to adapt to a specific library's API, indicating a focus on maintaining and enhancing the core functionality of the VXL library. Additionally, they made adjustments to the integration with a specific curve library.
structure-from-motionunderstandingcppvisioncluster-computing
rfabbri/vase-multiview-3d-curve-dataset
Oct 2016 - Sep 2018
Contributions:14 commits, 9 pushes, 1 branch in 1 year 11 months
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