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Hi there 👋 - I'm Luca Parolari, a PhD student at the University of Padova as part of the Visual Intelligence and Machine Perception (VIMP) group. I primarily work with generative AI for dataset generation in the field of visual grounding. I'm currently learning and working with object tracking and re-identification of polyps in colonoscopy videos. I have a deep fascination with blockchain technology and astronomy.

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latest news

  • 18/06/2024: we presented our poster at the CVPR 2024 Synthetic Data for Computer Vision workshop! 🎉 [linkedin post]

selected papers

  • L. Parolari, E. Izzo, L. Ballan. Harlequin: Annotation-driven Generation of Synthetic Data for Referring Expression Comprehension. Pre-print, under review at ICPR. 2024. [short paper at SD4CV@CVPR'24]
  • D. Rigoni, L. Parolari, L. Serafini, A. Sperduti, L. Ballan. Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. In 34th British Machine Vision Conference (BMVC). 2023. [paper] [code]

work experience

  • PhD Student · University of Padova · Padova, Italy · 11/2023–current
  • Research Fellow · University of Padova · Padova, Italy · 12/2022–10/2023
  • AI Software Engineer · Orobix · Bergamo, Italy · 01/2022–11/2022
  • CS Teacher · "Camillo Golgi" High School · Breno (BS), Italy · 11/2019–06/2021
  • Software Engineer · freelance · 2016-2019

education

  • Ph.D. in Brain, Mind and Computer Science, University of Padova, Italy · 2019-current
  • M.Sc. in Computer Science, University of Padova, Italy · 2019-2021
  • B.Sc. in Computer Science, University of Parma, Italy · 2016-2019

Luca Parolari's Projects

ai-examples icon ai-examples

Awesome example implementations of main AI problems in some languages.

algorithms-hw1 icon algorithms-hw1

Minimum Spanning Tree implementation in C++17 using Prim and Kruskal algorithms

appunti icon appunti

Questa repository è stata clonata dall'originale lavoro (https://github.com/UNIPR-Semantica/SemanticaUniPR) del 2014/2015 al fine di correggere eventuali errori o imprecisioni e di ampliare le parti lacunose. Per unirvi all'organizzazione "UNIPR-Semantica-2016-2017" potete inviare una mail a [email protected] o [email protected] e provvederò ad invitarvi.

awesome-laravel icon awesome-laravel

A curated list of bookmarks, packages, tutorials, videos and other cool resources from the Laravel ecosystem

axisly icon axisly

An 2-dimensional point rotator written in functional TypeScript.

bachelor-thesis icon bachelor-thesis

Bachelor thesis: design and implementation in Picat of a set constraint solver.

billys icon billys

Vision and cognitive services exam project.

cashflow icon cashflow

Generates transaction from bank statements for my personal cashflow and budget management page in Notion

corel2019 icon corel2019

Code for AAAI 2019 Network Interpretability workshop paper

grive2 icon grive2

Google Drive client with support for new Drive REST API and partial sync

har icon har

Using CNN with autoencoder features for smartphone-based Human Activity Recognition in real use case scenarios. (Final project for Human Data Analytics class at UNIPD).

harlequin icon harlequin

Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension

jperceptron icon jperceptron

A Java implementation for the perceptron algorithm.

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