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  • University of Padova
  • 21:16 (UTC +02:00)

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Achievements

Achievement: YOLOAchievement: Public SponsorAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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lparolari/README.md

whoami

Hi there 👋 - I'm Luca Parolari, a PhD student at the University of Padova (Italy) as part of the Visual Intelligence and Machine Perception (VIMP) group.

I primarily work on self-supervised and contrastive learning on low-label and noisy settings, with a focus on medical imaging I've previously worked on generative AI for dataset generation and visual grounding. I have a deep fascination with astronomy.

homepage linkedin scholar cv

selected publications

  • L. Parolari, P. Gori, L. Ballan, C. Biffi, L. Le Folgoc. Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos. Early accepted at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026. 2026. [paper][code]
  • L. Parolari, N. Faccioli, L. Ballan. Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings. Accepted at Computer Vision and Patter Recognition (CVPR) Findings 2026. 2026. [paper][code]
  • L. Parolari, A. Cherubini, L. Ballan, C. Biffi. Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025, Daejoon, South Corea. 2025. [paper][code]
  • E. Izzo, L. Parolari, D. Vezzarro, L. Ballan. 7Bench: a Comprehensive Benchmark for Layout-guided Text-to-image Models. In International Conference on Image Analysis and Processing (ICIAP) 2025, Rome, Italy. 2025. [paper][code]
  • L. Parolari, A. Cherubini, L. Ballan, C. Biffi. Towards Polyp Counting In Full-Procedure Colonoscopy Videos. In International Symposium on Biomedical Imaging (ISBI) 2025, Houston, USA. 2025. [paper][code]
  • L. Parolari, E. Izzo, L. Ballan. Harlequin: Annotation-driven Generation of Synthetic Data for Referring Expression Comprehension. In International Conference in Patter Recognition (ICPR) 2024, Kolkata, India. 2024. [paper][short][code]
  • D. Rigoni, L. Parolari, L. Serafini, A. Sperduti, L. Ballan. Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement. In British Machine Vision Conference (BMVC) 2023, Aberdeen, UK. 2023. [paper][code]

work experience

  • PhD Student · University of Padova · Padova, Italy · 11/2023–current
  • Visiting PhD Student · Telecom Paris, Institut Polytechnique de Paris · Paris, France · 10/2025–03/2026
  • 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 · 2023-current
  • M.Sc. in Computer Science, University of Padova, Italy · 2019-2021
  • B.Sc. in Computer Science, University of Parma, Italy · 2016-2019

Pinned Loading

  1. ntssl ntssl Public

    Code for "Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos", early accepted at MICCAI 2026 🌟

    Python

  2. cobench cobench Public

    Code and benchmarks for "Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings" — 🌟 CVPR Findings 2026

    Python 1

  3. temporally-aware-polyp-counting temporally-aware-polyp-counting Public

    Code and data for the paper "Temporally-Aware Supervised Contrastive Learning for Polyp Counting in Colonoscopy" accepted at MICCAI'25 🌟

    Python 2

  4. towards-polyp-counting towards-polyp-counting Public

    Code and data for the paper "Towards Polyp Counting in Full-Procedure Colonoscopy Videos" accepted at ISBI'25 (oral) 🌟

    Python 6 1

  5. harlequin harlequin Public

    Code and DataLoader for the Harlequin dataset 🎨 described in the paper "Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension", presented at ICPR'24

    Python 3

  6. har har Public

    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).

    Jupyter Notebook 5