Federico Dassiè

Federico Dassiè

Researcher and developer active in research on automated artifact scanning and intelligent data analysis. Passionate about innovative technological solutions at the intersection of humanities and engineering.

Interested in |
Plant
terminal (yes, you can use it)
federico@computer:~$

I mostly use Python but I enjoy integrating my projects with some frontend as well. I previously worked with image processing, 3D reconstruction (SfM, NerF, Gaussian Splatting) and AI frameworks. Currently studying and leveraging the potential of LLMs and RAGs in cultural heritage applications, with a focus on automated textual analysis.

Projects

OCRacle

OCRacle

A tool for evaluating and comparing the performance of various SOTA multimodal LLM models on historical image documents, based on the GT4HistOCR dataset.

Redis RAG

Redis RAG

Retrieval Augmented Generation (RAG) system using Redis and Agentic AI for efficient data retrieval, strict query checking, processing and cross-analysis of historical documents.

Mimic Me

Mimic Me

Minigame webapp about mimicking given tasks using emojis, with different game modes available.

CTE-Genova

CTE-Genova

Integration of 3D scanning and robotic systems for autonomous operations for the digitization of archeological artifacts in the context of the CTE-Genova project.

PyCrop

PyCrop

Image post-processing app with object detection, cropping, compression, and white balancing.

I Conti con la Storia

I Conti con la Storia

WebDoc (online documentary) on Italy's racial laws in media, combining scholarly study and web documentary formats.

OCRacle

OCRacle

A tool for evaluating and comparing the performance of various SOTA multimodal LLM models on historical image documents, based on the GT4HistOCR dataset.

Redis RAG

Redis RAG

Retrieval Augmented Generation (RAG) system using Redis and Agentic AI for efficient data retrieval, strict query checking, processing and cross-analysis of historical documents.

Mimic Me

Mimic Me

Minigame webapp about mimicking given tasks using emojis, with different game modes available.

CTE-Genova

CTE-Genova

Integration of 3D scanning and robotic systems for autonomous operations for the digitization of archeological artifacts in the context of the CTE-Genova project.

PyCrop

PyCrop

Image post-processing app with object detection, cropping, compression, and white balancing.

I Conti con la Storia

I Conti con la Storia

WebDoc (online documentary) on Italy's racial laws in media, combining scholarly study and web documentary formats.

Publications

DARS: A Dual-Arm Robotic System for Autonomous 3D Artifacts Scanning
J. Ahmad, F. Dassiè, S. Frascella, F. Cannella et al. – (submitted to) IROS 2025
2025
AAPOE: Automated Artifacts Position and Orientation Estimation
J. Ahmad, S. Frascella, F. Dassiè et al. – MESA 2024
2024
Machine Learning and Computer Vision in the Humanities
F. Dassiè – Master's Thesis, Ca' Foscari
2022

Work Experience

CCHT Logo

Research Fellow at the Center for Cultural Heritage Technology (CCHT-IIT), Venice

March 2024 - March 2025

Application of computer vision techniques and robotics scripting to automate the scanning and analysis of cultural heritage artifacts, focusing on 3D reconstruction and data extraction.

Technologies used: Python, Robotics (UR, Robotiq), COLMAP, NerF/Gaussian Splatting, 3D Scanners and cameras (Artec, Polyga, Intel Realsense, Zivid), Genesis

FGC Logo

Python Developer at Fondazione Giorgio Cini (ARCHiVe), Venice

February 2022 - February 2024

Development of a pipeline for the automated post-production of images of ancient books and documents, involving object detection and metadata recognition + extraction.

Technologies used: Python, Pytorch, Detectron2, OpenCV, Leaflet, Adobe Lightroom, RawTherapee, Canon cameras

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