Analyzing in batch mode the public dataset on COVID-19 cases issued in official form by the "Dipartimento delle protezione civile" (Italian dataset), structuring a pipeline for statistical analysis on the number of cases for each Italian province.
G. Mancusi's blog Articles.
About me
I am a PhD candidate at the University of Modena and Reggio Emilia (Italy), focusing on Deep Learning and its applications, particularly in fine-tuning large transformer-based models for tracking. My research makes use of Parameter-Efficient Fine-Tuning (PEFT) techniques and Modular Deep Learning strategies to boost the zero-shot capabilities of query-based models for Multiple Object Tracking.
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Latest articles
- [Pre-Print] DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation
- [ICCV2023] TrackFlow: Multi-Object Tracking with Normalizing Flows
- Paintings recognition, People detection in a Museum.
- COVID-19 case statistics using Google Dataflow
- Is moore’s law accurate enough?
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