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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