Ph.D XXXIX

Supervisor: Christian Micheloni

Phone: 

Room: Rizzi L2c-08-DE

Mail: nottebaum.moritz@spes.uniud.it

Research Project

Efficient Inference for Object Detection and Object Tracking with emphasis on the analysis of backbone architectures and unconventional design paradigms

My research revolves around the domain of efficient inference for object detection and object tracking, placing a significant emphasis on the critical analysis of backbone architectures and the exploration of unconventional design paradigms. Through an in-depth examination of existing models and architectures, my work seeks to identify key elements that impact the efficiency of inference processes. Special attention is devoted to understanding the role of backbone architectures in influencing the overall performance of object detection and tracking systems. Furthermore, I explore unconventional design paradigms to uncover novel approaches that may contribute to more streamlined and effective inference mechanisms. By combining insights from both traditional and unconventional perspectives, the overarching objective is to advance the field, optimizing inference for enhanced efficiency in the crucial tasks of object detection and tracking.