Matteo Dunnhofer — accepted AI-conference papers

2025

Is Tracking Really More Challenging in First Person Egocentric Vision?

Matteo Dunnhofer, Zaira Manigrasso, Christian Micheloni

ICCV 2025poster

Visual object tracking and segmentation are becoming fundamental tasks for understanding human activities in egocentric vision. Recent research has benchmarked state-of-the-art methods and concluded that first person egocentric vision presents challenges compared to previously studied domains. Howev…

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2021

Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation

Matteo Dunnhofer, Niki Martinel, Christian Micheloni

RA-L 2021

Deep regression trackers are among the fastest tracking algorithms available, and therefore suitable for real-time robotic applications. However, their accuracy is inadequate in many domains due to distribution shift and overfitting. In this letter we overcome such limitations by presenting the firs

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