My name is Matteo Dunnhofer.

I am currently a PhD student at the University of Udine under the supervision of Prof. Christian Micheloni. I received the BSc and MSc in Computer Science from the same institute in 2016 and 2018 respectively. During my Master's I have been also a visiting student at the Australian Centre for Robotic Vision.

The goal of my research is to let machines sense and understand how objects move and change through time, by learning from real-world examples. More specifically, I design and implement deep learning and reinforcement learning algorithms to tackle problems in computer vision, in particular for visual object tracking. I am also very keen in applying such techniques in the context of medical image analysis, in order to let computers improve people's health.


[2021-04] Paper on knee disorder diagnosis with detailed features has been accepted by MIDL 2021!

[2021-03] New paper on domain adaptation of deep trackers has been accepted on IEEE RA-L! Check out the preprint!

[2021-03] New paper on vehicle re-identifcation accepted on IEEE TII!

[2020-11] New paper on object tracking in first person vision is available on ArXiv! Check also the project page!

[2020-09] One paper accepted at ACCV 2020!