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.


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

[2020-07] Paper accepted at the VOT2020 workshop held at ECCV 2020!

[2020-07] New paper on ArXiv!

[2020-06] I will give a lab lecture on deep reinforcement learning at the International Summer School on Artificial Intelligence AI-DLDA 2020!

[2019-12] My first journal paper "Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images" was accepted for publication in Medical Image Analysis!