We are excited to announce that our team has been awarded as the best solution for the Visual Object Tracking VOT2021 Long-Term tracking challenge. This is the most important competition of such a kind in the computer vision community, and it sees the participation of the most cutting-edge solutions in the field. The VOT challenge…
Read MoreOur team is present at the European Conference on Computer Vision (ECCV) 2020 with two workshop papers! Both will be presented on Friday 28th August. The first “Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution”, by Rao Muhammad Umer and Christian Micheloni, will be presented at the Advances in Image Manipulation Workshop…
Read MoreOur team will present the paper titled “Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution” in the NTIRE 2020 workshop which is held in conjunction with CVPR 2020. Here is the abstract: Most current deep learning based single image super-resolution (SISR) methods focus on designing deeper / wider models to learn the non-linear mapping…
Read MoreOur recent publication “Visual Tracking by Means of Deep Reinforcement Learning and an Expert Demonstrator” will be presented at the VOT2019 Challenge workshop held in conjunction with ICCV 2019. Here is the abstract: In the last decade many different algorithms have been proposed to track a generic object in videos. Their execution on recent large-scale…
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The High School student Alberto Zurini developed a new robotic tool to help blind people reaching destination in unkwown environments. The project titled “butler 4.0” won the first prize from the Chamber of Commerce in Udine
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A lunch in the Lab. with the food prepared and served by the new Pakistani Members Asad and Rao that are pursuing their PhD in Machine Learning at the University of Udine
Read MoreIntervista al Prof. Micheloni sui temi della scuola di dottorato in intelligenza artificiale e più in generale sul tema oggetto della scuola.
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