no code implementations • 29 Mar 2024 • Ali Hassanzadeh, Mojtaba Hosseini, John G. Turner
Methodology: We propose a data-driven model which exploits predictive and prescriptive analytics to produce a schedule for the remainder of the season comprised of a subset of originally-scheduled games.
2 code implementations • 16 Dec 2019 • Diego Rodriguez, Hafez Farazi, Grzegorz Ficht, Dmytro Pavlichenko, Andre Brandenburger, Mojtaba Hosseini, Oleg Kosenko, Michael Schreiber, Marcel Missura, Sven Behnke
Individual and team capabilities are challenged every year by rule changes and the increasing performance of the soccer teams at RoboCup Humanoid League.
Robotics
1 code implementation • 5 Sep 2019 • Hafez Farazi, Grzegorz Ficht, Philipp Allgeuer, Dmytro Pavlichenko, Diego Rodriguez, Andre Brandenburger, Mojtaba Hosseini, Sven Behnke
Over the past few years, the Humanoid League rules have changed towards more realistic and challenging game environments, which encourage teams to advance their robot soccer performances.
Robotics
1 code implementation • 19 Oct 2018 • Grzegorz Ficht, Hafez Farazi, André Brandenburger, Diego Rodriguez, Dmytro Pavlichenko, Philipp Allgeuer, Mojtaba Hosseini, Sven Behnke
Humanoid robotics research depends on capable robot platforms, but recently developed advanced platforms are often not available to other research groups, expensive, dangerous to operate, or closed-source.
Robotics
no code implementations • 21 Nov 2015 • Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini, Reinhard klette
In this paper, we propose a method for real-time anomaly detection and localization in crowded scenes.
no code implementations • 21 Nov 2015 • Mohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini
We propose a fusion strategy to combine the two descriptors as the output of our system.