1 code implementation • 24 May 2023 • Błażej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis
We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world scenes, called MAVAD, with a diverse range of weather and illumination conditions.
1 code implementation • 20 Jul 2022 • Arian Bakhtiarnia, Błażej Leporowski, Lukas Esterle, Alexandros Iosifidis
Images and video frames captured by cameras placed throughout smart cities are often transmitted over the network to a server to be processed by deep neural networks for various tasks.
no code implementations • 21 Sep 2021 • Błażej Leporowski, Casper Hansen, Alexandros Iosifidis
Industrial processes are monitored by a large number of various sensors that produce time-series data.
no code implementations • 5 Jul 2021 • Błażej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis
Detecting faults in manufacturing applications can be difficult, especially if each fault model is to be engineered by hand.
no code implementations • 12 Mar 2021 • Błażej Leporowski, Alexandros Iosifidis
Despite the popularisation of machine learning models, more often than not, they still operate as black boxes with no insight into what is happening inside the model.
no code implementations • 2 Feb 2021 • Błażej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis
In order to do so, first a dataset that fully describes the operation of an industrial robot performing automated screwdriving must be available.