111 citations · 136 across the 14 of their papers we have counts for
4 papers · 1 filter
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Artur Grigorev, Bernhard Thomaszewski, Michael J. Black +1
We propose a method that leverages graph neural networks, multi-level message passing, and unsupervised training to enable real-time prediction of realistic clothing dynamics. Wher…
Traffic Accident Risk Forecasting using Contextual Vision Transformers
Khaled Saleh, Artur Grigorev, Adriana-Simona Mihaita
Recently, the problem of traffic accident risk forecasting has been getting the attention of the intelligent transportation systems community due to its significant impact on traff…
Traffic incident duration prediction via a deep learning framework for text description encoding
Artur Grigorev, Adriana-Simona Mihaita, Khaled Saleh +1
Predicting the traffic incident duration is a hard problem to solve due to the stochastic nature of incident occurrence in space and time, a lack of information at the beginning of…
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
Artur Grigorev, Adriana-Simona Mihaita, Seunghyeon Lee +1
Predicting the duration of traffic incidents is a challenging task due to the stochastic nature of events. The ability to accurately predict how long accidents will last can provid…