5 papers
Spatiotemporal Multi-Task Graph Transformer for Trip-Level Transit Prediction
Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth
Passenger count data from public transit systems reveals urban mobility patterns and is essential for planning, operation, and optimisation. However, non-linear spatiotemporal inte…
Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving
Florian Wintel, Sigmund H. Høeg, Gabriel Kiss +1
End-to-end planning systems for autonomous driving are rapidly improving, especially in closed-loop simulation environments like CARLA. Many such driving systems either do not cons…
Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning
Anders Austlid Taskén, Thierry Judge, Erik Andreas Rye Berg +8
Segmental longitudinal strain (SLS) of the left ventricle (LV) is an important prognostic indicator for evaluating regional LV dysfunction, in particular for diagnosing and managin…
SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation
Sachin Verma, Frank Lindseth, Gabriel Kiss
Semantic segmentation is essential for analyzing highdefinition remote sensing images (HRSIs) because it allows the precise classification of objects and regions at the pixel level…
Exploring Urban Mobility Trends using Cellular Network Data
Oluwaleke Yusuf, Adil Rasheed, Frank Lindseth
The growth of urban areas intensifies the need for sustainable, efficient transportation infrastructure and mobility systems, driving initiatives to enhance infrastructure and publ…