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…
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…
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…
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…
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU
Matias Gran-Henriksen, Hans Andreas Lindgaard, Gabriel Kiss +1
This paper introduces Deep HM-SORT, a novel online multi-object tracking algorithm specifically designed to enhance the tracking of athletes in sports scenarios. Traditional multi-…