Semantic Interpretation and Validation of Graph Attention-Based Explanations for GNN Models. - Efimia Panagiotaki; Daniele De Martini; Lars Kunze (ICAR, 2023)

SEM-GAT: Explainable Semantic Pose Estimation Using Learned Graph Attention. - Efimia Panagiotaki; Daniele De Martini; Georgi Pramatarov; Matthew Gadd; Lars Kunze (ICAR, 2023)

CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs. - George Drayson; Efimia Panagiotaki; Daniel Omeiza; Lars Kunze (CoRR, 2023)

RobotCycle: Assessing Cycling Safety in Urban Environments. - Efimia Panagiotaki; Tyler Reinmund; Stephan Mouton; Luke Pitt; Arundathi Shaji Shanthini; Wayne Tubby; Matthew Towlson; Samuel Sze; Brian Liu; Chris Prahacs; Daniele De Martini; Lars Kunze (IV, 2024)

RobotCycle: Assessing Cycling Safety in Urban Environments. - Efimia Panagiotaki; Tyler Reinmund; Brian Liu; Stephan Mouton; Luke Pitt; Arundathi Shaji Shanthini; Matthew Towlson; Wayne Tubby; Chris Prahacs; Daniele De Martini; Lars Kunze (CoRR, 2024)

NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms. - Efimia Panagiotaki; Daniele De Martini; Lars Kunze; Petar Velickovic (CoRR, 2024)

CERES: Critical-Event Reconstruction via Temporal Scene Graph Completion. - Efimia Panagiotaki; Georgi Pramatarov; Lars Kunze; Daniele De Martini (CoRR, 2024)

OORD: The Oxford Offroad Radar Dataset. - Matthew Gadd; Daniele De Martini; Oliver Bartlett; Paul Murcutt; Matthew Towlson; Matthew Widojo; Valentina Musat; Luke Robinson; Efimia Panagiotaki; Georgi Pramatarov; Marc Alexander Kühn; Letizia Marchegiani; et al. (IEEE Trans. Intell. Transp. Syst., 2024)