activity
20162026
most citednuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction

16 citations · 33 across the 21 of their papers we have counts for

collaborators
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7 papers · 1 filter

cs.AI2026

Constraint-Guided Enterprise Data Mapping with Large Language Models

Sebastian Monka, Pramod Anantharam, Thien Vo Minh +1

Enterprise entity alignment must handle semi-structured records, implicit attributes, and unit or granularity mismatches. Manual matching is still common in practice, but does not…

cs.AI2026

ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis

Phi Nguyen Xuan, Nicholas Tagliapietra, Lavdim Halilaj +2

Causal analysis is a crucial task in many domains, including manufacturing, social science, and medicine. However, despite recent progress, the conceptual and methodological comple…

cs.AI2025

Enhancing Manufacturing Knowledge Access with LLMs and Context-aware Prompting

Sebastian Monka, Irlan Grangel-González, Stefan Schmid +4

Knowledge graphs (KGs) have transformed data management within the manufacturing industry, offering effective means for integrating disparate data sources through shared and struct…

cs.AI2024★ 1 cited

SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction

Zixu Wang, Zhigang Sun, Juergen Luettin +1

Accurate trajectory prediction is crucial for ensuring safe and efficient autonomous driving. However, most existing methods overlook complex interactions between traffic participa…

cs.AI2022★ 12 cited

Relation-based Motion Prediction using Traffic Scene Graphs

Maximilian Zipfl, Felix Hertlein, Achim Rettinger +5

Representing relevant information of a traffic scene and understanding its environment is crucial for the success of autonomous driving. Modeling the surrounding of an autonomous c…

cs.AI2022

Context-driven Visual Object Recognition based on Knowledge Graphs

Sebastian Monka, Lavdim Halilaj, Achim Rettinger

Current deep learning methods for object recognition are purely data-driven and require a large number of training samples to achieve good results. Due to their sole dependence on…

cs.AI2016

Git4Voc: Git-based Versioning for Collaborative Vocabulary Development

Lavdim Halilaj, Irlán Grangel-González, Gökhan Coskun +1

Collaborative vocabulary development in the context of data integration is the process of finding consensus between the experts of the different systems and domains. The complexity…