activity
20222026
most citedText2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework

7 citations · 19 across the 10 of their papers we have counts for

collaborators

12 papers

cs.LG2026

Continuum Attention

Afshin Khadangi

Conventional causal attention aggregates values at discrete memory positions. We introduce Continuum Attention (CA), in which neighboring key and value vectors define a continuous,…

cs.CL2026

BIM Information Extraction Through LLM-based Adaptive Exploration

Sylvain Hellin, Suhyung Jang, Stefan Fuchs +2

BIM models provide structured representations of building geometry, semantics, and topology, yet extracting specific information from them remains remarkably difficult. Current app…

cs.GR2025

HodgeFormer: Transformers for Learnable Operators on Triangular Meshes through Data-Driven Hodge Matrices

Akis Nousias, Stavros Nousias

Currently, prominent Transformer architectures applied on graphs and meshes for shape analysis tasks employ traditional attention layers that heavily utilize spectral features requ…

cs.AI2025

BIMgent: Towards Autonomous Building Modeling via Computer-use Agents

Zihan Deng, Changyu Du, Stavros Nousias +1

Existing computer-use agents primarily focus on general-purpose desktop automation tasks, with limited exploration of their application in highly specialized domains. In particular…

cs.IR2025★ 5 cited

Predictive Modeling: BIM Command Recommendation Based on Large-scale Usage Logs

Changyu Du, Zihan Deng, Stavros Nousias +1

The adoption of Building Information Modeling (BIM) and model-based design within the Architecture, Engineering, and Construction (AEC) industry has been hindered by the perception…

cs.CV2024

VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings

Andrea Carrara, Stavros Nousias, André Borrmann

This paper introduces a new approach to extract and analyze vector data from technical drawings in PDF format. Our method involves converting PDF files into SVG format and creating…

cs.AI2024★ 7 cited

Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework

Changyu Du, Sebastian Esser, Stavros Nousias +1

The conventional BIM authoring process typically requires designers to master complex and tedious modeling commands in order to materialize their design intentions within BIM autho…

cs.HC2024★ 2 cited

Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction

Changyu Du, Stavros Nousias, André Borrmann

Facing increasingly complex BIM authoring software and the accompanying expensive learning costs, designers often seek to interact with the software in a more intelligent and light…

cs.IR2024★ 1 cited

Towards commands recommender system in BIM authoring tool using transformers

Changyu Du, Zihan Deng, Stavros Nousias +1

The complexity of BIM software presents significant barriers to the widespread adoption of BIM and model-based design within the Architecture, Engineering, and Construction (AEC) s…

cs.RO2024

Coordinating robotized construction using advanced robotic simulation: The case of collaborative brick wall assembly

Mohammad Reza Kolani, Stavros Nousias, André Borrmann

Utilizing robotic systems in the construction industry is gaining popularity due to their build time, precision, and efficiency. In this paper, we introduce a system that allows th…

cs.CV2023★ 4 cited

Towards predicting Pedestrian Evacuation Time and Density from Floorplans using a Vision Transformer

Patrick Berggold, Stavros Nousias, Rohit K. Dubey +1

Conventional pedestrian simulators are inevitable tools in the design process of a building, as they enable project engineers to prevent overcrowding situations and plan escape rou…

eess.IV2022

Patient-specific modelling, simulation and real-time processing for respiratory diseases

Stavros Nousias

Asthma is a common chronic disease of the respiratory system causing significant disability and societal burden. It affects more than 300 million people worldwide, while more than…