EPFL - Ecole Polytechnique Fédérale de LausanneAcronym | EPFL | Homepage | http://www.epfl.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | EPFL - Ecole Polytechnique Fédérale de Lausanne | Child organizations | |
Open OpportunitiesThis project seeks to merge the capabilities of thermal imaging with modern 3D reconstruction technologies, potentially unlock new possibilities for academic research and practical applications in urban planning, construction, and security. - Computer Vision
- Master Thesis, Semester Project
| Many graphs in real-world applications are text-attributed graphs (TAG). Examples include the description of the condition of sensors and pipes and the water distribution network over the junctions, the posts on a social media platform and the following graph over the users, the text of academic articles and the citation network over these articles, among others. This project focuses on combining the power of graph neural networks (GNNs) and large language models (LLMs) to extract information from both the text modality and the graph modality to facilitate learning on TAGs in engineering applications. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| The project is a collaboration between EPFL IMOS Lab and Belimo exploring Deep Learning algorithms for commissioning parameters of Heating, Ventilation, and Air Conditioning systems - Engineering and Technology
- Master Thesis
| Researchers have started to explore data-driven physics simulations, particularly with Graph Neural Networks for rigid objects collisions. However, simulating rigid collisions among arbitrary shapes is notoriously difficult due to complex geometry and the strong non-linearity of the interactions. In this project, you will focus on the task of learning/simulating rigid objects dynamics with Graph
Neural Networks (GNNs), with the end-goal of predicting future or alternative trajectories for physical rigid objects in a scene. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| Understanding the dynamics of rigid object interactions is crucial in various fields, including robotics, computer graphics, and physics-based simulations. In this project, you will focus on the task of learning/simulating rigid objects dynamics from videos, with the end-goal of predicting future or alternative trajectories for the objects in the scene. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
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