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Projekt

SustainML_SDS

Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

The framework will be made available on the AI4EU platform and disseminated through close collaboration with initiatives such as the ICT 48 networks. It will also be directly exploited by the industrial partners representing various parts of the relevant value chain: from software framework, through hardware to AI services.

  • Laufzeit:

Fördergeber

EU - Europäische Union

101070408

EU - Europäische Union

Projekt teilen auf:

Kontakt
Dr.-Ing. Sebastian Palacio

Keyfacts

Publikationen zum Projekt

SphereCraft: A Dataset for Spherical Keypoint Detection, Matching and Camera Pose Estimation

Christiano Couto Gava; Yunmin Cho; Federico Raue; Sebastian Palacio; Alain Pagani; Andreas Dengel

In: IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2024), January 4-8, Waikoloa, Hawaii, USA, IEEE, 1/2024.

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SphereGlue: Learning Keypoint Matching on High Resolution Spherical Images

Christiano Couto Gava; Vishal Sharbidar Mukunda; Tewodros Amberbir Habtegebrial; Federico Raue; Sebastian Palacio; Andreas Dengel

In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2023), CVPR 2023 Workshop - Image Matching: Local Features & Beyond, June 18-22, Vancouver, Canada, Pages 6133-6143, IEEE, 6/2023.

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Cross-Domain Transformation for Outlier Detection on Tabular Datasets

Dayananda Herurkar; Timur Sattarov; Jörn Hees; Sebastian Palacio; Federico Raue; Andreas Dengel

In: IJCNN 2023 : International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2023), located at IJCNN, June 18-23, Gold Coast Convention and Exhibition Centre, Queensland, Australia, DFKI Research Reports (RR), IEEE Xplore, 2023.

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