Wine in the Cloud, or: Smart Vineyards with a Distributed “Extreme Data Database” and Supercomputing
(si apre in una nuova finestra)
Autori:
Piyush Harsh,,∗ Stephan Hachinger, Marc Derquennes, Andy Edmonds,Pinar Karagoz, Martin Golasowski, Mohamad Hayek and Jan Martinovič
Pubblicato in:
ISGC&HEPiX2023, 2023
Editore:
PoS
DOI:
10.22323/1.434.0021
Three Pillars improving Vision Foundation Model Distillation for Lidar
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Autori:
Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, Renaud Marlet
Pubblicato in:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore:
IEEE/CVPR
DOI:
10.48550/ARXIV.2310.17504
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images (pre-print version)
Autori:
Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Perez, Josef Sivic
Pubblicato in:
NeurIPS 2023, 2024
Editore:
NeurIPS
ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions
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Autori:
Tomás Soucek; Prajwal Gatti; Michael Wray; Ivan Laptev; Dima Damen; Josef Sivic
Pubblicato in:
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editore:
IEEE
DOI:
10.48550/ARXIV.2412.01987
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
Autori:
Firat Cekinel, Pinar Karagoz, Cagri Coltekin
Pubblicato in:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
Editore:
ELRA and ICCL
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
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Autori:
Tomás Soucek; Dima Damen; Michael Wray; Ivan Laptev; Josef Sivic
Pubblicato in:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore:
IEEE
DOI:
10.48550/ARXIV.2312.07322
IndexAI: AI Based Index Selection for NoSQL Databases (pre-print version)
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Autori:
Mohammad Mahdi Khosravi, Pinar Karagoz, and Ismail Hakki Toroslu
Pubblicato in:
2023 IEEE International Conference on Big Data, 2024
Editore:
IEEE
DOI:
10.1109/BigData59044.2023.10386521