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[Timotei Ardelean]

Timotei Ardelean

M. Sc., Research Assistant
email
office 01.129-128
office hrs upon request
address       Institute for Digital Reality
Dept of Computer Science
FAU Erlangen-Nürnberg
Cauerstraße 11
91058 Erlangen, Germany

Short Bio

Timotei Ardelean is a researcher at FAU within the chair of Digital Reality and part of the PRIME ITN project. Previously, he completed his Bachelor’s studies at the Transilvania University of Brasov, Romania, with a thesis pertaining to the generation of synthetic images of human subjects. Afterward, he graduated with a Master’s degree from the Skolkovo Institute of Science and Technology, Russia, where his research was focused on tasks at the intersection of 3D Computer Vision and Computer Graphics, including Novel View Synthesis, Depth Enhancement, and 3D reconstruction.

Citation Style:    Publications

[High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis]
2024
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis.
Andrei-Timotei Ardelean, Tim Weyrich.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 11 pages, January 2024.
Andrei-Timotei Ardelean and Tim Weyrich. High-fidelity zero-shot texture anomaly localization using feature correspondence analysis. In Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2024.Ardelean, A.-T., and Weyrich, T. 2024. High-fidelity zero-shot texture anomaly localization using feature correspondence analysis. In Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).A.-T. Ardelean and T. Weyrich, “High-fidelity zero-shot texture anomaly localization using feature correspondence analysis,” in Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan. 2024.
[Web Page][PDF (37 MB)][Low-res PDF (2.0 MB)][Suppl. Material, PDF only (1.4 MB)][Suppl. Material, Full Archive (90 MB)][Short Video (55 MB)][Source Code][BibTeX][arXiv Versions][Open-Access Version]
[Sphere-Guided Training of Neural Implicit Surfaces]
2023
Sphere-Guided Training of Neural Implicit Surfaces.
Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, Evgeny Burnaev.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, and Evgeny Burnaev. Sphere-guided training of neural implicit surfaces. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 20844–20853, June 2023.Dogaru, A., Ardelean, A.-T., Ignatyev, S., Zakharov, E., and Burnaev, E. 2023. Sphere-guided training of neural implicit surfaces. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20844–20853.A. Dogaru, A.-T. Ardelean, S. Ignatyev, E. Zakharov, and E. Burnaev, “Sphere-guided training of neural implicit surfaces,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023, pp. 20 844–20 853.
[Project Page][PDF][Supp. Mat.][BibTeX]
[Multi-sensor large-scale dataset for multi-view 3D reconstruction]
Multi-sensor large-scale dataset for multi-view 3D reconstruction.
Oleg Voynov, Gleb Bobrovskikh, Pavel Karpyshev, Saveliy Galochkin, Andrei-Timotei Ardelean, Arseniy Bozhenko, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, Denis Zorin.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Oleg Voynov, Gleb Bobrovskikh, Pavel Karpyshev, Saveliy Galochkin, Andrei-Timotei Ardelean, Arseniy Bozhenko, Ekaterina Karmanova, Pavel Kopanev, Yaroslav Labutin-Rymsho, Ruslan Rakhimov, Aleksandr Safin, Valerii Serpiva, Alexey Artemov, Evgeny Burnaev, Dzmitry Tsetserukou, and Denis Zorin. Multi-sensor large-scale dataset for multi-view 3d reconstruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 21392–21403, June 2023.Voynov, O., Bobrovskikh, G., Karpyshev, P., Galochkin, S., Ardelean, A.-T., Bozhenko, A., Karmanova, E., Kopanev, P., Labutin-Rymsho, Y., Rakhimov, R., Safin, A., Serpiva, V., Artemov, A., Burnaev, E., Tsetserukou, D., and Zorin, D. 2023. Multi-sensor large-scale dataset for multi-view 3d reconstruction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 21392–21403.O. Voynov, G. Bobrovskikh, P. Karpyshev, S. Galochkin, A.-T. Ardelean, A. Bozhenko, E. Karmanova, P. Kopanev, Y. Labutin-Rymsho, R. Rakhimov, A. Safin, V. Serpiva, A. Artemov, E. Burnaev, D. Tsetserukou, and D. Zorin, “Multi-sensor large-scale dataset for multi-view 3d reconstruction,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2023, pp. 21 392–21 403.
[Project Page][PDF][Supp. Mat.][BibTeX]
[Stereo Magnification With Multi-Layer Images]
2022
Stereo Magnification With Multi-Layer Images.
Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Andrei-Timotei Ardelean, Victor Lempitsky.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 8687-8696.
Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Andrei-Timotei Ardelean, and Victor Lempitsky. Stereo magnification with multi-layer images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 8687–8696, June 2022.Khakhulin, T., Korzhenkov, D., Solovev, P., Sterkin, G., Ardelean, A.-T., and Lempitsky, V. 2022. Stereo magnification with multi-layer images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8687–8696.T. Khakhulin, D. Korzhenkov, P. Solovev, G. Sterkin, A.-T. Ardelean, and V. Lempitsky, “Stereo magnification with multi-layer images,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022, pp. 8687–8696.
[Project Page][PDF][Supp. Mat.][BibTeX]
[NPBG++: Accelerating Neural Point-Based Graphics]
NPBG++: Accelerating Neural Point-Based Graphics.
Rakhimov Ruslan, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 15969-15979.
Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, and Evgeny Burnaev. NPBG++: accelerating neural point-based graphics. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 15969–15979, June 2022.Rakhimov, R., Ardelean, A.-T., Lempitsky, V., and Burnaev, E. 2022. NPBG++: accelerating neural point-based graphics. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15969–15979.R. Rakhimov, A.-T. Ardelean, V. Lempitsky, and E. Burnaev, “NPBG++: accelerating neural point-based graphics,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2022, pp. 15 969–15 979.
[Project Page][PDF][Supp. Mat.][BibTeX]
[Pose Manipulation with Identity Preservation]
2020
Pose Manipulation with Identity Preservation.
Andrei-Timotei Ardelean, Lucian Sasu.
International Journal of Computers Communications & Control.
Andrei-Timotei Ardelean and Lucian Sasu. Pose manipulation with identity preservation. International Journal of Computers Communications & Control, 15(2), 2020.Ardelean, A.-T., and Sasu, L. 2020. Pose manipulation with identity preservation. International Journal of Computers Communications & Control 15, 2.A.-T. Ardelean and L. Sasu, “Pose manipulation with identity preservation,”International Journal of Computers Communications & Control, vol. 15, no. 2, 2020. [Online]. Available: http://univagora.ro/jour/index.php/ijccc/article/view/3862
[Project Page][PDF][BibTeX][DOI]

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