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2020 – today
- 2026
[j3]Aleksandr Algasov
, Ekaterina A. Nepovinnykh, Fedor Zolotarev, Tuomas Eerola, Heikki Kälviäinen, Charles V. Stewart, Lasha Otarashvili, Jason A. Holmberg:
On Combining Animal Re-Identification Models to Address Small Datasets. Int. J. Comput. Vis. 134(3): 96 (2026)- 2025
- [j2]Samuel Repka, Borek Reich, Fedor Zolotarev, Tuomas Eerola, Pavel Zemcík:
Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks. Pattern Recognit. Lett. 193: 79-85 (2025) - [i5]Samuel Repka, Borek Reich, Fedor Zolotarev, Tuomas Eerola, Pavel Zemcík:
Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks. CoRR abs/2503.03507 (2025) - [i4]Fedor Zolotarev, Tuomas Eerola, Tomi Kauppi:
Deep Unsupervised Segmentation of Log Point Clouds. CoRR abs/2503.14244 (2025) - [i3]Fedor Zolotarev, Borek Reich, Tuomas Eerola, Tomi Kauppi, Pavel Zemcík:
Towards synthetic generation of realistic wooden logs. CoRR abs/2503.14277 (2025) - [i2]Borek Reich, Matej Kunda, Fedor Zolotarev, Tuomas Eerola, Pavel Zemcík, Tomi Kauppi:
Multimodal surface defect detection from wooden logs for sawing optimization. CoRR abs/2503.21367 (2025) - [i1]Aleksandr Algasov, Ekaterina A. Nepovinnykh, Fedor Zolotarev, Tuomas Eerola, Heikki Kälviäinen, Pavel Zemcík, Charles V. Stewart:
Unsupervised Pelage Pattern Unwrapping for Animal Re-identification. CoRR abs/2506.15369 (2025) - 2024
- [c5]Fedor Zolotarev, Borek Reich, Tuomas Eerola, Tomi Kauppi, Pavel Zemcík:
Towards Synthetic Generation of Realistic Wooden Logs. GCPR (2) 2024: 87-100 - [c4]Fedor Zolotarev, Tuomas Eerola, Tomi Kauppi:
Deep Unsupervised Segmentation of Log Point Clouds. ECCV Workshops (4) 2024: 183-196 - 2021
- [c3]Daniel Batrakhanov, Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen:
Virtual sawing using generative adversarial networks. IVCNZ 2021: 1-6 - 2020
- [j1]Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen:
Modelling internal knot distribution using external log features. Comput. Electron. Agric. 179: 105795 (2020)
2010 – 2019
- 2019
- [c2]Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jere Heikkinen, Tomi Kauppi:
Timber Tracing with Multimodal Encoder-Decoder Networks. CAIP (2) 2019: 342-353 - 2018
- [c1]Fedor Zolotarev, Arto Kaarna:
Deep Metric Learning for Color Differences. EUVIP 2018: 1-6
Coauthor Index
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