Fedor Zolotarev

According to our database, Fedor Zolotarev authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Unsupervised Pelage Pattern Unwrapping for Animal Re-identification.

Aleksandr Algasov, Ekaterina A. Nepovinnykh, Fedor Zolotarev, Tuomas Eerola, Heikki Kälviäinen, Pavel Zemcík, Charles V. Stewart

CoRR, June, 2025

Multimodal surface defect detection from wooden logs for sawing optimization.

Borek Reich, Matej Kunda, Fedor Zolotarev, Tuomas Eerola, Pavel Zemcík, Tomi Kauppi

CoRR, March, 2025

Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks.

Samuel Repka, Borek Reich, Fedor Zolotarev, Tuomas Eerola, Pavel Zemcík

Pattern Recognit. Lett., 2025

2024

Deep Unsupervised Segmentation of Log Point Clouds.

Fedor Zolotarev, Tuomas Eerola, Tomi Kauppi

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Towards Synthetic Generation of Realistic Wooden Logs.

Fedor Zolotarev, Borek Reich, Tuomas Eerola, Tomi Kauppi, Pavel Zemcík

Proceedings of the Pattern Recognition, 2024

2021

Virtual sawing using generative adversarial networks.

Daniel Batrakhanov, Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021

2020

Modelling internal knot distribution using external log features.

Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Tapio Helin, Heikki Haario, Tomi Kauppi, Jere Heikkinen

Comput. Electron. Agric., 2020

2019

Timber Tracing with Multimodal Encoder-Decoder Networks.

Fedor Zolotarev, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jere Heikkinen, Tomi Kauppi

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Deep Metric Learning for Color Differences.

Fedor Zolotarev, Arto Kaarna

Proceedings of the 7th European Workshop on Visual Information Processing, 2018