Deep Metric Learning for Color Differences. - Fedor Zolotarev; Arto Kaarna (EUVIP, 2018)

Timber Tracing with Multimodal Encoder-Decoder Networks. - Fedor Zolotarev; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen; Heikki Haario; Jere Heikkinen; Tomi Kauppi (CAIP (2), 2019)

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)

Virtual sawing using generative adversarial networks. - Daniel Batrakhanov; Fedor Zolotarev; Tuomas Eerola; Lasse Lensu; Heikki Kälviäinen (IVCNZ, 2021)

Towards Synthetic Generation of Realistic Wooden Logs. - Fedor Zolotarev; Borek Reich; Tuomas Eerola; Tomi Kauppi; Pavel Zemcík (GCPR (2), 2024)

Deep Unsupervised Segmentation of Log Point Clouds. - Fedor Zolotarev; Tuomas Eerola; Tomi Kauppi (ECCV Workshops (4), 2024)

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)

Multimodal surface defect detection from wooden logs for sawing optimization. - Borek Reich; Matej Kunda; Fedor Zolotarev; Tuomas Eerola; Pavel Zemcík; Tomi Kauppi (CoRR, 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, 2025)