| Siamese network based pelage pattern matching for ringed seal re-identification E Nepovinnykh, T Eerola, H Kalviainen Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 53 | 2020 |
| Identification of Saimaa ringed seal individuals using transfer learning E Nepovinnykh, T Eerola, H Kälviäinen, G Radchenko Advanced Concepts for Intelligent Vision Systems: 19th International …, 2018 | 39 | 2018 |
| SealID: Saimaa ringed seal re-identification dataset E Nepovinnykh, T Eerola, V Biard, P Mutka, M Niemi, M Kunnasranta, ... Sensors 22 (19), 7602, 2022 | 34 | 2022 |
| Eden: Deep feature distribution pooling for saimaa ringed seals pattern matching I Chelak, E Nepovinnykh, T Eerola, H Kälviäinen, I Belykh International Conference Cyber-Physical Systems and Control, 141-150, 2021 | 16 | 2021 |
| NORPPA: Novel ringed seal re-identification by pelage pattern aggregation E Nepovinnykh, T Eerola, H Kälviäinen, I Chelak Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 14 | 2024 |
| Matching individual Ladoga ringed seals across short-term image sequences E Nepovinnykh, I Chelak, A Lushpanov, T Eerola, H Kälviäinen, ... Mammalian Biology 102 (3), 957-972, 2022 | 14 | 2022 |
| Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study EA Nepovinnykh, GI Radchenko 2016 39th International Convention on Information and Communication …, 2016 | 11 | 2016 |
| Re-identification of saimaa ringed seals from image sequences E Nepovinnykh, A Vilkman, T Eerola, H Kälviäinen Scandinavian conference on image analysis, 111-125, 2023 | 9 | 2023 |
| Species-agnostic patterned animal re-identification by aggregating deep local features E Nepovinnykh, I Chelak, T Eerola, V Immonen, H Kälviäinen, ... International Journal of Computer Vision 132 (9), 4003-4018, 2024 | 7 | 2024 |
| Developing a parking monitoring system based on the analysis of images from an outdoor surveillance camera IV Sukhinskiy, EA Nepovinnykh, GI Radchenko 2016 39th International Convention on Information and Communication …, 2016 | 6 | 2016 |
| Combining feature aggregation and geometric similarity for re-identification of patterned animals V Immonen, E Nepovinnykh, T Eerola, CV Stewart, H Kälviäinen arXiv preprint arXiv:2308.06335, 2023 | 3 | 2023 |
| Understanding the Impact of Training Set Size on Animal Re-identification A Algasov, E Nepovinnykh, T Eerola, H Kälviäinen, CV Stewart, ... arXiv preprint arXiv:2405.15976, 2024 | 1 | 2024 |
| Saimaa ringed seal fur pattern extraction for identification purposes E Nepovinnykh | 1 | 2017 |
| Re‐identification of patterned animals by multi‐image feature aggregation and geometric similarity E Nepovinnykh, V Immonen, T Eerola, CV Stewart, H Kälviäinen IET Computer Vision, 2025 | | 2025 |
| Automatic image-based re-identification of ringed seals E Nepovinnykh Lappeenranta-Lahti University of Technology LUT, 2022 | | 2022 |
| Matching individual Ladoga ringed seals across short-term image sequences (vol 102, pg 957, 2022) E Nepovinnykh MAMMALIAN BIOLOGY 102 (3), 1045-1045, 2022 | | 2022 |
Tuomas EerolaLappeenranta-Lahti University of Technology LUTΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα lut.fi
