Ekaterina A. Nepovinnykh

According to our database, Ekaterina A. Nepovinnykh authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Species-Agnostic Patterned Animal Re-identification by Aggregating Deep Local Features.

Ekaterina A. Nepovinnykh, Ilja Chelak, Tuomas Eerola, Veikka Immonen, Heikki Kälviäinen, Maksim Kholiavchenko, Charles V. Stewart

Int. J. Comput. Vis., September, 2024

Understanding the Impact of Training Set Size on Animal Re-identification.

Aleksandr Algasov, Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Charles V. Stewart, Lasha Otarashvili, Jason A. Holmberg

CoRR, 2024

NORPPA: NOvel Ringed Seal Re-Identification by Pelage Pattern Aggregation.

Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Ilja Chelak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023

Combining feature aggregation and geometric similarity for re-identification of patterned animals.

Veikka Immonen, Ekaterina A. Nepovinnykh, Tuomas Eerola, Charles V. Stewart, Heikki Kälviäinen

CoRR, 2023

Re-identification of Saimaa Ringed Seals from Image Sequences.

Ekaterina A. Nepovinnykh, Antti Vilkman, Tuomas Eerola, Heikki Kälviäinen

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

2022

SealID: Saimaa Ringed Seal Re-Identification Dataset.

Ekaterina A. Nepovinnykh, Tuomas Eerola, Vincent Biard, Piia Mutka, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen

Sensors, 2022

2021

EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching.

Ilja Chelak, Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Igor Belykh

CoRR, 2021

2020

Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification.

Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

2018

Identification of Saimaa Ringed Seal Individuals Using Transfer Learning.

Ekaterina A. Nepovinnykh, Tuomas Eerola, Heikki Kälviäinen, Gleb I. Radchenko

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2016

Developing a Parking Monitoring System based on the analysis of images from an outdoor surveillance camera.

I. V. Sukhinskiy, Ekaterina A. Nepovinnykh, Gleb I. Radchenko

Proceedings of the 39th International Convention on Information and Communication Technology, 2016

Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study.

Ekaterina A. Nepovinnykh, Gleb I. Radchenko

Proceedings of the 39th International Convention on Information and Communication Technology, 2016