Tuomas Eerola

Tuomas Eerola

Lappeenrannan teknillinen yliopisto

H-index: 17

Europe-Finland

About Tuomas Eerola

Tuomas Eerola, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at Lappeenrannan teknillinen yliopisto, specializes in the field of Image processing, machine vision, pattern recognition, image quality.

His recent articles reflect a diverse array of research interests and contributions to the field:

DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation

NORPPA: novel ringed seal re-identification by pelage pattern aggregation

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

Survey of automatic plankton image recognition: Challenges, existing solutions and future perspectives

Toward phytoplankton parasite detection using autoencoders

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

Re-identification of saimaa ringed seals from image sequences

SealID: Saimaa ringed seal re-identification dataset

Tuomas Eerola Information

University

Position

___

Citations(all)

885

Citations(since 2020)

573

Cited By

460

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

30

i10Index(since 2020)

18

Email

University Profile Page

Lappeenrannan teknillinen yliopisto

Google Scholar

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Tuomas Eerola Skills & Research Interests

Image processing

machine vision

pattern recognition

image quality

Top articles of Tuomas Eerola

Title

Journal

Author(s)

Publication Date

DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation

arXiv preprint arXiv:2402.05615

Daniel Batrakhanov

Tuomas Eerola

Kaisa Kraft

Lumi Haraguchi

Lasse Lensu

...

2024/2/8

NORPPA: novel ringed seal re-identification by pelage pattern aggregation

Ekaterina Nepovinnykh

Tuomas Eerola

Heikki Kälviäinen

Ilia Chelak

2024

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

International Journal of Computer Vision

Ekaterina Nepovinnykh

Ilia Chelak

Tuomas Eerola

Veikka Immonen

Heikki Kälviäinen

...

2024/4/30

Survey of automatic plankton image recognition: Challenges, existing solutions and future perspectives

Artificial Intelligence Review

Tuomas Eerola

Daniel Batrakhanov

Nastaran Vatankhah Barazandeh

Kaisa Kraft

Lumi Haraguchi

...

2024/4/12

Toward phytoplankton parasite detection using autoencoders

Machine Vision and Applications

Simon Bilik

Daniel Batrakhanov

Tuomas Eerola

Lumi Haraguchi

Kaisa Kraft

...

2023

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

arXiv preprint arXiv:2308.06335

Veikka Immonen

Ekaterina Nepovinnykh

Tuomas Eerola

Charles V Stewart

Heikki Kälviäinen

2023/8/11

Re-identification of saimaa ringed seals from image sequences

Ekaterina Nepovinnykh

Antti Vilkman

Tuomas Eerola

Heikki Kälviäinen

2023/4/18

SealID: Saimaa ringed seal re-identification dataset

Sensors

Ekaterina Nepovinnykh

Tuomas Eerola

Vincent Biard

Piia Mutka

Marja Niemi

...

2022/10/7

Open-Set Plankton Recognition Using Similarity Learning

Ola Badreldeen Bdawy Mohamed

Tuomas Eerola

Kaisa Kraft

Lasse Lensu

Heikki Kälviäinen

2022/10/3

Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks

Frontiers in Marine Science

Kaisa Kraft

Otso Velhonoja

Tuomas Eerola

Sanna Suikkanen

Timo Tamminen

...

2022/9/2

Matching individual Ladoga ringed seals across short-term image sequences

Mammalian Biology

Ekaterina Nepovinnykh

Ilia Chelak

Andrei Lushpanov

Tuomas Eerola

Heikki Kälviäinen

...

2022/6

Kaisa Kraft1, Otso Velhonoja1, Tuomas Eerola2, Sanna Suikkanen1, Timo Tamminen1, Lumi Haraguchi1, Pasi Ylöstalo1, Sami Kielosto1, Milla Johansson3, Lasse Lensu2, Heikki …

K Kraft

O Velhonoja

T Eerola

S Suikkanen

T Tamminen

...

2022

Virtual sawing using generative adversarial networks

Daniel Batrakhanov

Fedor Zolotarev

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

2021/12/9

On De-Interlacing and Sub-Pixel Precision Tracking

Aakif Nawaz

Toni Kuronen

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

2021/12/9

EDEN: deep feature distribution pooling for Saimaa ringed seals pattern matching

Ilia Chelak

Ekaterina Nepovinnykh

Tuomas Eerola

Heikki Kälviäinen

Igor Belykh

2021/6/29

Plankton recognition in images with varying size

Jaroslav Bureš

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

Pavel Zemčík

2021

Modelling internal knot distribution using external log features

Computers and Electronics in Agriculture

Fedor Zolotarev

Tuomas Eerola

Lasse Lensu

Heikki Kälviäinen

Tapio Helin

...

2020/12/1

Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process

Journal of Visual Communication and Image Representation

Sahar Zafari

Mariia Murashkina

Tuomas Eerola

Jouni Sampo

Heikki Kälviäinen

...

2020/11/1

Siamese network based pelage pattern matching for ringed seal re-identification

Ekaterina Nepovinnykh

Tuomas Eerola

Heikki Kalviainen

2020

3d hand movement measurement framework for studying human-computer interaction

Toni Kuronen

Tuomas Eerola

Lasse Lensu

Jukka Häkkinen

Heikki Kälviäinen

2020

See List of Professors in Tuomas Eerola University(Lappeenrannan teknillinen yliopisto)

Co-Authors

H-index: 94
Jiri Matas

Jiri Matas

Ceské vysoké ucení technické v Praze

H-index: 41
heikki haario

heikki haario

Lappeenrannan teknillinen yliopisto

H-index: 36
Heikki Kälviäinen

Heikki Kälviäinen

Lappeenrannan teknillinen yliopisto

H-index: 30
Göte Nyman

Göte Nyman

Helsingin yliopisto

H-index: 29
Jukka Häkkinen

Jukka Häkkinen

Helsingin yliopisto

H-index: 23
Pavel Zemcik

Pavel Zemcik

Vysoké ucení technické v Brne

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