Tuomas Eerola

According to our database, Tuomas Eerola authored at least 80 papers between 2004 and 2024.

Collaborative distances:

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

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

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

Tuomas Eerola, Daniel Batrakhanov, Nastaran Vatankhah Barazandeh, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, Jukka Seppälä, Timo Tamminen, Heikki Kälviäinen

Artif. Intell. Rev., May, 2024

onsetsync: An R Package for Onset Synchrony Analysis.

Tuomas Eerola, Martin Clayton

J. Open Source Softw., January, 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

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

Daniel Batrakhanov, Tuomas Eerola, Kaisa Kraft, Lumi Haraguchi, Lasse Lensu, Sanna Suikkanen, María Teresa Camarena-Gómez, Jukka Seppälä, Heikki Kälviäinen

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

Toward phytoplankton parasite detection using autoencoders.

Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák

Mach. Vis. Appl., November, 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

Towards Phytoplankton Parasite Detection Using Autoencoders.

Simon Bilik, Daniel Batrakhanov, Tuomas Eerola, Lumi Haraguchi, Kaisa Kraft, Silke Van den Wyngaert, Jonna Kangas, Conny Sjöqvist, Karin Madsen, Lasse Lensu, Heikki Kälviäinen, Karel Horák

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

Open-Set Plankton Recognition Using Similarity Learning.

Ola Badreldeen Bdawy Mohamed, Tuomas Eerola, Kaisa Kraft, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

2021

Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications.

Juan Sebastián Gómez Cañón, Estefanía Cano, Tuomas Eerola, Perfecto Herrera, Xiao Hu, Yi-Hsuan Yang, Emilia Gómez

IEEE Signal Process. Mag., 2021

EmoteControl: an interactive system for real-time control of emotional expression in music.

Annaliese Micallef Grimaud, Tuomas Eerola

Pers. Ubiquitous Comput., 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

On De-Interlacing and Sub-Pixel Precision Tracking.

Aakif Nawaz, Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

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

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

Sahar F. Zafar, Mariia Murashkina, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

J. Vis. Commun. Image Represent., 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

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

Plankton Recognition in Images with Varying Size.

Jaroslav Bures, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Pavel Zemcík

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Fine-Grained Wood Species Identification Using Convolutional Neural Networks.

Dmitrii Shustrov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario

Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019

Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images.

Sahar F. Zafar, Mazen Diab, Tuomas Eerola, Summer E. Hanson, Gregory P. Reece, Gary J. Whitman, Mia K. Markey, Krishnaswamy Ravi-Chandar, Alan C. Bovik, Heikki Kälviäinen

Proceedings of the Advances in Visual Computing, 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

Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound.

Sahar F. Zafar, Tuomas Eerola, Paulo Ferreira, Heikki Kälviäinen, Alan C. Bovik

Proceedings of the Computer Analysis of Images and Patterns, 2019

EmoteControl: A System for Live-Manipulation of Emotional Cues in Music.

Annaliese Micallef Grimaud, Tuomas Eerola, Nick Collins

Proceedings of the 14th International Audio Mostly Conference: A Journey in Sound, 2019

2018

Comparison of bubble detectors and size distribution estimators.

Jarmo Ilonen, Roman Juránek, Tuomas Eerola, Lasse Lensu, Markéta Dubská, Pavel Zemcík, Heikki Kälviäinen

Pattern Recognit. Lett., 2018

Automatic individual identification of Saimaa ringed seals.

Tina Chehrsimin, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen

IET Comput. Vis., 2018

Fish Detection from Low Visibility Underwater Videos.

Violetta Shevchenko, Tuomas Eerola, Arto Kaarna

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks.

Nikolay Rudakov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Comparison of Co-segmentation Methods for Wildlife Photo-identification.

Anastasia Popova, Tuomas Eerola, Heikki Kälviäinen

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 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

Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment.

Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017

Extracting Coarse Body Movements from Video in Music Performance: A Comparison of Automated Computer Vision Techniques with Motion Capture Data.

Kelly Jakubowski, Tuomas Eerola, Paolo Alborno, Gualtiero Volpe, Antonio Camurri, Martin Clayton

Frontiers Digit. Humanit., 2017

Simultaneous Camera Calibration and Temporal Alignment of 2D and 3D Trajectories.

Joni Herttuainen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies.

Vadim Lyubanenko, Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Jukka Häkkinen

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016

Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation.

Pasi Saari, György Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler

IEEE Trans. Affect. Comput., 2016

Detection of bubbles as concentric circular arrangements.

Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Mach. Vis. Appl., 2016

Voice and movement as predictors of gesture types and physical effort in virtual object interactions of classical Indian singing.

Stella Paschalidou, Tuomas Eerola, Martin Clayton

Proceedings of the 3rd International Symposium on Movement and Computing, 2016

Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Segmentation of Overlapping Elliptical Objects in Silhouette Images.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

IEEE Trans. Image Process., 2015

High-Speed Hand Tracking for Studying Human-Computer Interaction.

Toni Kuronen, Tuomas Eerola, Lasse Lensu, Jari Takatalo, Jukka Häkkinen, Heikki Kälviäinen

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Segmentation of Saimaa Ringed Seals for Identification Purposes.

Artem Zhelezniakov, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, Heikki Kälviäinen

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Segmentation of Partially Overlapping Nanoparticles Using Concave Points.

Sahar F. Zafar, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, Heikki Haario

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014

Semantic Computing of Moods Based on Tags in Social Media of Music.

Pasi Saari, Tuomas Eerola

IEEE Trans. Knowl. Data Eng., 2014

Study of no-reference image quality assessment algorithms on printed images.

Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Alan C. Bovik

J. Electronic Imaging, 2014

Modeling Emotions in Music: Advances in Conceptual, Contextual and Validity Issues.

Tuomas Eerola

Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Comparison of General Object Trackers for Hand Tracking in High-Speed Videos.

Ville Hiltunen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Comparison of Appearance-Based and Geometry-Based Bubble Detectors.

Nataliya Strokina, Roman Juránek, Tuomas Eerola, Lasse Lensu, Pavel Zemcík, Heikki Kälviäinen

Proceedings of the Computer Vision and Graphics - International Conference, 2014

Estimation of Bubble Size Distribution Based on Power Spectrum.

Jarmo Ilonen, Tuomas Eerola, Heikki Mutikainen, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013

Framework for developing image-based dirt particle classifiers for dry pulp sheets.

Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen

Mach. Vis. Appl., 2013

Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization.

Nataliya Strokina, Tatiana Kurakina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection.

Pasi Saari, Tuomas Eerola, György Fazekas, Mathieu Barthet, Olivier Lartillot, Mark B. Sandler

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags.

Pasi Saari, Mathieu Barthet, György Fazekas, Tuomas Eerola, Mark B. Sandler

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

2012

Modeling Listeners' Emotional Response to Music.

Tuomas Eerola

Top. Cogn. Sci., 2012

2011

Generalizability and Simplicity as Criteria in Feature Selection: Application to Mood Classification in Music.

Pasi Saari, Tuomas Eerola, Olivier Lartillot

IEEE Trans. Speech Audio Process., 2011

Bayesian network model of overall print quality: Construction and structural optimisation.

Tuomas Eerola, Lasse Lensu, Joni-Kristian Kämäräinen, Tuomas Leisti, Risto Ritala, Göte Nyman, Heikki Kälviäinen

Pattern Recognit. Lett., 2011

Design and evaluation of prosody-based non-speech audio feedback for physical training application.

Kai Tuuri, Tuomas Eerola, Antti Pirhonen

Int. J. Hum. Comput. Stud., 2011

Semantic structures of timbre emerging from social and acoustic descriptions of music.

Rafael Ferrer, Tuomas Eerola

EURASIP J. Audio Speech Music. Process., 2011

Adaptive Classification of Dirt Particles in Papermaking Process.

Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Improving Particle Segmentation from Process Images with Wiener Filtering.

Lauri Laaksonen, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Semisynthetic Ground Truth for Dirt Particle Counting and Classification Methods.

Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2011), 2011

Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections.

Rafael Ferrer, Tuomas Eerola

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

AMP: Artist-based musical preferences derived from free verbal responses and social tags.

Rafael Ferrer, Tuomas Eerola

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Modeling musical attributes to characterize ensemble recordings using rhythmic audio features.

Jakob Abeßer, Olivier Lartillot, Christian Dittmar, Tuomas Eerola, Gerald Schuller

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Timbral Qualities of Semantic Structures of Music.

Rafael Ferrer, Tuomas Eerola

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Leaping across Modalities: Speed Regulation Messages in Audio and Tactile Domains.

Kai Tuuri, Tuomas Eerola, Antti Pirhonen

Proceedings of the Haptic and Audio Interaction Design - 5th International Workshop, 2010

2009

Neural Discrimination of Nonprototypical Chords in Music Experts and Laymen: An MEG Study.

Elvira Brattico, Karen Johanne Pallesen, Olga Varyagina, Christopher J. Bailey, Irina Anourova, Miika Järvenpää, Tuomas Eerola, Mari Tervaniemi

J. Cogn. Neurosci., 2009

Framework for Applying Full Reference Digital Image Quality Measures to Printed Images.

Tuomas Eerola, Joni-Kristian Kämäräinen, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models.

Tuomas Eerola, Olivier Lartillot, Petri Toiviainen

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

2008

Finding best measurable quantities for predicting human visual quality experience.

Tuomas Eerola, Joni-Kristian Kämäräinen, Tuomas Leisti, Raisa Halonen, Lasse Lensu, Heikki Kälviäinen, Pirkko Oittinen, Göte Nyman

Proceedings of the IEEE International Conference on Systems, 2008

Is there hope for predicting human visual quality experience?

Tuomas Eerola, Joni-Kristian Kämäräinen, Tuomas Leisti, Raisa Halonen, Lasse Lensu, Heikki Kälviäinen, Göte Nyman, Pirkko Oittinen

Proceedings of the IEEE International Conference on Systems, 2008

Multi-Feature Modeling of Pulse Clarity: Design, Validation and Optimization.

Olivier Lartillot, Tuomas Eerola, Petri Toiviainen, José Fornari

Proceedings of the ISMIR 2008, 2008

The Pursuit of Happiness in Music: Retrieving Valence with Contextual Music Descriptors.

José Fornari, Tuomas Eerola

Proceedings of the Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music, 2008

2007

Music cognition research amidst the boreal forest.

Petri Toiviainen, Jaakko Erkkilä, Tuomas Eerola, Geoff Luck, Olivier Lartillot

Cogn. Process., 2007

Visual Print Quality Evaluation Using Computational Features.

Tuomas Eerola, Joni-Kristian Kamarainen, Lasse Lensu, Heikki Kälviäinen

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

A Matlab Toolbox for Music Information Retrieval.

Olivier Lartillot, Petri Toiviainen, Tuomas Eerola

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2005

Classification of Musical Metre with Autocorrelation and Discriminant Functions.

Petri Toiviainen, Tuomas Eerola

Proceedings of the ISMIR 2005, 2005

2004

MIR In Matlab: The MIDI Toolbox.

Tuomas Eerola, Petri Toiviainen

Proceedings of the ISMIR 2004, 2004