Toke Thomas Høye

According to our database, Toke Thomas Høye authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

Computer vision-based estimation of invertebrate biomass.

Mikko Impiö, Philipp M. Rehsen, Jarrett Blair, Cecilie Mielec, Arne J. Beermann, Florian Leese, Toke Thomas Høye, Jenni Raitoharju

CoRR, March, 2026

InsectRoleVision: A computer vision system to study arthropod diversity and functional roles.

Song-Quan Ong, Min-Hui Lim, Kim Bjerge, Francisco Javier Peris-Felipo, Rob Lind, Toke Thomas Høye

Ecol. Informatics, 2026

2025

Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images.

Vincent Espitalier, Jean-Christophe Lombardo, Hervé Goëau, Christophe Botella, Toke Thomas Høye, Mads Dyrmann, Pierre Bonnet, Alexis Joly

Ecol. Informatics, 2025

Bridging Domain Gaps for Fine-Grained Moth Classification Through Expert-Informed Adaptation and Foundation Model Priors.

Ross Gardiner, Guillaume Mougeot, Sareh Rowlands, Benno I. Simmons, Flemming Helsing, Toke Thomas Høye

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments.

Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke Thomas Høye

Ecol. Informatics, 2024

Insect Identification in the Wild: The AMI Dataset.

Aditya Jain, Fagner Cunha, Michael James Bunsen, Juan Sebastián Cañas, Léonard Pasi, Nathan Pinoy, Flemming Helsing, JoAnne Russo, Marc Botham, Michael Sabourin, Jonathan Fréchette, Alexandre Anctil, Yacksecari Lopez, Eduardo Navarro, Filonila Perez Pimentel, Ana Cecilia Zamora, José Alejandro Ramirez Silva, Jonathan Gagnon, Tom A. August, Kim Bjerge, Alba Gomez Segura, Marc Bélisle, Yves Basset, Kent P. McFarland, David Roy, Toke Thomas Høye, Maxim Larrivée, David Rolnick

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Hierarchical classification of insects with multitask learning and anomaly detection.

Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M. R. Mann, Toke Thomas Høye, Mads Dyrmann, Henrik Karstoft

Ecol. Informatics, November, 2023

2021

Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.

Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge

Sensors, 2021

An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning.

Kim Bjerge, Jakob Bonde Nielsen, Martin Videbæk Sepstrup, Flemming Helsing-Nielsen, Toke Thomas Høye

Sensors, 2021

2020

Automatic image-based identification and biomass estimation of invertebrates.

Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Agerskov Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye

CoRR, 2020

2019

Image data used for publication "Species-level image classification with convolutional neural network enable insect identification from habitus images ".

Oskar Liset Pryds Hansen, Jens-Christian Svenning, Kent Olsen, Steen Dupont, Beulhah H. Garner, Alexandros Iosifidis, Benjamin W. Price, Toke Thomas Høye

Dataset, November, 2019

2018

Automatic Flower and Visitor Detection System.

Dat Thanh Tran, Toke Thomas Høye, Moncef Gabbouj, Alexandros Iosifidis

Proceedings of the 26th European Signal Processing Conference, 2018