Kim Bjerge

According to our database, Kim Bjerge authored at least 12 papers between 2010 and 2024.

Collaborative distances:

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

2024

Computer vision and deep learning in insects for food and feed production: A review.

Sarah Nawoya, Frank Ssemakula, Roseline Akol, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Cosmas Mwikirize, Andrew Katumba, Grum Gebreyesus

Comput. Electron. Agric., January, 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 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

Object Detection of Small Insects in Time-Lapse Camera Recordings.

Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft

Sensors, August, 2023

2022

Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings.

Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft

CoRR, 2022

2021

A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design.

Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen

Microprocess. Microsystems, November, 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

A generic and efficient convolutional neural network accelerator using HLS for a system on chip design.

Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen

CoRR, 2020

2019

A system on programmable chip design of a digitizer with improved trapezoidal filter validation.

Kim Bjerge, Hans O. U. Fynbo, Jacob G. Johansen

Microprocess. Microsystems, 2019

A computer vision system to monitor the infestation level of <i>Varroa destructor</i> in a honeybee colony.

Kim Bjerge, Carsten Eie Frigaard, Peter Høgh Mikkelsen, Thomas Holm Nielsen, Michael Misbih, Per Kryger

Comput. Electron. Agric., 2019

2010

A Living Laboratory Exploring Mobile Support for Everyday Life with Diabetes.

Anne Marie Kanstrup, Kim Bjerge, Jens Enevold Kristensen

Wirel. Pers. Commun., 2010