Kim Bjerge

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Deep Image Clustering with Model-Agnostic Meta-Learning.
VISIGRAPP (2): VISAPP
Kim Bjerge, Paul Bodesheim, Henrik Karstoft
2025 J jnl
Emerging technologies for fast determination of nutritional quality and safety of insects for food and feed: A review.
Comput. Electron. Agric.
Frank Ssemakula, Sarah Nawoya, Catherine Nkirote Kunyanga, Roseline Akol, Dorothy Nakimbugwe, Rawlynce Cheruiyot Bett, Henrik Karstoft, Kim Bjerge, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus
2024 J jnl
A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments.
Ecol. Informatics
Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke Thomas Høye
2024 J jnl
Computer vision and deep learning in insects for food and feed production: A review.
Comput. Electron. Agric.
Sarah Nawoya, Frank Ssemakula, Roseline Akol, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Cosmas Mwikirize, Andrew Katumba, Grum Gebreyesus
2024 — conf
Few-Shot Learning with Novelty Detection.
DeLTA (1)
Kim Bjerge, Paul Bodesheim, Henrik Karstoft
2024 — conf
Insect Identification in the Wild: The AMI Dataset.
ECCV (37)
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
2024 J jnl
Insect Identification in the Wild: The AMI Dataset.
CoRR
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
2023 J jnl
Hierarchical classification of insects with multitask learning and anomaly detection.
Ecol. Informatics
Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M. R. Mann, Toke Thomas Høye, Mads Dyrmann, Henrik Karstoft
2023 J jnl
Object Detection of Small Insects in Time-Lapse Camera Recordings.
Sensors
Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft
2022 J jnl
Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings.
CoRR
Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft
2021 J jnl
A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design.
Microprocess. Microsystems
Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen
2021 J jnl
An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning.
Sensors
Kim Bjerge, Jakob Bonde Nielsen, Martin Videbæk Sepstrup, Flemming Helsing-Nielsen, Toke Thomas Høye
2021 J jnl
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.
Sensors
Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge
2020 J jnl
A generic and efficient convolutional neural network accelerator using HLS for a system on chip design.
CoRR
Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen
2019 J jnl
A computer vision system to monitor the infestation level of
Comput. Electron. Agric.
Kim Bjerge, Carsten Eie Frigaard, Peter Høgh Mikkelsen, Thomas Holm Nielsen, Michael Misbih, Per Kryger
2019 J jnl
A system on programmable chip design of a digitizer with improved trapezoidal filter validation.
Microprocess. Microsystems
Kim Bjerge, Hans O. U. Fynbo, Jacob G. Johansen
2010 J jnl
A Living Laboratory Exploring Mobile Support for Everyday Life with Diabetes.
Wirel. Pers. Commun.
Anne Marie Kanstrup, Kim Bjerge, Jens Enevold Kristensen