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2020 – today
- 2024
[j9]Sarah Nawoya, Frank Ssemakula, Roseline Akol, Quentin Geissmann
, Henrik Karstoft, Kim Bjerge, Cosmas Mwikirize, Andrew Katumba, Grum Gebreyesus:
Computer vision and deep learning in insects for food and feed production: A review. Comput. Electron. Agric. 216: 108503 (2024)- [i3]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:
Insect Identification in the Wild: The AMI Dataset. CoRR abs/2406.12452 (2024) - 2023
- [j8]Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M. R. Mann, Toke Thomas Høye, Mads Dyrmann, Henrik Karstoft:
Hierarchical classification of insects with multitask learning and anomaly detection. Ecol. Informatics 77: 102278 (2023) - [j7]Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft:
Object Detection of Small Insects in Time-Lapse Camera Recordings. Sensors 23(16): 7242 (2023) - 2022
- [i2]Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft:
Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. CoRR abs/2212.00423 (2022) - 2021
- [j6]Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen:
A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design. Microprocess. Microsystems 87: 104363 (2021) - [j5]Kim Bjerge, Jakob Bonde Nielsen, Martin Videbæk Sepstrup, Flemming Helsing-Nielsen, Toke Thomas Høye:
An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning. Sensors 21(2): 343 (2021) - [j4]Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge:
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. Sensors 21(18): 6126 (2021) - 2020
- [i1]Kim Bjerge, Jonathan Schougaard, Daniel Ejnar Larsen:
A generic and efficient convolutional neural network accelerator using HLS for a system on chip design. CoRR abs/2004.13075 (2020)
2010 – 2019
- 2019
- [j3]Kim Bjerge, Carsten Eie Frigaard, Peter Høgh Mikkelsen, Thomas Holm Nielsen, Michael Misbih, Per Kryger:
A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony. Comput. Electron. Agric. 164 (2019) - [j2]Kim Bjerge, Hans O. U. Fynbo, Jacob G. Johansen:
A system on programmable chip design of a digitizer with improved trapezoidal filter validation. Microprocess. Microsystems 65: 7-13 (2019) - 2010
- [j1]Anne Marie Kanstrup, Kim Bjerge, Jens Enevold Kristensen:
A Living Laboratory Exploring Mobile Support for Everyday Life with Diabetes. Wirel. Pers. Commun. 53(3): 395-408 (2010)
Coauthor Index
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