Henrik Karstoft
Orcid: 0000-0003-3739-8983
According to our database1,
Henrik Karstoft
authored at least 40 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Electron. Agric., January, 2024
2023
Hierarchical classification of insects with multitask learning and anomaly detection.
Ecol. Informatics, November, 2023
Sensors, August, 2023
2022
IEEE Trans. Medical Imaging, 2022
CoRR, 2022
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data.
CoRR, 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks.
Sensors, 2021
Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021
2020
Integr. Comput. Aided Eng., 2020
Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition.
Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2020
2019
Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN.
Remote. Sens., 2019
CoRR, 2019
Comput. Biol. Medicine, 2019
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation.
Frontiers Robotics AI, 2018
Comput. Electron. Agric., 2018
2017
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks.
Sensors, 2017
Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis.
J. Imaging, 2017
2016
DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field.
Sensors, 2016
Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture.
J. Imaging, 2016
2015
Illumination and Reflectance Estimation with its Application in Foreground Detection.
Sensors, 2015
Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency.
Sensors, 2015
Logarithmic dyadic wavelet transform with its applications in edge detection and reconstruction.
Appl. Soft Comput., 2015
Proceedings of the Computer Vision Systems - 10th International Conference, 2015
2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Synchronization of Electroencephalography and Eye Tracking using Global Illumination Changes.
Proceedings of the BIOSIGNALS 2014, 2014
Proceedings of the Biomedical Engineering Systems and Technologies, 2014
2013
Three-dimensional radiation pattern measurement strategy for ground station antennas.
Int. J. Satell. Commun. Netw., 2013
Int. J. Pattern Recognit. Artif. Intell., 2013
2012
Improvement of Kinect<sub><i>TM</i></sub> Sensor Capabilities by Fusion with Laser Sensing Data Using Octree.
Sensors, 2012
Electrocardiogram Derived Respiration using an Evolutionary Algorithm.
Proceedings of the BIOSIGNALS 2012, 2012