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Henrik Karstoft
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2020 – today
- 2024
- [j27]Sarah Nawoya, Frank Ssemakula, Roseline Akol, Quentin Geissmann
, Henrik Karstoft, Kim Bjerge
Computer vision and deep learning in insects for food and feed production: A review. Comput. Electron. Agric. 216: 108503 (2024) - 2023
- [j26]Kim Bjerge
Hierarchical classification of insects with multitask learning and anomaly detection. Ecol. Informatics 77: 102278 (2023) - [j25]Kim Bjerge
Object Detection of Small Insects in Time-Lapse Camera Recordings. Sensors 23(16): 7242 (2023) - 2022
- [j24]Mikkel Fly Kragh
Predicting Embryo Viability Based on Self-Supervised Alignment of Time-Lapse Videos. IEEE Trans. Medical Imaging 41(2): 465-475 (2022) - [i5]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. CoRR abs/2202.04964 (2022) - [i4]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
- [j23]Søren Kelstrup Skovsen
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors 21(1): 175 (2021) - [j22]Sadaf Farkhani
Weed Classification Using Explainable Multi-Resolution Slot Attention. Sensors 21(20): 6705 (2021) - [j21]Andreas Holm Nielsen
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3485-3494 (2021) - [c10]René Arendt Sørensen
Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. ISCSIC 2021: 13-19 - 2020
- [j20]René Arendt Sørensen
Routing in congested baggage handling systems using deep reinforcement learning. Integr. Comput. Aided Eng. 27(2): 139-152 (2020) - [c9]Søren Skovsen
Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. ISMAR Adjunct 2020: 167-171 - [i3]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. CoRR abs/2007.07978 (2020)
2010 – 2019
- 2019
- [j19]Mikkel Fly Kragh
Automatic grading of human blastocysts from time-lapse imaging. Comput. Biol. Medicine 115 (2019) - [j18]Simon Leminen Madsen
Disentangling Information in Artificial Images of Plant Seedlings Using Semi-Supervised GAN. Remote. Sens. 11(22): 2671 (2019) - [c8]Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Morten Stigaard Laursen, René Gislum, Jørgen Eriksen, Sadaf Farkhani, Henrik Karstoft, Rasmus N. Jørgensen:
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. CVPR Workshops 2019: 2676-2684 - [c7]Anders Krogh Mortensen
The Oil Radish Growth Dataset for Semantic Segmentation and Yield Estimation. CVPR Workshops 2019: 2703-2710 - [c6]Sadaf Farkhani
Sparse-to-Dense Depth Completion in Precision Farming. ICVISP 2019: 35:1-35:5 - [i2]Peter Hviid Christiansen, Mikkel Fly Kragh, Yury Brodskiy, Henrik Karstoft:
UnsuperPoint: End-to-end Unsupervised Interest Point Detector and Descriptor. CoRR abs/1907.04011 (2019) - 2018
- [j17]Anders Krogh Mortensen
Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation. Comput. Electron. Agric. 154: 373-381 (2018) - [j16]Timo Korthals
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers Robotics AI 5: 28 (2018) - 2017
- [j15]Anders Krogh Mortensen
Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. J. Imaging 3(4): 59 (2017) - [j14]Mikkel Kragh Hansen
FieldSAFE: Dataset for Obstacle Detection in Agriculture. Sensors 17(11): 2579 (2017) - [j13]Søren Skovsen
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors 17(12): 2930 (2017) - [i1]Mikkel Kragh Hansen
FieldSAFE: Dataset for Obstacle Detection in Agriculture. CoRR abs/1709.03526 (2017) - 2016
- [j12]Kim Arild Steen, Peter Christiansen
Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture. J. Imaging 2(1): 6 (2016) - [j11]Peter Christiansen
DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field. Sensors 16(11): 1904 (2016) - 2015
- [j10]Gang Jun Tu, Henrik Karstoft:
Logarithmic dyadic wavelet transform with its applications in edge detection and reconstruction. Appl. Soft Comput. 26: 193-201 (2015) - [j9]Kim Arild Steen, Ole Roland Therkildsen
Detection of Bird Nests during Mechanical Weeding by Incremental Background Modeling and Visual Saliency. Sensors 15(3): 5096-5111 (2015) - [j8]Gang Jun Tu, Henrik Karstoft, Lene Juul Pedersen
Illumination and Reflectance Estimation with its Application in Foreground Detection. Sensors 15(9): 21407-21426 (2015) - [c5]Thomas Jensen, Lars J. Munkholm
Soil Surface Roughness Using Cumulated Gaussian Curvature. ICVS 2015: 533-541 - 2014
- [j7]Gang Jun Tu, Henrik Karstoft, Lene Juul Pedersen
Segmentation of sows in farrowing pens. IET Image Process. 8(1): 56-68 (2014) - [j6]Peter Christiansen
Automated Detection and Recognition of Wildlife Using Thermal Cameras. Sensors 14(8): 13778-13793 (2014) - [c4]Daniel Siboska, Henrik Karstoft, Henrik Pedersen:
Synchronization of Electroencephalography and Eye Tracking using Global Illumination Changes. BIOSIGNALS 2014: 55-60 - [c3]Daniel Siboska, Henrik Karstoft:
Using Illumination Changes to Synchronize Eye Tracking in Visual Paradigms. BIOSTEC (Selected Papers) 2014: 289-298 - [c2]Kim Arild Steen, Henrik Karstoft:
The acoustic adaptive frightening device-framework and algorithms. GlobalSIP 2014: 1117-1121 - 2013
- [j5]Kim Arild Steen, Ole Roland Therkildsen
Audio-Visual Recognition of Goose Flocking Behavior. Int. J. Pattern Recognit. Artif. Intell. 27(7) (2013) - [j4]Michael Nygaard Pedersen, Jürgen Letschnik, Lars Schelde, Henrik Karstoft, Fritz Schurig, Ulrich Walter:
Three-dimensional radiation pattern measurement strategy for ground station antennas. Int. J. Satell. Commun. Netw. 31(1): 39-50 (2013) - 2012
- [j3]Kim Arild Steen, Ole Roland Therkildsen
A Vocal-Based Analytical Method for Goose Behaviour Recognition. Sensors 12(3): 3773-3788 (2012) - [j2]Alfredo Chávez, Henrik Karstoft:
Improvement of KinectTM Sensor Capabilities by Fusion with Laser Sensing Data Using Octree. Sensors 12(4): 3868-3878 (2012) - [j1]Simon Lind Kappel
A Novel Method for Measuring In-Shoe Navicular Drop during Gait. Sensors 12(9): 11697-11711 (2012) - [c1]Jakob Juul Larsen, Lars G. Johansen, Henrik Karstoft:
Electrocardiogram Derived Respiration using an Evolutionary Algorithm. BIOSIGNALS 2012: 147-152
Coauthor Index
aka: Rasmus Nyholm Jørgensen
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last updated on 2024-10-07 21:25 CEST by the dblp team
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