Klaas Dijkstra

14 papers B 3Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards.
CoRR
Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra
2023 — conf
Identification of Potato Virus Y in Potato Plants Using Deep Learning and GradCAM Verification.
IntelliSys (2)
Roy Voetman, Willem Dijkstra, Jeroen E. Wolters, Klaas Dijkstra
2023 J jnl
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models.
CoRR
Roy Voetman, Maya Aghaei, Klaas Dijkstra
2023 — conf
Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-Tuning.
CAIP (1)
Roy Voetman, Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra
2023 — conf
Using Simulated Data for Deep-Learning Based Real-World Apple Detection.
IntelliSys (2)
Dylan Hasperhoven, Maya Aghaei, Klaas Dijkstra
2022 B conf
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation.
ICIP
Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra
2022 J jnl
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation.
CoRR
Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra
2022 J jnl
On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging.
CoRR
Klaas Dijkstra, Maya Aghaei, Femke Jaarsma, Martin Dijkstra, Rudy Folkersma, Jan Jager, Jaap van de Loosdrecht
2021 J jnl
CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting.
Neurocomputing
Klaas Dijkstra, Jaap van de Loosdrecht, Waatze A. Atsma, Lambert R. B. Schomaker, Marco A. Wiering
2019 J jnl
Hyperspectral demosaicking and crosstalk correction using deep learning.
Mach. Vis. Appl.
Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering
2018 — conf
CentroidNet: A Deep Neural Network for Joint Object Localization and Counting.
ECML/PKDD (3)
Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering
2018 — conf
Extra Domain Data Generation with Generative Adversarial Nets.
SSCI
Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering
2017 B conf
Hyper-spectral frequency selection for the classification of vegetation diseases.
ESANN
Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering
2013 B conf
Prior knowledge in an end-user trainable machine vision framework.
ESANN
Klaas Dijkstra, Walter Jansen, Jaap van de Loosdrecht