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2020 – today
- 2023
[c8]Roy Voetman, Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra:
Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-Tuning. CAIP (1) 2023: 142-152- [c7]Roy Voetman, Willem Dijkstra, Jeroen E. Wolters, Klaas Dijkstra:
Identification of Potato Virus Y in Potato Plants Using Deep Learning and GradCAM Verification. IntelliSys (2) 2023: 223-244 - [c6]Dylan Hasperhoven, Maya Aghaei, Klaas Dijkstra:
Using Simulated Data for Deep-Learning Based Real-World Apple Detection. IntelliSys (2) 2023: 245-263 - [i4]Roy Voetman, Maya Aghaei, Klaas Dijkstra:
The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models. CoRR abs/2306.09762 (2023) - [i3]Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra:
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards. CoRR abs/2306.11763 (2023) - 2022
- [c5]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan
, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. ICIP 2022: 2331-2335 - [i2]Klaas Dijkstra, Maya Aghaei, Femke Jaarsma, Martin Dijkstra, Rudy Folkersma, Jan Jager, Jaap van de Loosdrecht:
On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging. CoRR abs/2203.11209 (2022) - [i1]Guillem Martinez, Maya Aghaei, Martin Dijkstra, Bhalaji Nagarajan, Femke Jaarsma, Jaap van de Loosdrecht, Petia Radeva, Klaas Dijkstra:
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. CoRR abs/2203.12350 (2022) - 2021
- [j2]Klaas Dijkstra, Jaap van de Loosdrecht, Waatze A. Atsma, Lambert R. B. Schomaker, Marco A. Wiering:
CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting. Neurocomputing 423: 490-505 (2021)
2010 – 2019
- 2019
- [j1]Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering:
Hyperspectral demosaicking and crosstalk correction using deep learning. Mach. Vis. Appl. 30(1): 1-21 (2019) - 2018
- [c4]Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering:
CentroidNet: A Deep Neural Network for Joint Object Localization and Counting. ECML/PKDD (3) 2018: 585-601 - [c3]Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering:
Extra Domain Data Generation with Generative Adversarial Nets. SSCI 2018: 1403-1410 - 2017
- [c2]Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering:
Hyper-spectral frequency selection for the classification of vegetation diseases. ESANN 2017 - 2013
- [c1]Klaas Dijkstra, Walter Jansen, Jaap van de Loosdrecht:
Prior knowledge in an end-user trainable machine vision framework. ESANN 2013
Coauthor Index
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