Prior knowledge in an end-user trainable machine vision framework. - Klaas Dijkstra; Walter Jansen; Jaap van de Loosdrecht (ESANN, 2013)

Hyper-spectral frequency selection for the classification of vegetation diseases. - Klaas Dijkstra; Jaap van de Loosdrecht; Lambert Schomaker; Marco A. Wiering (ESANN, 2017)

CentroidNet: A Deep Neural Network for Joint Object Localization and Counting. - Klaas Dijkstra; Jaap van de Loosdrecht; Lambert R. B. Schomaker; Marco A. Wiering (ECML/PKDD (3), 2018)

Extra Domain Data Generation with Generative Adversarial Nets. - Luuk Boulogne; Klaas Dijkstra; Marco A. Wiering (SSCI, 2018)

Hyperspectral demosaicking and crosstalk correction using deep learning. - Klaas Dijkstra; Jaap van de Loosdrecht; Lambert R. B. Schomaker; Marco A. Wiering (Mach. Vis. Appl., 2019)

CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting. - Klaas Dijkstra; Jaap van de Loosdrecht; Waatze A. Atsma; Lambert R. B. Schomaker; Marco A. Wiering (Neurocomputing, 2021)

Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation. - Guillem Martinez; Maya Aghaei; Martin Dijkstra; Bhalaji Nagarajan; Femke Jaarsma; Jaap van de Loosdrecht; Petia Radeva; Klaas Dijkstra (ICIP, 2022)

On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging. - Klaas Dijkstra; Maya Aghaei; Femke Jaarsma; Martin Dijkstra; Rudy Folkersma; Jan Jager; Jaap van de Loosdrecht (CoRR, 2022)

Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-Tuning. - Roy Voetman; Alexander van Meekeren; Maya Aghaei; Klaas Dijkstra (CAIP (1), 2023)

Using Simulated Data for Deep-Learning Based Real-World Apple Detection. - Dylan Hasperhoven; Maya Aghaei; Klaas Dijkstra (IntelliSys (2), 2023)

Identification of Potato Virus Y in Potato Plants Using Deep Learning and GradCAM Verification. - Roy Voetman; Willem Dijkstra; Jeroen E. Wolters; Klaas Dijkstra (IntelliSys (2), 2023)

The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models. - Roy Voetman; Maya Aghaei; Klaas Dijkstra (CoRR, 2023)

Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards. - Alexander van Meekeren; Maya Aghaei; Klaas Dijkstra (CoRR, 2023)