Klaas Dijkstra

According to our database, Klaas Dijkstra authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards.

Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra

CoRR, 2023

The Big Data Myth: Using Diffusion Models for Dataset Generation to Train Deep Detection Models.

Roy Voetman, Maya Aghaei, Klaas Dijkstra

CoRR, 2023

Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-Tuning.

Roy Voetman, Alexander van Meekeren, Maya Aghaei, Klaas Dijkstra

Proceedings of the Computer Analysis of Images and Patterns, 2023

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

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

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

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

2019

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

2018

Extra Domain Data Generation with Generative Adversarial Nets.

Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

CentroidNet: A Deep Neural Network for Joint Object Localization and Counting.

Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Hyper-spectral frequency selection for the classification of vegetation diseases.

Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2013

Prior knowledge in an end-user trainable machine vision framework.

Klaas Dijkstra, Walter Jansen, Jaap van de Loosdrecht

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013