Recent publications
- Van de Loosdrecht, J., 2022. Farewell lecture professor Jaap van de Loosdrecht.
- Dijkstra, K., Aghaei, M., Dijkstra, Jaarsma, F.,Dijkstra, M, Folkersma, R., Jager, J., Van de Loosdrecht, J., 2022. On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging Computer Vision and Pattern Recognition, arXiv.
- Martinez, G.,Aghaei, M., Dijkstra, M, Nagarajan, B., Jaarsma, F., Van de Loosdrecht, J., Radeva, P., Dijkstra, K., 2022. Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation, ICIP 2022, arXiv.
- Dijkstra, K., Van de Loosdrecht, J., Atsma, W.A., Schomaker, L.R.B. and Wiering, M.A., 2021. CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting Neurocomputing 423 (2021) p 490-505, Elsevier.
- Husson, E., 2019. Veel potentie voor Deep Learning in robotica, PT Industrieel Management.
- Van de Loosdrecht, J. and Dijkstra, K., 2018. Visuele inspecties in de landbouw, Bundel Vital Regions, pp. 277-281. NHL Stenden Unversity of applied sciences.
- Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2018. CentroidNet: A Deep Neural Network for Joint Object Localization and Counting, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin.
- Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2018. Hyperspectral demosaicking and crosstalk correction using deep learning, Machine Vision and Applications.
- Van de Loosdrecht, J., Dijkstra, K., 2018. Visuele inspecties in de landbouw; de kiem voor vruchtbaar onderzoek, Vital Regions, samen bundelen van praktijkgerichtonderzoek, pp. 277-81. Eburon, Delft. ISBN 987-94-6301184-6.
- Van de Loosdrecht, J. et al., 2018. Computer Vision course, [online] Available at: http://www.vdlmv.nl/course.
- Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2017b. Hyper-spectral frequency selection for classification of vegetation diseases, [paper] 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 26-28 April 2017.
- Dijkstra, K., Van de Loosdrecht, J., Schomaker, L.R.B. and Wiering, M.A., 2017a. Hyper-spectral frequency selection for classification of vegetation diseases, [poster] 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 26-28 April 2017.
- Van de Loosdrecht, J., 2015. Onderzoeken, onderwijzen en ondernemen, zo dat het klikt zó dat ‘het klikt’ [Inauguration speech], 2015 NHL Hogeschool.
- De Boer, J., Junyent Barbany, M.,Dijkstra, M.R., Dijkstra, K. and Van de Loosdrecht, J., 2015. Twirre V2: Evolution of an architecture for automated mini-UAVs using interchangeable commodity components(paper), 2015 International Micro Air Vehicle Conference and Competition (IMAV 2015), RWTH, Aachen.
- Van de Loosdrecht, J. et al., 2014. Twirre: Architecture for autonomous mini-UAVs using interchangeable commodity components (paper), 2014 International Micro Air Vehicle Conference and Competition (IMAV 2014), TU Delft.
- Van de Loosdrecht, J. et al., 2014. Twirre: Architecture for autonomous mini-UAVs using interchangeable commodity components (poster), 2014 International Micro Air Vehicle Conference and Competition (IMAV 2014), TU Delft.
- Van de Loosdrecht, J. and Dijkstra, K., 2014. More Power: Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware, inVision 2014 (1), TeDo-Verlag, Germany.
- Van de Loosdrecht, J., 2013. Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware, [thesis] Limerick Institute of Technology, Ireland.
- Dijkstra, K., Jansen, W. and Van de Loosdrecht, J., 2013a. Prior knowledge in an end-user trainable machine vision framework, [paper] 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 24-26 April 2013.
- Dijkstra, K., Jansen, W. and Van de Loosdrecht, J., 2013b. Prior knowledge in an end-user trainable machine vision framework, [poster] 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 24-26 April 2013.
- Dijkstra, K., Berntsen, M., Van de Loosdrecht, J. and Jansen, W., 2013. End-user trainable automatic antibiotic-susceptibility testing by disc diffusion using machine vision, [poster] 23rd European Congress of Clinical Microbiology and Infectious Diseases, Berlin 27-30 April 2013.
- Van de Loosdrecht, J., 2013. Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware, Nationaal Informatica Onderwijs Congres (NIOC), Arnhem 4-5 April 2013.
- Van de Loosdrecht, J., Van Althuis, J., Gunsing, J., Telgen, D., Stappers, M. and Klijn, P., 2013. Focus on image sensors, Mikroniek 2013 (5).