Rick Groenendijk

According to our database, Rick Groenendijk authored at least 6 papers between 2018 and 2024.

Collaborative distances:

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

2024

HaarNet: Large-Scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation.

Rick Groenendijk, Leo Dorst, Theo Gevers

Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

2023

Geometric Back-Propagation in Morphological Neural Networks.

Rick Groenendijk, Leo Dorst, Theo Gevers

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

2022

MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs.

Rick Groenendijk, Leo Dorst, Theo Gevers

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Multi-Loss Weighting with Coefficient of Variations.

Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

On the benefit of adversarial training for monocular depth estimation.

Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink

Comput. Vis. Image Underst., 2020

2018

Benefits of Social Learning in Physical Robots.

Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018