Rick Groenendijk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Depth Estimation

Top Venues

Publications

Rick Groenendijk, Leo Dorst, Theo Gevers
HaarNet: Large-Scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation. DGMM (2024)
Rick Groenendijk, Leo Dorst, Theo Gevers
HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation. CoRR (2023)
Rick Groenendijk, Leo Dorst, Theo Gevers
Geometric Back-Propagation in Morphological Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Rick Groenendijk, Leo Dorst, Theo Gevers
MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs. BMVC (2022)
Rick Groenendijk, Leo Dorst, Theo Gevers
MorphPool: Efficient Non-linear Pooling & Unpooling in CNNs. CoRR (2022)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
Multi-Loss Weighting with Coefficient of Variations. WACV (2021)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
Multi-Loss Weighting with Coefficient of Variations. CoRR (2020)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
On the benefit of adversarial training for monocular depth estimation. Comput. Vis. Image Underst. 190 (2020)
Rick Groenendijk, Sezer Karaoglu, Theo Gevers, Thomas Mensink
On the Benefit of Adversarial Training for Monocular Depth Estimation. CoRR (2019)
Jacqueline Heinerman, Bart Bussmann, Rick Groenendijk, Emile van Krieken, Jesper Slik, Alessandro Tezza, Evert Haasdijk, A. E. Eiben
Benefits of Social Learning in Physical Robots. SSCI (2018)