MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets. - Remco Royen; Leon Denis; Quentin Bolsee; Pengpeng Hu; Adrian Munteanu 001 (Neural Networks, 2021)

MONO6D: Monocular Vehicle 6D Pose Estimation with 3D Priors. - Yangxintong Lyu; Remco Royen; Adrian Munteanu 001 (ICIP, 2022)

Mono6D++: Learning Point Cloud Visibility for 3D Prior-based Vehicle 6D Pose Estimation. - Yangxintong Lyu; Olivier Ducastel; Remco Royen; Adrian Munteanu 001 (EUVIP, 2023)

Improved Block Merging for 3D Point Cloud Instance Segmentation. - Leon Denis; Remco Royen; Adrian Munteanu 001 (DSP, 2023)

RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds. - Remco Royen; Adrian Munteanu 001 (ICIP, 2023)

GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning. - Leon Denis; Remco Royen; Quentin Bolsée; Nicolas Vercheval; Aleksandra Pizurica; Adrian Munteanu 001 (Sensors, 2023)

RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields. - Mihnea Bogdan Jurca; Remco Royen; Ion Giosan; Adrian Munteanu 001 (BMVC, 2024)

RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds. - Remco Royen; Kostas Pataridis; Ward van der Tempel; Adrian Munteanu 001 (ICIP, 2024)

Joint prototype and coefficient prediction for 3D instance segmentation. - Remco Royen; Leon Denis; Adrian Munteanu 001 (CoRR, 2024)

ProtoSeg: A Prototype-Based Point Cloud Instance Segmentation Method. - Remco Royen; Leon Denis; Adrian Munteanu 001 (CoRR, 2024)

W6DNet: Weakly Supervised Domain Adaptation for Monocular Vehicle 6-D Pose Estimation With 3-D Priors and Synthetic Data. - Yangxintong Lyu; Remco Royen; Adrian Munteanu 001 (IEEE Trans. Instrum. Meas., 2024)

PCGen: A Fully Parallelizable Point Cloud Generative Model. - Nicolas Vercheval; Remco Royen; Adrian Munteanu 001; Aleksandra Pizurica (Sensors, 2024)