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Remco Royen
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2020 – today
- 2024
- [j4]Nicolas Vercheval
, Remco Royen
PCGen: A Fully Parallelizable Point Cloud Generative Model. Sensors 24(5): 1414 (2024) - [j3]Yangxintong Lyu
W6DNet: Weakly Supervised Domain Adaptation for Monocular Vehicle 6-D Pose Estimation With 3-D Priors and Synthetic Data. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [i6]Remco Royen, Adrian Munteanu:
RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds. CoRR abs/2404.06863 (2024) - [i5]Mihnea Bogdan Jurca, Remco Royen, Ion Giosan, Adrian Munteanu:
RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields. CoRR abs/2405.18033 (2024) - [i4]Remco Royen, Leon Denis, Adrian Munteanu:
Joint prototype and coefficient prediction for 3D instance segmentation. CoRR abs/2407.06958 (2024) - [i3]Leon Denis, Remco Royen, Adrian Munteanu:
Improved Block Merging for 3D Point Cloud Instance Segmentation. CoRR abs/2407.06991 (2024) - [i2]Remco Royen, Kostas Pataridis, Ward van der Tempel, Adrian Munteanu:
RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds. CoRR abs/2410.02323 (2024) - [i1]Remco Royen, Leon Denis, Adrian Munteanu:
ProtoSeg: A Prototype-Based Point Cloud Instance Segmentation Method. CoRR abs/2410.02352 (2024) - 2023
- [j2]Leon Denis
GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning. Sensors 23(19): 8130 (2023) - [c4]Yangxintong Lyu
Mono6D++: Learning Point Cloud Visibility for 3D Prior-based Vehicle 6D Pose Estimation. EUVIP 2023: 1-6 - [c3]Leon Denis
Improved Block Merging for 3D Point Cloud Instance Segmentation. DSP 2023: 1-5 - [c2]Remco Royen
RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds. ICIP 2023: 2775-2779 - 2022
- [c1]Yangxintong Lyu
MONO6D: Monocular Vehicle 6D Pose Estimation with 3D Priors. ICIP 2022: 2187-2191 - 2021
- [j1]Remco Royen
MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets. Neural Networks 137: 43-53 (2021)
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last updated on 2024-11-08 20:28 CET by the dblp team
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