Pascal Colling

18 papers B 2C 3Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models. CoRR Andrea Matteazzi, Pascal Colling, Michael Arnold, Dietmar Tutsch
2025	—	`conf`	Inferring Driving Maps by Deep Learning-based Trail Map Extraction. CVPR Workshops Michael Hubbertz, Pascal Colling, Qi Han, Tobias Meisen
2025	J	`jnl`	Inferring Driving Maps by Deep Learning-based Trail Map Extraction. CoRR Michael Hubbertz, Pascal Colling, Qi Han, Tobias Meisen
2025	J	`jnl`	LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. Int. J. Comput. Vis. Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2024	J	`jnl`	A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance. CoRR Andrea Matteazzi, Pascal Colling, Michael Arnold, Dietmar Tutsch
2023	C	`conf`	Fake It, Mix It, Segment It: Bridging the Domain Gap Between Lidar Sensors. ICPRAM Frederik Hasecke, Pascal Colling, Anton Kummert
2023	—	`conf`	LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023	J	`jnl`	LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. CoRR Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023	J	`jnl`	Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. Int. J. Artif. Intell. Tools Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2022	J	`jnl`	Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors. CoRR Frederik Hasecke, Pascal Colling, Anton Kummert
2022	C	`conf`	HD Lane Map Generation Based on Trail Map Aggregation. IV Pascal Colling, Dennis Müller, Matthias Rottmann
2022	—	`—`	Uncertainty Quantification and its Applications for Multimodal Semantic Segmentation. Pascal Colling
2021	B	`conf`	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. ICTAI Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021	J	`jnl`	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. CoRR Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021	C	`conf`	MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps. ICPRAM Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2020	J	`jnl`	MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps. CoRR Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2020	B	`conf`	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. IJCNN Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2018	J	`jnl`	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. CoRR Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk