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Larissa Triess
Larissa Triess
Machine Learning Engineer at Mercedes-Benz
Bestätigte E-Mail-Adresse bei mercedes-benz.com - Startseite
Titel
Zitiert von
Zitiert von
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A Survey on Deep Domain Adaptation for LiDAR Perception
LT Triess, M Dreissig, CB Rist, JM Zöllner
Workshop Autonomy@Scale, 2021 IEEE Intelligent Vehicles Symposium (IV), 2021
632021
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study
LT Triess, D Peter, CB Rist, JM Zöllner
2020 IEEE Intelligent Vehicles Symposium (IV), 1116-1121, 2020
422020
CNN-based synthesis of realistic high-resolution LiDAR data
LT Triess, D Peter, CB Rist, M Enzweiler, JM Zöllner
2019 IEEE Intelligent Vehicles Symposium (IV), 2019
122019
Point Cloud Generation with Continuous Conditioning
LT Triess, A Bühler, D Peter, FB Flohr, JM Zöllner
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2022
72022
A Realism Metric for Generated LiDAR Point Clouds
LT Triess, CB Rist, D Peter, JM Zöllner
International Journal of Computer Vision 130 (12), 2962-2979, 2022
52022
Quantifying point cloud realism through adversarially learned latent representations
LT Triess, D Peter, SA Baur, JM Zöllner
2021 German Conference on Pattern Recognition (GCPR), 2021
22021
Semi-Local Convolutions for LiDAR Scan Processing
LT Triess, D Peter, JM Zöllner
I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021
22021
LiDAR Domain Adaptation-Automotive 3D Scene Understanding
LT Triess
2023
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