Larissa T. Triess

CNN-based synthesis of realistic high-resolution LiDAR data

David Peter, Johann Marius Zöllner, Christoph B. Rist, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study

David Peter, Johann Marius Zöllner, Christoph B. Rist, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Semi-Local Convolutions for LiDAR Scan Processing pdf

Larissa T. Triess, Johann Marius Zöllner, David Peter, 2021, ArXiv.

Quantifying point cloud realism through adversarially learned latent representations

Stefan A. Baur, Larissa T. Triess, Johann Marius Zöllner, 2021, GCPR.

A Survey on Deep Domain Adaptation for LiDAR Perception

Christoph B. Rist, Mariella Dreissig, Larissa T. Triess, 2021, 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).

A Realism Metric for Generated LiDAR Point Clouds

Christoph B. Rist, Larissa T. Triess, J. M. Zöllner, 2022, International Journal of Computer Vision.

Quantifying point cloud realism through adversarially learned latent representations

Stefan A. Baur, Larissa T. Triess, J. M. Zöllner, 2021, GCPR.

Point Cloud Generation with Continuous Conditioning

Larissa T. Triess, F. Flohr, J. M. Zöllner, 2022, AISTATS.

A Survey on Deep Domain Adaptation for LiDAR Perception

Christoph B. Rist, Larissa T. Triess, J. M. Zöllner, 2021, 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).

Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study

Johann Marius Zöllner, Christoph B. Rist, Larissa T. Triess, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).