publications

All publications can also be found on Google Scholar

2022

  1. A Realism Metric for Generated LiDAR Point Clouds
    Larissa T. Triess, Christoph B. Rist, David Peter, and 1 more author
    International Journal of Computer Vision (IJCV), 2022
    PDF
  2. Point Cloud Generation with Continuous Conditioning
    Larissa T. Triess, Andre Bühler, David Peter, and 2 more authors
    In Conference on Artificial Intelligence and Statistics (AISTATS), 2022
    PDF Website

2021

  1. Quantifying point cloud realism through adversarially learned latent representations
    Larissa T. Triess, David Peter, Stefan A. Baur, and 1 more author
    In Proc. of the German Conference on Pattern Recognition (GCPR), 2021
    PDF Website
  2. Semi-Local Convolutions for LiDAR Scan Processing
    Larissa T. Triess, David Peter, and J. Marius Zöllner
    In Advances in Neural Information Processing Systems (NeurIPS) Workshops, 2021
    PDF
  3. A Survey on Deep Domain Adaptation for LiDAR Perception
    Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, and 1 more author
    In Proc. IEEE Intelligent Vehicles Symposium (IV) Workshops, 2021
    PDF Website

2020

  1. Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study
    Larissa T. Triess, David Peter, Christoph B. Rist, and 1 more author
    In Proc. IEEE Intelligent Vehicles Symposium (IV), 2020
    PDF Website

2019

  1. CNN-based synthesis of realistic high-resolution LiDAR data
    Larissa T. Triess, David Peter, Christoph B. Rist, and 2 more authors
    In Proc. IEEE Intelligent Vehicles Symposium (IV), 2019
    PDF Website