LT
Larissa T Triess
cs.CVcs.LGcs.AIstat.MLeess.IV
On Valency
published · living versionsW_ayta4je9·v1 · currentpublished
Robust LIDAR Sensor-to-Sensor Domain Generalization via Accumulated-Point Scene Completion
with Christoph B Rist, Markus Enzweiler, Dariu M Gavrila
1 version
Preprints & journals
8 papers in the corpus · 2019–2025AGO: Adaptive Grounding for Open World 3D Occupancy Prediction2504.10117v2 · Peizheng Li, Shuxiao Ding, You Zhou et al.2025 · 4 citationsarXiv
A Realism Metric for Generated LiDAR Point Clouds2208.14958v1 · Larissa T. Triess, Christoph B. Rist, David Peter et al.2022 · 12 citationsarXiv
Point Cloud Generation with Continuous Conditioning2202.08526v1 · Larissa T. Triess, Andre Buhler, David Peter et al.2022 · 4 citations2022 International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 151:4462-4481
Semi-Local Convolutions for LiDAR Scan Processing2111.15615v1 · Larissa T. Triess, David Peter, J. Marius Zollner2021 · 1 citationICBINB Workshop at NeurIPS 2021
Quantifying point cloud realism through adversarially learned latent representations2109.11775v1 · Larissa T. Triess, David Peter, Stefan A. Baur et al.2021 · 2 citations2021 German Conference on Pattern Recognition (GCPR)
A Survey on Deep Domain Adaptation for LiDAR Perception2106.02377v2 · Larissa T. Triess, Mariella Dreissig, Christoph B. Rist et al.2021 · 63 citations2021 IEEE Intelligent Vehicles Symposium Workshops (IV) Workshops, pp. 350-357
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study2004.11803v3 · Larissa T. Triess, David Peter, Christoph B. Rist et al.2020 · 40 citationsIEEE Intelligent Vehicles Symposium (IV), 2020, pp. 1116-1121
CNN-based synthesis of realistic high-resolution LiDAR data1907.00787v2 · Larissa T. Triess, David Peter, Christoph B. Rist et al.2019 · 18 citationsIEEE Intelligent Vehicles Symposium (IV), 2019, pp. 1512-1519
Career total: 12 works. 8 are in this corpus.
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