Larissa T. Triess

14 papers A 1C 2Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	LiDAR Domain Adaptation - Automotive 3D Scene Understanding. Larissa T. Triess
2022	J	`jnl`	A Realism Metric for Generated LiDAR Point Clouds. CoRR Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner
2022	J	`jnl`	A Realism Metric for Generated LiDAR Point Clouds. Int. J. Comput. Vis. Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner
2022	A	`conf`	Point Cloud Generation with Continuous Conditioning. AISTATS Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, Marius Zöllner
2022	J	`jnl`	Point Cloud Generation with Continuous Conditioning. CoRR Larissa T. Triess, Andre Bühler, David Peter, Fabian B. Flohr, J. Marius Zöllner
2021	—	`conf`	A Survey on Deep Domain Adaptation for LiDAR Perception. IV Workshops Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner
2021	J	`jnl`	A Survey on Deep Domain Adaptation for LiDAR Perception. CoRR Larissa T. Triess, Mariella Dreissig, Christoph B. Rist, J. Marius Zöllner
2021	—	`conf`	Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations. GCPR Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner
2021	J	`jnl`	Quantifying point cloud realism through adversarially learned latent representations. CoRR Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner
2021	J	`jnl`	Semi-Local Convolutions for LiDAR Scan Processing. CoRR Larissa T. Triess, David Peter, J. Marius Zöllner
2020	C	`conf`	Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. IV Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner
2020	J	`jnl`	Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study. CoRR Larissa T. Triess, David Peter, Christoph B. Rist, J. Marius Zöllner
2019	C	`conf`	CNN-based synthesis of realistic high-resolution LiDAR data. IV Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner
2019	J	`jnl`	CNN-based synthesis of realistic high-resolution LiDAR data. CoRR Larissa T. Triess, David Peter, Christoph B. Rist, Markus Enzweiler, J. Marius Zöllner