Florian Piewak

21 papers B 2C 1Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation. DAGM GCPR Mariella Dreissig, Simon Ruehle, Florian Piewak, Joschka Boedecker
2024	J	`jnl`	Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation. CoRR Mariella Dreissig, Florian Piewak, Joschka Boedecker
2023	—	`conf`	On the Calibration of Uncertainty Estimation in LiDAR-Based Semantic Segmentation. ITSC Mariella Dreissig, Florian Piewak, Joschka Boedecker
2023	J	`jnl`	On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation. CoRR Mariella Dreissig, Florian Piewak, Joschka Boedecker
2023	C	`conf`	Survey on LiDAR Perception in Adverse Weather Conditions. IV Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker
2023	J	`jnl`	Survey on LiDAR Perception in Adverse Weather Conditions. CoRR Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker
2022	J	`jnl`	On the calibration of underrepresented classes in LiDAR-based semantic segmentation. CoRR Mariella Dreissig, Florian Piewak, Joschka Boedecker
2020	J	`jnl`	CNN-Based Lidar Point Cloud De-Noising in Adverse Weather. IEEE Robotics Autom. Lett. Robin Heinzler, Florian Piewak, Philipp Schindler, Wilhelm Stork
2020	—	`—`	LiDAR-based Semantic Labeling: Automotive 3D Scene Understanding. Florian Piewak
2019	—	`conf`	Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC Florian Piewak, Peter Pinggera, Marius Zöllner
2019	J	`jnl`	Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. CoRR Florian Piewak, Peter Pinggera, J. Marius Zöllner
2019	J	`jnl`	CNN-based Lidar Point Cloud De-Noising in Adverse Weather. CoRR Robin Heinzler, Florian Piewak, Philipp Schindler, Wilhelm Stork
2018	—	`conf`	Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. ECCV Workshops (6) Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner
2018	J	`jnl`	Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation. CoRR Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, David Pfeiffer, Markus Enzweiler, J. Marius Zöllner
2018	—	`conf`	Improved Semantic Stixels via Multimodal Sensor Fusion. GCPR Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner
2018	J	`jnl`	Improved Semantic Stixels via Multimodal Sensor Fusion. CoRR Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Johann Marius Zöllner
2017	J	`jnl`	Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis). CoRR Florian Piewak
2017	J	`jnl`	Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps. CoRR Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner
2017	B	`conf`	Fully convolutional neural networks for dynamic object detection in grid maps. Intelligent Vehicles Symposium Florian Piewak, Timo Rehfeld, Michael Weber, Johann Marius Zöllner
2017	J	`jnl`	RegNet: Multimodal Sensor Registration Using Deep Neural Networks. CoRR Nick Schneider, Florian Piewak, Christoph Stiller, Uwe Franke
2017	B	`conf`	RegNet: Multimodal sensor registration using deep neural networks. Intelligent Vehicles Symposium Nick Schneider, Florian Piewak, Christoph Stiller, Uwe Franke