Louis Wiesmann - Concepedia

Author

Louis Wiesmann

University of Bonn ORCID

Also Known As

Louis Wiesmann, Wiesmann, Louis

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

University of Bonn University of Oxford Lamarr Institute for Machine Learning and Artificial Intelligence Science Oxford

About

Louis Wiesmann is an author at University of Bonn specializing in machine vision, engineering, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	299
2	Computer Science	8	8	265
3	Data Science	6	6	144
4	Natural Sciences	5	5	128
5	Artificial Intelligence	1	1	29

Louis Wiesmann

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, IEEE Robotics and Automation Letters	2023	400
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data Xieyuanli Chen, Shijie Li, Benedikt Mersch, IEEE Robotics and Automation Letters	2021	223
Deep Compression for Dense Point Cloud Maps Louis Wiesmann, Andres Milioto, Xieyuanli Chen, IEEE Robotics and Automation Letters 3D Computer VisionPoint CloudGeometry CompressionMachine VisionImage Analysis	2021	95
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency Yue Pan, Xingguang Zhong, Louis Wiesmann, IEEE Transactions on Robotics	2024	58
Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving Rodrigo Marcuzzi, Lucas Nunes, Louis Wiesmann, IEEE Robotics and Automation Letters	2023	47
Mapping the Static Parts of Dynamic Scenes from 3D LiDAR Point Clouds Exploiting Ground Segmentation Mehul Arora, Louis Wiesmann, Xieyuanli Chen, EngineeringDynamic PointsField RoboticsPoint Cloud ProcessingPoint Cloud	2021	34
LocNDF: Neural Distance Field Mapping for Robot Localization Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo, IEEE Robotics and Automation Letters EngineeringMachine LearningRobot LocalizationNeural NetworkField Robotics	2023	30
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving Lucas Nunes, Louis Wiesmann, Rodrigo Marcuzzi, Artificial IntelligenceGeometric LearningEngineeringMachine LearningPoint Cloud Processing	2023	29
Static map generation from 3D LiDAR point clouds exploiting ground segmentation Mehul Arora, Louis Wiesmann, Xieyuanli Chen, Robotics and Autonomous Systems Geometric Modeling3D Computer VisionNatural SciencesPoint Cloud Processing3D Scanning	2022	27
Retriever: Point Cloud Retrieval in Compressed 3D Maps Louis Wiesmann, Rodrigo Marcuzzi, Cyrill Stachniss, 2022 International Conference on Robotics and Automation (ICRA) Geometric LearningEngineeringMachine LearningPoint Cloud ProcessingPoint Cloud	2022	26

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