Josef Taher

According to our database, Josef Taher authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms.

Josef Taher, Eric Hyyppä, Matti Hyyppä, Klaara Salolahti, Xiaowei Yu, Leena Matikainen, Antero Kukko, Matti Lehtomäki, Harri Kaartinen, Sopitta Thurachen, Paula Litkey, Ville Luoma, Markus Holopainen, Gefei Kong, Hongchao Fan, Petri Rönnholm, Antti Polvivaara, Samuli Junttila, Mikko Vastaranta, Stefano Puliti, Rasmus Astrup, Joel Kostensalo, Mari Myllymäki, Maksymilian Kulicki, Krzysztof Sterenczak, Raul de Paula Pires, Ruben Valbuena, Juan Pedro Carbonell-Rivera, Jesús Torralba, Yi-Chen Chen, Lukas Winiwarter, Markus Hollaus, Gottfried Mandlburger, Narges Takhtkeshha, Fabio Remondino, Maciej Lisiewicz, Bartlomiej Kraszewski, Xinlian Liang, Jianchang Chen, Eero Ahokas, Kirsi Karila, Eugeniu Vezeteu, Petri Manninen, Roope Näsi, Heikki Hyyti, Siiri Pyykkönen, Peilun Hu, Juha Hyyppä

CoRR, April, 2025

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds.

Lassi Ruoppa, Oona Oinonen, Josef Taher, Matti Lehtomäki, Narges Takhtkeshha, Antero Kukko, Harri Kaartinen, Juha Hyyppä

CoRR, February, 2025

2024

Railroad Environment Mobile Laser Scanning Data.

Aleksi Kononen, Harri Kaartinen, Antero Kukko, Matti Lehtomäki, Josef Taher, Juha Hyyppä

Dataset, December, 2024

Unsupervised semantic segmentation of urban high-density multispectral point clouds.

Oona Oinonen, Lassi Ruoppa, Josef Taher, Matti Lehtomäki, Leena Matikainen, Kirsi Karila, Teemu Hakala, Antero Kukko, Harri Kaartinen, Juha Hyyppä

CoRR, 2024

2023

Can the Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys? - A Case Study Surveying Roadside City Trees.

Eric Hyyppä, Petri Manninen, Jyri Maanpää, Josef Taher, Paula Litkey, Heikki Hyyti, Antero Kukko, Harri Kaartinen, Eero Ahokas, Xiaowei Yu, Jesse Muhojoki, Matti Lehtomäki, Juho-Pekka Virtanen, Juha Hyyppä

Remote. Sens., April, 2023

2022

FGI ARVO VLS-128 LiDAR Point Cloud, Käpylä, 7th of September 2020.

Petri Manninen, Paula Litkey, Eero Ahokas, Jyri Maanpää, Josef Taher, Heikki Hyyti, Juha Hyyppä

Dataset, October, 2022

Feasibility of Hyperspectral Single Photon Lidar for Robust Autonomous Vehicle Perception.

Josef Taher, Teemu Hakala, Anttoni Jaakkola, Heikki Hyyti, Antero Kukko, Petri Manninen, Jyri Maanpää, Juha Hyyppä

Sensors, 2022

Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity.

Petri Manninen, Heikki Hyyti, Ville Kyrki, Jyri Maanpää, Josef Taher, Juha Hyyppä

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task.

Jyri Maanpää, Iaroslav Melekhov, Josef Taher, Petri Manninen, Juha Hyyppä

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2020

Multimodal End-to-End Learning for Autonomous Steering in Adverse Road and Weather Conditions.

Jyri Maanpää, Josef Taher, Petri Manninen, Leo Pakola, Iaroslav Melekhov, Juha Hyyppä

Proceedings of the 25th International Conference on Pattern Recognition, 2020