Jonathan Henrich

According to our database, Jonathan Henrich authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Benchmarking pig detection and tracking under diverse and challenging conditions.

Jonathan Henrich, Christian Post, Maximilian Zilke, Parth Shiroya, Emma Chanut, Amir Mollazadeh Yamchi, Ramin Yahyapour, Thomas Kneib, Imke Traulsen

CoRR, July, 2025

2024

TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds.

Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

Ecol. Informatics, 2024

Towards general deep-learning-based tree instance segmentation models.

Jonathan Henrich, Jan van Delden

CoRR, 2024

Computer Vision for Primate Behavior Analysis in the Wild.

Richard Vogg, Timo Lüddecke, Jonathan Henrich, Sharmita Dey, Matthias Nuske, Valentin Hassler, Derek Murphy, Julia Fischer, Julia Ostner, Oliver Schülke, Peter M. Kappeler, Claudia Fichtel, Alexander Gail, Stefan Treue, Hansjörg Scherberger, Florentin Wörgötter, Alexander S. Ecker

CoRR, 2024

Entwicklung eines vielfältigen und anspruchsvollen Benchmark-Datensatzes für die Detektion von Schweinen in Bildern.

Jonathan Henrich, Christian Post, Thomas Kneib, Ramin Yahyapour, Sven Bingert, Imke Traulsen

Proceedings of the 44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2024

2023

TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds.

Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

CoRR, 2023