Norbert Kirchgeßner

15 papers A 1Misc 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Supervised LSTM for 3D morphology estimation from Multi-View RGB Images of Wheat Spikes.
CoRR
Olivia Zumsteg, Nico Graf, Aaron Haeusler, Norbert Kirchgeßner, Nicola Storni, Lukas Roth, Andreas Hund
2025 J jnl
FoMo4Wheat: Toward reliable crop vision foundation models with globally curated data.
CoRR
Bing Han, Chen Zhu, Dong Han, Rui Yu, Songliang Cao, Jianhui Wu, Scott C. Chapman, Zijian Wang, Bangyou Zheng, Wei Guo, Marie Weiss, Benoit de Solan, Andreas Hund, Lukas Roth, Norbert Kirchgeßner, Andrea Visioni, Yufeng Ge, Wenjuan Li, Alexis Comar, Dong Jiang, Dejun Han, Frédéric Baret, Yanfeng Ding, Hao Lu, Shouyang Liu
2025 — conf
Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting.
CVPR Workshops
Daiwei Zhang, Joaquin Gajardo, Tomislav Medic, Isinsu Katircioglu, Mike Boss, Norbert Kirchgeßner, Achim Walter, Lukas Roth
2025 J jnl
Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting.
CoRR
Daiwei Zhang, Joaquin Gajardo, Tomislav Medic, Isinsu Katircioglu, Mike Boss, Norbert Kirchgeßner, Achim Walter, Lukas Roth
2023 J jnl
On-farm evaluation of UAV-based aerial imagery for season-long weed monitoring under contrasting management and pedoclimatic conditions in wheat.
Comput. Electron. Agric.
Jonas Anderegg, Flavian Tschurr, Norbert Kirchgeßner, Simon Treier, Manuel Schmucki, Bernhard Streit, Achim Walter
2020 J jnl
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods.
CoRR
Etienne David, Simon Madec, Pouria Sadeghi-Tehran, Helge Aasen, B. Zheng, Shouyang Liu, Norbert Kirchgeßner, Goro Ishikawa, Koichi Nagasawa, Minhajul A. Badhon, Curtis Pozniak, Benoit de Solan, Andreas Hund, Scott C. Chapman, Frédéric Baret, Ian Stavness, Wei Guo
2019 J jnl
NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research.
Comput. Electron. Agric.
Geng Bai, Yufeng Ge, David Scoby, Bryan Leavitt, Vincent Stoerger, Norbert Kirchgeßner, Suat Irmak, George L. Graef, James C. Schnable, Tala Awada
2018 A conf
Soybean Leaf Coverage Estimation for Field-Phenotyping.
BMVC
Kevin Keller, Raghav Khanna, Norbert Kirchgeßner, Roland Siegwart, Achim Walter, Helge Aasen
2011 J jnl
A variational approach to vesicle membrane reconstruction from fluorescence imaging.
Pattern Recognit.
Kalin Kolev, Norbert Kirchgeßner, Sebastian Houben, Agnes Csiszár, Wolfgang Rubner, Christoph Palm, Björn Eiben, Rudolf Merkel, Daniel Cremers
2010 — conf
Estimating Force Fields of Living Cells - Comparison of Several Regularization Schemes Combined with Automatic Parameter Choice.
DAGM-Symposium
Sebastian Houben, Norbert Kirchgeßner, Rudolf Merkel
2003 — —
Extraktion physiologischer Koordinatensysteme von Pflanzenwurzeln und -blättern aus Bildsequenzen.
Norbert Kirchgeßner
2001 Misc conf
Root Growth Analysis in Physiological Coordinates.
ICIAP
Norbert Kirchgeßner, Hagen Spies, Hanno Scharr, Uli Schurr
2001 — conf
Root Growth Measurements in Object Coordinates.
DAGM-Symposium
Norbert Kirchgeßner, Hagen Spies, Hanno Scharr, Uli Schurr
2000 — conf
3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens.
DAGM-Symposium
Norbert Kirchgeßner, Hanno Scharr, Uli Schurr
2000 — conf
Dense Structure Estimation via Regularised Optical Flow.
VMV
Hagen Spies, Norbert Kirchgeßner, Hanno Scharr, Bernd Jähne