Henrike Stephani

According to our database, Henrike Stephani authored at least 12 papers between 2010 and 2025.

Collaborative distances:

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

2025

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach.

Lars Nieradzik, Henrike Stephani, Janis Keuper

Int. J. Comput. Vis., May, 2025

2024

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images.

Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Stephanie Wrage, Janis Keuper

CoRR, 2024

Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry.

Lars Nieradzik, Henrike Stephani, Jördis Sieburg-Rockel, Stephanie Helmling, Andrea Olbrich, Janis Keuper

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Top-GAP: Integrating Size Priors in CNNs for More Interpretability, Robustness, and Bias Mitigation.

Lars Nieradzik, Henrike Stephani, Janis Keuper

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Automating Wood Species Detection and Classification in Microscopic Images of Fibrous Materials with Deep Learning.

Lars Nieradzik, Jördis Sieburg-Rockel, Stephanie Helmling, Janis Keuper, Thomas Weibel, Andrea Olbrich, Henrike Stephani

CoRR, 2023

2021

Deep learning for image based shelve inventories.

Oliver Müller, Chiara Fend, Ali Moghiseh, Katja Schladitz, Henrike Stephani, Thomas Weibel

Proceedings of the 10th International Symposium on Signal, Image, Video and Communications, 2021

2017

Modellbasiertes Lernen in der Oberflächeninspektion.

Henrike Stephani, Thomas Weibel, Ali Moghiseh

Autom., 2017

On a Projected Weiszfeld Algorithm.

Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016

Hyperspectral Unmixing from Incomplete and Noisy Data.

Martin J. Montag, Henrike Stephani

J. Imaging, 2016

2012

Automatic segmentation and clustering of spectral terahertz data.

Henrike Stephani

PhD thesis, 2012

2011

A Feature Set for Enhanced Automatic Segmentation of Hyperspectral Terahertz Images.

Henrike Stephani, Bettina Heise, Stefan Katletz, Karin Wiesauer, Daniel Molter, Joachim Jonuscheit, Rene Beigang

Proceedings of the 2011 Irish Machine Vision and Image Processing Conference, 2011

2010

Automatically Detecting Peaks in Terahertz Time-Domain Spectroscopy.

Henrike Stephani, Joachim Jonuscheit, Christoph Robine, Bettina Heise

Proceedings of the 20th International Conference on Pattern Recognition, 2010