Christoph N. Straehle

According to our database, Christoph N. Straehle authored at least 22 papers between 2011 and 2024.

Collaborative distances:

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

2024

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction.

Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric T. Nalisnick

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Imitation learning by state-only distribution matching.

Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons

Appl. Intell., December, 2023

Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data.

Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle

Trans. Mach. Learn. Res., 2023

2022

Fail-Safe Adversarial Generative Imitation Learning.

Philipp Geiger, Christoph-Nikolas Straehle

Trans. Mach. Learn. Res., 2022

Anomaly Detection using Contrastive Normalizing Flows.

Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle

CoRR, 2022

Fail-Safe Generative Adversarial Imitation Learning.

Philipp Geiger, Christoph-Nikolas Straehle

CoRR, 2022

2021

Learning Normalizing Flow Policies Based on Highway Demonstrations.

Damian Boborzi, Christoph-Nikolas Straehle, Jens S. Buchner, Lars Mikelsons

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers.

Philipp Geiger, Christoph-Nikolas Straehle

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiagent trajectory models via game theory and implicit layer-based learning.

Philipp Geiger, Christoph Nikolas Straehle

CoRR, 2020

Non-cooperative Multi-agent Systems with Exploring Agents.

Jalal Etesami, Christoph-Nikolas Straehle

CoRR, 2020

Haar Wavelet Based Block Autoregressive Flows for Trajectories.

Apratim Bhattacharyya, Christoph-Nikolas Straehle, Mario Fritz, Bernt Schiele

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction.

Apratim Bhattacharyya, Michael Hanselmann, Mario Fritz, Bernt Schiele, Christoph-Nikolas Straehle

CoRR, 2019

2017

Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets.

Arvind Kumar Shekar, Tom Bocklisch, Patricia Iglesias Sánchez, Christoph Nikolas Straehle, Emmanuel Müller

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2014

Interactive segmentation, uncertainty and learning.

Christoph Nikolas Straehle

PhD thesis, 2014

Multiple Instance Learning with Response-Optimized Random Forests.

Christoph N. Straehle, Melih Kandemir, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria.

Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the IEEE International Conference on Computer Vision, 2013

K-Smallest Spanning Tree Segmentations.

Christoph N. Straehle, Sven Peter, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the Pattern Recognition - 35th German Conference, 2013

Globally Consistent Multi-label Assignment on the Ray Space of 4D Light Fields.

Sven Wanner, Christoph N. Straehle, Bastian Goldluecke

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Seeded watershed cut uncertainty estimators for guided interactive segmentation.

Christoph N. Straehle, Ullrich Köthe, Graham Knott, Kevin L. Briggman, Winfried Denk, Fred A. Hamprecht

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images.

Christoph N. Straehle, Ullrich Köthe, Graham Knott, Fred A. Hamprecht

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Ilastik: Interactive learning and segmentation toolkit.

Christoph Sommer, Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automated segmentation of synapses in 3D EM data.

Anna Kreshuk, Christoph N. Straehle, Christoph Sommer, Ullrich Köthe, Graham Knott, Fred A. Hamprecht

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011