Jörg P. Schäfer

According to our database, Jörg P. Schäfer authored at least 18 papers between 2010 and 2025.

Collaborative distances:

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

2025

Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation.

Sudhanshu Mittal, Joshua Niemeijer, Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, Jörg P. Schäfer, Heinz Handels, Thomas Brox

Int. J. Comput. Vis., July, 2025

2024

Faster Lock-Free Atomic Shared Pointers.

Jörg P. Schäfer

Proceedings of the Intelligent Computing, 2024

Spatio-Temporal Alignment Between Cooperative Sensor Platforms.

Jörg P. Schäfer, Clarissa Böker, Philipp M. Schmälzle, Marek Junghans

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Revisiting Deep Active Learning for Semantic Segmentation.

Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox

CoRR, 2023

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.

Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt

IEEE Access, 2023

Overcoming the sensor delta for semantic segmentation in OCT images.

Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Best Practices in Active Learning for Semantic Segmentation.

Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Efficient nearest neighbor search on metric time series.

Jörg Peter Schäfer

PhD thesis, 2022

Domain Adaptation and Generalization: A Low-Complexity Approach.

Joshua Niemeijer, Jörg Peter Schäfer

Proceedings of the Conference on Robot Learning, 2022

2021

Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation.

Joshua Niemeijer, Jörg P. Schäfer

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2019

The SuperM-Tree: Indexing metric spaces with sized objects.

Jörg P. Bachmann

CoRR, 2019

2018

Efficient Measuring of Congruence on High Dimensional Time Series.

Jörg P. Bachmann, Johann-Christoph Freytag

CoRR, 2018

An Analytical Approach to Improving Time Warping on Multidimensional Time Series.

Jörg P. Bachmann, Johann-Christoph Freytag

CoRR, 2018

Measuring Congruence on High Dimensional Time Series.

Jörg P. Bachmann, Johann-Christoph Freytag, Benjamin Hauskeller, Nicole Schweikardt

CoRR, 2018

Simple Yet Efficient Content Based Video Copy Detection.

Jörg P. Bachmann, Benjamin Hauskeller

CoRR, 2018

High Dimensional Time Series Generators.

Jörg P. Bachmann, Johann-Christoph Freytag

CoRR, 2018

2017

Dynamic Time Warping and the (Windowed) Dog-Keeper Distance.

Jörg P. Bachmann, Johann-Christoph Freytag

Proceedings of the Similarity Search and Applications - 10th International Conference, 2017

2010

Time-independent Liveness in Time Petri Nets.

Jörg Peter Bachmann, Louchka Popova-Zeugmann

Fundam. Informaticae, 2010