Björn Fröhlich

Affiliations:
  • Daimler AG, Böblingen, Germany
  • University of Jena, Germany


According to our database1, Björn Fröhlich authored at least 15 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2018
Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks.
Int. J. Comput. Vis., 2017

Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

2015
A Comparison Study on Vehicle Detection in Far Infrared and Regular Images.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Vision-Based Road Sign Detection.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Semantic segmentation with efficient tree-based methods.
PhD thesis, 2014

Will this car change the lane? - Turn signal recognition in the frequency domain.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Is it safe to change the lane? - Visual exploration of adjacent lanes for autonomous driving.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition.
Mach. Vis. Appl., 2013

2012
Semantic Segmentation using GrabCut.
Proceedings of the VISAPP 2012, 2012

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests.
Proceedings of the Pattern Recognition, 2012

Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach.
Proceedings of the Computer Vision - ACCV 2012, 2012

2010
Semantische Segmentierung.
Proceedings of the Informatiktage 2010, 2010

A Fast Approach for Pixelwise Labeling of Facade Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010


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