Christian Bailer
| E-Mail: | christian.bailer@dfki.de |
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| Position: | Researcher |
| Phone: | +49 (0)631 20575 3590 |
Christian Bailer received his Diploma Degree in Computer Science from the University of Ulm in the beginning of 2012. The topic of his thesis was “Scale robust Multi View Stereo”. Since March 2012, he is Researcher in the Augmented Vision group. There he worked among other things on object tracking, eye tracking and gender recognition. Currently he is working on scene flow estimation for the project Density.
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-14, Lake Tahoe, NV/CA, USA
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Combining Stereo Disparity and Optical Flow for Basic Scene Flow
Commercial Vehicle Technology Symposium (CVT-18), March 13-15, Kaiserslautern, Germany
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FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation
International Conference on Image Processing IEEE International Conference on Image Processing (ICIP-2018), October 7-10, Athen, Greece
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CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss
International Conference on Computer Vision and Pattern Recognition (CVPR-2017), July 21-26, Honolulu, Hawaii, USA
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Towards Flow Estimation in Automotive Scenarios
Computer Science in Cars Symposium ACM Chapters Computer Science in Cars Symposium (CSCS-17), Computer Science in Cars Symposium 2017, July 6, Munich, Germany
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Optical Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
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Fast Dense Feature Extraction with CNNs that have Pooling or Striding Layers
BMVC British Machine Vision Conference (BMVC-2017), September 4-7, London, United Kingdom
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Optical Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
Proceedings - 2015 IEEE International Conference on Computer Vision
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A Simple Real-Time Eye Tracking and Calibration Approach for Autostereoscopic 3D Displays
International Conference on Computer Vision Theory and Applications (VISAPP-15), 10th, March 11-14, Berlin, Germany
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Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
Proceedings - 2015 IEEE International Conference on Computer Vision International Conference on Computer Vision (ICCV-15), December 13-16, Santiago, Chile
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Tracker Fusion on VOT Challenge: How Does It Perform and What Can We Learn About Single Trackers?
International Conference on Computer Vision (ICCV-2015), December 11-18, Santiago, Chile
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A user supported object tracking framework for interactive video production
k.A.; : Journal of Virtual Reality and Broadcasting
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A Superior Tracking Approach: Building a strong Tracker through Fusion
Computer Vision â ECCV 2014 European Conference on Computer Vision (ECCV-14), September 6-12, Zürich, Switzerland
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Bildbasierte Messung und Analyse sportlicher Aktivitäten
15. Frühjahrsschule "Informations- und Kommunikationstechnologien in der angewandten Trainingswissenschaft" Frühjahrsschule Informations- und Kommunikationstechnologien in der angewandten Trainingswissenschaft, 15. April 17-18, Leipzig, Germany
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OnEye – Producing and broadcasting generalized interactive videos
2013 NEM Summit - Conderence Proceedings Networked and Electronic Media Summit (NEM Summit-2013), October 28-30, Nantes, France
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A user supported tracking framework for interactive video production
Proceedings of the 10th European Conference on Visual Media Production Conference on Visual Media Production (CVMP-13), 10th, November 6-7, London, United Kingdom
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