Fredrik Kahl (Former)
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- 2018
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Mark
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
2018) 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 p.8601-8610(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
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Mark
City-Scale Localization for Cameras with Known Vertical Direction
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- Contribution to journal › Article
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Mark
Shape-aware multi-atlas segmentation
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Max-margin learning of deep structured models for semantic segmentation
2017) 20th Scandinavian Conference on Image Analysis, SCIA 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10270 LNCS. p.28-40(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Robust abdominal organ segmentation using regional convolutional neural networks
2017) 20th Scandinavian Conference on Image Analysis, SCIA 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10270 LNCS. p.41-52(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Robust Online 3D Reconstruction Combining a Depth Sensor and Sparse Feature Points
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
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Mark
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography
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- Contribution to journal › Article
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Mark
Minimizing the Maximal Rank
2016) 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A Simple Method for Subspace Estimation with Corrupted Columns
2016) 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 2016-February. p.841-849(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Überatlas : Fast and robust registration for multi-atlas segmentation
(
- Contribution to journal › Article