Interntional Computer Science Institute
UC Berkeley, California, USA

cnieuwe (at) eecs (dot) berkeley (dot) edu

Journal Articles

   A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model
C. Nieuwenhuis, E. Toeppe, D. Cremers, In International Journal of Computer Vision (IJCV), 2013.
[pdf] [code]
 
   Spatially Varying Color Distributions for Interactive Multi-Label Segmentation
C. Nieuwenhuis, D. Cremers, In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 35, 2013.
[pdf] [code]
 
   Bootstrap Optical Flow and Uncertainty Measure
J. Kybic, C. Nieuwenhuis, In Computer Vision and Image Understanding (CVIU), volume 115, 2011.
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Conference Publications

   Convexity Shape Prior
L. Goerlick, O. Veksler, Y. Boykov, C. Nieuwenhuis, In IEEE European Conference on Computer Vision (ECCV), 2014.
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   Co-sparse Textural Similarity for Interactive Segmentation
C. Nieuwenhuis, S. Hawe, M. Kleinsteuber, D. Cremers, In IEEE European Conference on Computer Vision (ECCV), 2014.
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   Efficient Squared Curvature
C. Nieuwenhuis, E. Toeppe, L. Gorelick, O. Veksler, Y. Boykov, In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
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   Proportion Priors for Image Sequence Segmentation (oral presentation)
C. Nieuwenhuis, E. Strekalovskiy, D. Cremers, In IEEE International Conference on Computer Vision (ICCV), 2013.
[pdf] [suppl]
 
   Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints
T. Möllenhoff, C. Nieuwenhuis, E. Toeppe, D. Cremers, In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013
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   A Co-occurrence Prior for Continuous Multi-Label Optimization
M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers, In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013.
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   Relative Volume Constraints for Single View 3D Reconstruction
E. Toeppe, C. Nieuwenhuis, D. Cremers, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
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   Proximity Priors for Variational Semantic Segmentation and Recognition
J. Bergbauer, C. Nieuwenhuis, M. Souiai, D. Cremers, In ICCV Workshop on Graphical Models for Scene Understanding, 2013.
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   Convex Optimization for Scene Understanding
M. Souiai, C. Nieuwenhuis, E. Strekalovskiy, D. Cremers, In ICCV Workshop on Graphical Models for Scene Understanding, 2013.
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   Nonmetric Priors for Continuous Multilabel Optimization
E. Strekalovskiy, C. Nieuwenhuis, D. Cremers, In European Conference on Computer Vision (ECCV), Springer, 2012.
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A Survey on Geometry Recovery from a Single Image with Focus on Curved Object Reconstruction
M. R. Oswald, E. Toeppe, C. Nieuwenhuis, D. Cremers, In Proceedings of the 2011 Conference on Innovations for Shape Analysis: Models and Algorithms, Springer-Verlag, 2011.
 
   Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches
C. Nieuwenhuis, E. Toeppe, D. Cremers, In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2011
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   Interactive Motion Segmentation
C. Nieuwenhuis, B. Berkels, M. Rumpf, D. Cremers, In Pattern Recognition (Proc. DAGM), Springer, volume 6376, 2010.
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   Complex Motion Models for Simple Optical Flow Estimation
C. Nieuwenhuis, D. Kondermann, C. Garbe, In Pattern Recognition (Proc. DAGM), Springer, volume 6376, 2010.
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   Reconstructing Optical Flow Fields by Motion Inpainting
B. Berkels, C. Nieuwenhuis, C. Garbe, M. Rumpf, In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 5681, 2009.
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   Postprocessing of Optical Flows via Surface Measures and Motion Inpainting
C. Nieuwenhuis, D. Kondermann, C. Garbe, In Pattern Recognition (Proc. DAGM), Springer, volume 7096, 2008.
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   On Errors-In-Variables Regression with Arbitrary Covariance and its Application to Optical Flow Estimation
B. Andres, C. Nieuwenhuis, D. Kondermann, U. Köthe, R. Hamprecht, C. Garbe, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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   A Statistical Confidence Measure for Optical Flows
C. Nieuwenhuis, R. Mester, C. Garbe, In European Conference on Computer Vision (ECCV), 2008.
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   Motion Estimation Based on a Temporal Model of Fluid Flows
D. Kondermann, C. Nieuwenhuis, A. Berthe, U. Kertzscher, C. Garbe, In 13th International Symposium on Flow Visualization, 2008.
 
   Blood vessel classification into arteries and veins in retinal images
C. Nieuwenhuis, D. Kondermann, M. Yan, In Proc. of the SPIE Medical Imaging, volume 6512, 2007.
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   An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections
C. Nieuwenhuis, D. Kondermann, B. Jähne, C. Garbe, In Pattern Recognition (Proc. DAGM), Springer, volume 4713, 2007.
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   Knowledge Based Image Enhancement Using Neural Networks
C. Nieuwenhuis, M. Yan, In International Conference on Pattern Recognition, Proceedings, 2006.
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PhD Thesis

   Restoration and Prostprocessing of Optical Flows
C. Nieuwenhuis, PhD thesis, Faculty of Mathematics and Computer Science, Heidelberg University, 2009.
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