Publications

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2011
J. Lellmann, Lenzen, F., and Schnörr, C., Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem, IPA group, Heidelberg University, 2011.
F. Rathke, Schmidt, S., and Schnörr, C., Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography, in MICCAI 2011, Proceedings, 2011, vol. 6893, pp. 370-377.
F. Rathke, Schmidt, S., and Schnörr, C., Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography, in MICCAI 2011, Proceedings, 2011, vol. 6893, pp. 370-377.
F. Rathke, Schmidt, S., and Schnörr, C., Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography, in MICCAI, 2011, vol. 6893, p. 370--377.PDF icon Technical Report (1.12 MB)
F. Rathke, Schmidt, S., and Schnörr, C., Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography, in MICCAI, 2011, vol. 6893, p. 370--377.PDF icon Technical Report (1.12 MB)
F. Rathke, Schmidt, S., and Schnörr, C., Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), vol. 6893. Springer, pp. 370–377, 2011.
F. Rathke, Schmidt, S., and Schnörr, C., Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), vol. 6893. Springer, pp. 370–377, 2011.
F. Rathke, Schmidt, S., and Schnörr, C., Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography, in MICCAI, 2011, vol. 6893, pp. 370–377.
F. Rathke, Schmidt, S., and Schnörr, C., Order Preserving and Shape Prior Constrained Intra-Retinal Layer Segmentation in Optical Coherence Tomography, in MICCAI, 2011, vol. 6893, pp. 370–377.
P. Vincent Gehler, Rother, C., Kiefel, M., Zhang, L., and Schölkopf, B., Recovering intrinsic images with a global sparsity prior on reflectance, in Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, 2011.
J. Lellmann and Schnörr, C., Regularizers for Vector-Valued Data and Labeling Problems in Image Processing, Control Systems and Computers, vol. 2, pp. 43–54, 2011.
D. Breitenreicher, Lellmann, J., and Schnörr, C., Sparse Template-Based Variational Image Segmentation, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.PDF icon Technical Report (866.28 KB)
D. Breitenreicher, Lellmann, J., and Schnörr, C., Sparse Template-Based Variational Image Segmentation, Advances in Adaptive Data Analysis, vol. 3, pp. 149-166, 2011.
X. Lou and Hamprecht, F. A., Structured Learning for Cell Tracking, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.PDF icon Technical Report (1.41 MB)
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.PDF icon Technical Report (408.99 KB)
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.PDF icon Technical Report (408.99 KB)
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.PDF icon Technical Report (408.99 KB)
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
B. Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
S. Nowozin and Sharp, T., Supplementary Material : Decision Tree Fields, Iccv, 2011.
L. Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R. dos, and Meinzer, H. - P., Towards mobile augmented reality for on-patient visualization of medical images, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.
L. Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R. dos, and Meinzer, H. - P., Towards mobile augmented reality for on-patient visualization of medical images, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.
L. Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R. dos, and Meinzer, H. - P., Towards mobile augmented reality for on-patient visualization of medical images, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.
F. Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., Variational Adaptive Correlation Method for Flow Estimation, IEEE Transactions on Image Processing, vol. 21, 6, pp. 3053 - 3065, 2011.
F. Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., Variational Adaptive Correlation Method for Flow Estimation, IEEE Transactions on Image Processing, vol. 21, 6, pp. 3053 - 3065, 2011.
F. Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., Variational Image Denoising with Adaptive Constraint Sets, in Proceedings of the 3nd International Conference on Scale Space and Variational Methods in Computer Vision 2011, in press, 2011, vol. 6667, pp. 206-217.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences, in 2011 IEEE International Conference on Computer Vision ICCV, 2011, pp. 1692-1699.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences, in 2011 IEEE International Conference on Computer Vision ICCV, 2011, pp. 1692-1699.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, p. 1692 -- 1699.PDF icon Technical Report (4.9 MB)
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, pp. 1692 – 1699.
M. Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy, Nano Letters, vol. 11, pp. 3099-3107, 2011.

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