L. Maier-Hein, Schmidt, M., Franz, A. M., Santos, T. R. dos, Seitel, A., Jähne, B., Fitzpatrick, J. M., and Meinzer, H. - P.,
“Accounting for anisotropic noise in fine registration of time-of-flight range data with high-resolution surface data”, in
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), 2010, vol. 6361, p. 251--258.
L. Maier-Hein, Schmidt, M., Franz, A. M., Santos, T. R. dos, Seitel, A., Jähne, B., Fitzpatrick, J. M., and Meinzer, H. - P.,
“Accounting for anisotropic noise in fine registration of time-of-flight range data with high-resolution surface data”, in
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), 2010, vol. 6361, p. 251--258.
J. Fehr and Burkhardt, H.,
“A Bag of Features Approach for 3D Shape Retrieval”, in
Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 34-43.
J. Keuchel, Schellewald, C., Cremers, D., and Schnörr, C.,
“Convex Relaxations for Binary Image Partitioning and Perceptual Grouping”, in
Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 353–360.
J. Fehr, Reisert, M., and Burkhardt, H.,
“Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches”, in
Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 287-296.
A. Bruhn, Jakob, T., Fischer, M., Kohlberger, T., Weickert, J., Brüning, U., and Schnörr, C.,
“Designing 3–D Nonlinear Diffusion Filters for High Performance Cluster Computing”, in
Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 290–297.
C. Schellewald, Roth, S., and Schnörr, C.,
“Evaluation of Convex Optimization Techniques for the Weighted Graph–Matching Problem in Computer Vision”, in
Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 361–368.
M. Hornáček, Besse, F., Kautz, J., Fitzgibbon, A., and Rother, C.,
“Highly overparameterized optical flow using PatchMatch belief propagation”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8691 LNCS, pp. 220–234.
C. Schellewald, Keuchel, J., and Schnörr, C.,
“Image labeling and grouping by minimizing linear functionals over cones”, in
Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), INRIA, Sophia Antipolis, France, 2001, vol. 2134, pp. 267–282.
M. Wenig, Leue, C., Kraus, S., Wagner, T., Platt, U., and Jähne, B.,
“Image sequence analysis of satellite NO$_2$ concnetration maps”, in
Pattern Recognition, 23rd DAGM Symposium Munich, 2001, vol. 2191, p. 223--230.
J. Funke, Hamprecht, F. A., and Zhang, C.,
“Learning to Segment: Training Hierarchical Segmentation under a Topological Loss”, in
MICCAI. Proceedings, Part III, 2015, vol. 9351, pp. 268-275.
Technical Report (2.92 MB) J. Funke, Hamprecht, F. A., and Zhang, C.,
“Learning to Segment: Training Hierarchical Segmentation under a Topological Loss”, in
MICCAI. Proceedings, Part III, 2015, vol. 9351, pp. 268-275.
Technical Report (2.92 MB) P. Pinggera, Ramos, S., Gehrig, S., Franke, U., Rother, C., and Mester, R.,
“Lost and found: Detecting small road hazards for self-driving vehicles”, in
IEEE International Conference on Intelligent Robots and Systems, 2016, vol. 2016-Novem, pp. 1099–1106.
D. Cremers, Kohlberger, T., and Schnörr, C.,
“Nonlinear Shape Statistics via Kernel Spaces”, in
Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 269–276.