2015
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C.,
“A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”,
International Journal of Computer Vision, pp. 1-30, 2015.
Technical Report (1.5 MB) J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C.,
“A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”,
Int.~J.~Comp.~Vision, 2015.
Technical Report (5.12 MB) J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C.,
“A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”,
International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C.,
“A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”,
International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C.,
“A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”,
International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
A. Neufeld, Berger, J., Becker, F., Lenzen, F., and Schnörr, C.,
“Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework”, in
37th German Conference on Pattern Recognition, 2015.
H. Abu Alhaija, Sellent, A., Kondermann, D., and Rother, C.,
“Graphflow—6D large displacement scene flow via graph matching”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 285–296.
M. Schiegg, Hanslovsky, P., Haubold, C., Köthe, U., Hufnagel, L., and Hamprecht, F. A.,
“Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell”,
Bioinformatics, vol. 31, no. 6, pp. 948-956, 2015.
Technical Report (534.29 KB) N. Krasowski, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A.,
“Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors”, in
12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015, 2015, pp. 536-539.
Technical Report (2.25 MB) A. Kirillov, Savchynskyy, B., Schlesinger, D., Vetrov, D., and Rother, C.,
“Inferring M-best diverse labelings in a single one”, in
Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 1814–1822.
K. Schelten, Nowozin, S., Jancsary, J., Rother, C., and Roth, S.,
“Interleaved regression tree field cascades for blind image deconvolution”, in
Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, 2015, pp. 494–501.
A. Krull, Brachmann, E., Michel, F., Yang, M. Ying, Gumhold, S., and Rother, C.,
“Learning analysis-by-synthesis for 6d pose estimation in RGB-D images”, in
Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 954–962.
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) B. Krolla, Diebold, M., and Stricker, D.,
“Light Field from Smartphone-Based Dual Video”, in
Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part II, Cham: Springer International Publishing, 2015, pp. 600–610.
M. Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C. S., Baker, H., and Jähne, B.,
“Light-field camera design for high-accuracy depth estimation”,
Videometrics, Range Imaging, and Applications XIII. 2015.
M. Diebold, Blum, O., Gutsche, M., Wanner, S., Garbe, C., Baker, H., and Jähne, B.,
“Light-field camera design for high-accuracy depth estimation”, in
Videometrics, Range Imaging, and Applications XIII, 2015.
A. Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B.,
“M-best-diverse labelings for submodular energies and beyond”, in
Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613–621.
E. Mesarchaki, Kräuter, C., Krall, K. Ellen, Bopp, M., Helleis, F., Williams, J., and Jähne, B.,
“Measuring air–sea gas-exchange velocities in a large-scale annular wind–wave tank”,
Ocean Sci., vol. 11, p. 121--138, 2015.
S. Zheng, Prisacariu, V. Adrian, Averkiou, M., Cheng, M. Ming, Mitra, N. J., Shotton, J., Torr, P. H. S., and Rother, C.,
“Object proposals estimation in depth image using compact 3D shape manifolds”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9358, pp. 196–208.
B. Jähne,
“The ocean in the lab: measurements with light and shadow”,
Ruperto Carola Forschungsmagazin Heidelberg University, vol. 7, pp. 52–59, 2015.
N. J. Mitra, Stam, J., Xu, K., Cheng, M. - M., Prisacariu, V. Adrian, Zheng, S., Torr, P. H. S., and Rother, C.,
“Pacific Graphics 2015 DenseCut: Densely Connected CRFs for Realtime GrabCut”, vol. 34, 2015.