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Weber, M., &; Sixt, M. K. (2013). Live Cell Imaging of Chemotactic Dendritic Cell Migration in Explanted Mouse Ear Preparations. In A. Cardona &; E. Ubogu (Eds.), Chemokines (Vol. 1013, pp. 215–226). Totowa, NJ: Humana Press.https://doi.org/10.1007/978-1-62703-426-5_14 

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Beeler, T., Bickel, B., Noris, G., Beardsley, P., Marschner, S., Sumner, R., &; Groß, M. (2012). Coupled 3D reconstruction of sparse facial hair and skin. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/2185520.2185613 

BacHer, M., Bickel, B., James, D., &; Pfister, H. (2012). Fabricating articulated characters from skinned meshes. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/2185520.2185543 

Bickel, B., Kaufmann, P., Skouras, M., Thomaszewski, B., Bradley, D., Beeler, T.,https://doi.org/10.1145/2185520.2185614__Groß, M. (2012). Physical face cloning. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/2185520.2185614 

Miguel, E., Bradley, D., Thomaszewski, B., Bickel, B., Matusik, W., Otaduy, M., &; Marschner, S. (2012). Data-driven estimation of cloth simulation models (Vol. 31, pp. 519–528). Presented at the Computer Graphics Forum, Wiley-Blackwell.https://doi.org/10.1111/j.1467-8659.2012.03031.x 

Auzinger, T., Guthe, M., &; Jeschke, S. (2012). Analytic anti-aliasing of linear functions on polytopes (Vol. 31, pp. 335–344). Presented at the EUROGRAPHICS: European Association for Computer Graphics, Wiley-Blackwell.http://dx.doi.org/10.1111/j.1467-8659.2012.03012.x 

Budisantoso, T., Matsui, K., Kamasawa, N., Fukazawa, Y., &; Shigemoto, R. (2012). Mechanisms underlying signal filtering at a multisynapse contact. Journal of Neuroscience. Society for Neuroscience.https://doi.org/10.1523/JNEUROSCI.5243-11.2012 

Lampert, C. (2012). Dynamic pruning of factor graphs for maximum marginal prediction (Vol. 1, pp. 82–90). Presented at the NIPS: Neural Information Processing Systems, Lake Tahoe, NV, United States: Neural Information Processing Systems.

Kolmogorov, V., &; Schoenemann, T. (2012). Generalized sequential tree-reweighted message passing. arXiv. ArXiv.

Blaschko, M., &; Lampert, C. (2012). Guest editorial: Special issue on structured prediction and inference. International Journal of Computer Vision. Springer.https://doi.org/10.1007/s11263-012-0530-y 

Ion, A., Carreira, J., &; Sminchisescu, C. (2012). Image segmentation by figure-ground composition into maximal cliques. Presented at the ICCV: International Conference on Computer Vision, Barcelona, Spain: IEEE.https://doi.org/10.1109/ICCV.2011.6126486 

Lampert, C., &; Peters, J. (2012). Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. Journal of Real-Time Image Processing. Springer.https://doi.org/10.1007/s11554-010-0168-3 

Rieckh, G., Kreuzer, W., Waubke, H., &; Balazs, P. (2012). A 2.5D-Fourier-BEM model for vibrations in a tunnel running through layered anisotropic soil. https://doi.org/10.1016/j.enganabound.2011.12.014__Engineering Analysis with Boundary Elements. Elsevier.https://doi.org/10.1016/j.enganabound.2011.12.014 

Korc, F., Kolmogorov, V., &; Lampert, C. (2012). Approximating marginals using discrete energy minimization. Presented at the ICML: International Conference on Machine Learning, Edinburgh, Scotland: ICML.

Korc, F., Kolmogorov, V., &; Lampert, C. (2012). Approximating marginals using discrete energy minimization. IST Austria.https://doi.org/10.15479/AT:IST-2012-0003 

Rennella, E., Cutuil, T., Schanda, P., Ayala, I., Forge, V., &; Brutscher, B. (2012). Real-time NMR characterization of structure and dynamics in a transiently populated protein folding intermediate. Journal of the American Chemical Society. American Chemical Society.https://doi.org/10.1021/ja302598j 

Aeschbacher, S., Futschik, A., &; Beaumont, M. (2012). Data from: Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates. Dryad.https://doi.org/10.5061/dryad.274b1 

Osokin, A., Vetrov, D., &; Kolmogorov, V. (2011). Submodular decomposition framework for inference in associative Markov networks with global constraints (pp. 1889–1896). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE.https://doi.org/10.1109/CVPR.2011.5995361 

Tarlow, D., Batra, D., Kohli, P., &; Kolmogorov, V. (2011). Dynamic tree block coordinate ascent (pp. 113–120). Presented at the ICML: International Conference on Machine Learning, Omnipress.

Sixt, M. K., &; Lämmermann, T. (2011). In vitro analysis of chemotactic leukocyte migration in 3D environments. Cell Migration. Springer.https://doi.org/10.1007/978-1-61779-207-6_11 

Wagner, H., Chen, C., &; Vuçini, E. (2011). Efficient computation of persistent homology for cubical data. In R. Peikert, H. Hauser, H. Carr, &; R. Fuchs (Eds.), Topological Methods in Data Analysis and Visualization II (pp. 91–106). Springer.https://doi.org/10.1007/978-3-642-23175-9_7 

Zheng, Y., Gu, S., Edelsbrunner, H., Tomasi, C., &; Benfey, P. (2011). Detailed reconstruction of 3D plant root shape. Proceedings of the IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE.https://doi.org/10.1109/ICCV.2011.6126475 

Huber, M., Hiller, S., Schanda, P., Ernst, M., Böckmann, A., Verel, R., &; Meier, B. H. (2011). A proton-detected 4D solid-state NMR experiment for protein structure determination. ChemPhysChem. Wiley.https://doi.org/10.1002/cphc.201100062 

Nowozin, S., &; Lampert, C. (2011). Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. Now Publishers.https://doi.org/10.1561/0600000033 

Bickel, B. (2010). Measurement-based modeling and fabrication of deformable materials for human faces. Unknown. Unknown.https://doi.org/dx.doi.org/10.3929/ethz-a-006354908 

Beeler, T., Bickel, B., Beardsley, P., Sumner, B., &; Groß, M. (2010). High-quality single-shot capture of facial geometry. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/1778765.1778777 

Bickel, B., BacHer, M., Otaduy, M., Lee, H., Pfister, H., Groß, M., &; Matusik, W. (2010). Design and fabrication of materials with desired deformation behavior. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/1778765.1778800 

Nowozin, S., &; Lampert, C. (2010). Global interactions in random field models: A potential function ensuring connectedness. SIAM Journal on Imaging Sciences. Society for Industrial and Applied Mathematics .https://doi.org/10.1137/090752614 

Weber, M., &; Sixt, M. K. (2010). MEK signalling tunes actin treadmilling for interstitial lymphocyte migration. EMBO Journal. Wiley-Blackwell.https://doi.org/10.1038/emboj.2010.183 

Henzinger, T. A., Hottelier, T., Kovács, L., &; Voronkov, A. (2010). Invariant and type inference for matrices (Vol. 5944, pp. 163–179). Presented at the VMCAI: Verification, Model Checking and Abstract Interpretation, Madrid, Spain: Springer.https://doi.org/10.1007/978-3-642-11319-2_14 

Weber, K. P., De, S., Kozarewa, I., Turner, D. J., Babu, M. M., &; de Bono, M. (2010). Whole genome sequencing highlights genetic changes associated with laboratory domestication of C. elegans. PLoS ONE. Public Library of Science.https://doi.org/10.1371/journal.pone.0013922 

Giuliani, A., &; Seiringer, R. (2009). The ground state energy of the weakly interacting Bose gas at high density. Journal of Statistical Physics. Springer.https://doi.org/10.1007/s10955-009-9718-0 

Woodford, O., Rother, C., &; Kolmogorov, V. (2009). A global perspective on MAP inference for low level vision (pp. 2319–2326). Presented at the ICCV: International Conference on Computer Vision, IEEE.https://doi.org/10.1109/ICCV.2009.5459434 

Blaschko, M., &; Lampert, C. (2009). Object localization with global and local context kernels (pp. 1–11). Presented at the BMVC: British Machine Vision Conference, BMVA Press.https://doi.org/10.5244/C.23.63 

Lampert, C., &; Peters, J. (2009). A high-speed object tracker from off-the-shelf components. ICCV: International Conference on Computer Vision. IEEE.

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Lampert, C., &; Blaschko, M. (2009). Structured prediction by joint kernel support estimation. Machine Learning. Springer.https://doi.org/10.1007/s10994-009-5111-0 

Nowozin, S., &; Lampert, C. (2009). Global connectivity potentials for random field models (pp. 818–825). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE.https://doi.org/10.1109/CVPR.2009.5206567 

Lahiri, S., Qadeer, S., Galeotti, J., Voung, J., &; Wies, T. (2009). Intra-module Inference (pp. 493–508). Presented at the CAV: Computer Aided Verification, Springer.https://doi.org/1555 

Rastelli, A., Stoffel, M., Malachias, Â., Merdzhanova, T., Katsaros, G., Kern, K.,https://doi.org/10.1021/nl080290y__Schmidt, O. (2008). Three-dimensional composition profiles of single quantum dots determined by scanning-probe-microscopy-based nanotomography. Nano Letters. American Chemical Society.https://doi.org/10.1021/nl080290y 

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Ugelvig, L. V., Drijfhout, F., Kronauer, D., Boomsma, J., Pedersen, J., &; Cremer, S. (2008). The introduction history of invasive garden ants in Europe: integrating genetic, chemical and behavioural approaches. BMC Biology. BioMed Central.https://doi.org/10.1186/1741-7007-6-11 

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Kolmogorov, V., Boykov, Y., &; Rother, C. (2007). Applications of parametric maxflow in computer vision. Presented at the ICCV: International Conference on Computer Vision, IEEE.https://doi.org/10.1109/ICCV.2007.4408910 

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Bickel, B., Wicke, M., &; Gross, M. (2006). Adaptive simulation of electrical discharges. Presented at the VMV: Vision, Modeling, and Visualization, IOS Press.

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Rother, C., Kolmogorov, V., Minka, T., &; Blake, A. (2006). Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs (pp. 993–1000). Presented at the CVPR: Computer Vision and Pattern Recognition, IEEE.https://doi.org/10.1109/CVPR.2006.91 

Lampert, C., &; Breuel, T. (2006). Objective quality measurement for geometric document image restoration. Presented at the DAS: Document Analysis Systems, Springer.

Boykov, Y., Kolmogorov, V., Cremers, D., &; Delong, A. (2006). An integral solution to surface evolution PDEs via geo cuts (Vol. 3953, pp. 409–422). Presented at the ECCV: European Conference on Computer Vision, Springer.https://doi.org/10.1007/11744078_32 

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Drumea Mirancea, M., Wessels, J., Müller, C., Essl, M., Eble, J., Tolosa, E.,https://doi.org/10.1242/â€‹jcs.02840__Klein, G. (2006). Characterization of a conduit system containing laminin-5 in the human thymus: a potential transport system for small molecules. Journal of Cell Science. Company of Biologists.https://doi.org/10.1242/â€‹jcs.02840 

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Sixt, M. K., Kanazawa, N., Selg, M., Samson, T., Roos, G., Reinhardt, D.,https://doi.org/10.1016/j.immuni.2004.11.013__Sorokin, L. (2005). The conduit system transports soluble antigens from the afferent lymph to resident dendritic cells in the T cell area of the lymph node. Immunity. Cell Press.https://doi.org/10.1016/j.immuni.2004.11.013 

Ulges, A., Lampert, C., &; Breuel, T. (2004). Document capture using stereo vision (pp. 198–200). Presented at the DocEng: ACM Symposium on Document Engineering, ACM.https://doi.org/10.1145/1030397.1030434 

Henzinger, T. A., Jhala, R., &; Majumdar, R. (2004). Race checking by context inference (pp. 1–13). Presented at the PLDI: Programming Languages Design and Implementation, ACM.https://doi.org/10.1145/996841.996844 

Panchenko, A., Kondrashov, F., &; Bryant, S. (2004). Prediction of functional sites by analysis of sequence and structure conservation. Protein Science. Wiley-Blackwell.https://doi.org/10.1110/ps.03465504 

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Boykov, Y., &; Kolmogorov, V. (2003). Computing geodesics and minimal surfaces via graph cuts (Vol. 1, pp. 26–33). Presented at the ICCV: International Conference on Computer Vision, IEEE.https://doi.org/10.1109/ICCV.2003.1238310 

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