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J. Yarkony, Zhang, C., and Fowlkes, C. C., Hierarchical Planar Correlation Clustering for Cell Segmentation, in EMMCVPR. Proceedings, 2014, vol. 8932, pp. 492-504.PDF icon Technical Report (548.12 KB)
J. Yarkony, Beier, T., Baldi, P., and Hamprecht, F. A., Parallel Multicut Segmentation via Dual Decomposition, in New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers, 2014.
P. Yarlagadda and Ommer, B., Beyond the Sum of Parts: Voting with Groups of Dependent Entities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, p. 1134--1147, 2015.
P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., Towards a Computer-based Understanding of Medieval Images, in Scientific Computing & Cultural Heritage, Springer, 2013, p. 89--97.
P. Yarlagadda and Ommer, B., From Meaningful Contours to Discriminative Object Shape, in Proceedings of the European Conference on Computer Vision, 2012, vol. 7572, p. 766--779.PDF icon Technical Report (4.58 MB)
P. Yarlagadda, Eigenstetter, A., and Ommer, B., Learning Discriminative Chamfer Regularization, in BMVC, 2012, p. 1--11.
P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., Top-down Analysis of Low-level Object Relatedness Leading to Semantic Understanding of Medieval Image Collections, in Conference on Computer Vision and Image Analysis of Art II, 2011, vol. 7869, p. 61--69.PDF icon Technical Report (11.06 MB)
P. Yarlagadda, Monroy, A., and Ommer, B., Voting by Grouping Dependent Parts, in Proceedings of the European Conference on Computer Vision, 2010, vol. 6315, p. 197--210.PDF icon Technical Report (2.99 MB)
P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., Recognition and Analysis of Objects in Medieval Images, in Proceedins of the Aian Conference on Computer Vision, Workshop on e-Heritage, 2010, p. 296--305.PDF icon Technical Report (2.76 MB)
P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., Towards a Computer-based Understanding of Medieval Images, in Scientific Computing & Cultural Heritage, 2009, p. 89--97.
J. Yuan, Schnörr, C., and Steidl, G., Total-Variation Based Piecewise Affine Regularization, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.
J. Yuan, Schnörr, C., Steidl, G., and Becker, F., A Study of Non-Smooth Convex Flow Decomposition, in Proc. Variational, Geometric and Level Set Methods in Computer Vision, 2005, vol. 3752, pp. 1–12.
J. Yuan, Schnörr, C., and Steidl, G., Simultaneous Optical Flow Estimation and Decomposition, SIAM J. Scientific Computing, vol. 29, pp. 2283-2304, 2007.
J. Yuan, Schnörr, C., Kohlberger, T., and Ruhnau, P., Convex Set-Based Estimation of Image Flows, in ICPR 2004 – 17th Int. Conf. on Pattern Recognition, Cambridge, UK, 2004, vol. 1, pp. 124-127.
J. Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation, in Scale-Space 2005, 2005, vol. 3459, pp. 267–278.
J. Yuan, Steidl, G., and Schnörr, C., Convex Hodge Decomposition of Image Flows, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 416--425.PDF icon Technical Report (290.72 KB)
J. Yuan, Schnörr, C., and Steidl, G., Total-Variation Based Piecewise Affine Regularization, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.PDF icon Technical Report (478.04 KB)
J. Yuan, Schnörr, C., and Steidl, G., Simultaneous Optical Flow Estimation and Decomposition, SIAM J.~Scientific Computing, vol. 29, pp. 2283-2304, 2007.PDF icon Technical Report (1.16 MB)
J. Yuan, Schnörr, C., and Steidl, G., Convex Hodge Decomposition and Regularization of Image Flows, J.~Math.~Imag.~Vision, vol. 33, pp. 169-177, 2009.PDF icon Technical Report (1003.75 KB)
J. Yuan, Schnörr, C., and Mémin, E., Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation, J.~Math.~Imag.~Vision, vol. 28, pp. 67-80, 2007.PDF icon Technical Report (752.44 KB)