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ORCID9. EMMCVPR 2013: Lund, Sweden
- Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings. Lecture Notes in Computer Science 8081, Springer 2013, ISBN 978-3-642-40394-1
Medical Imaging
- Haithem Boussaid, Iasonas Kokkinos, Nikos Paragios:
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation. 1-11 - Jing Yuan, Eranga Ukwatta
, Wu Qiu, Martin Rajchl, Yue Sun, Xue-Cheng Tai, Aaron Fenster:
Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets. 12-25
Image Editing
- Joachim Weickert, Kai Uwe Hagenburg, Michael Breuß, Oliver Vogel:
Linear Osmosis Models for Visual Computing. 26-39 - David P. Wipf, Haichao Zhang:
Analysis of Bayesian Blind Deconvolution. 40-53 - Motong Qiao, Wei Wang, Michael K. Ng:
A Variational Method for Expanding the Bit-Depth of Low Contrast Image. 54-65
3D Reconstruction
- Stefan Heber, René Ranftl, Thomas Pock:
Variational Shape from Light Field. 66-79 - Johannes Ulén, Carl Olsson:
Simultaneous Fusion Moves for 3D-Label Stereo. 80-93 - Thomas Möllenhoff, Claudia Nieuwenhuis, Eno Töppe, Daniel Cremers:
Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints. 94-107
Shape Matching
- Benjamin Berkels, P. Thomas Fletcher, Behrend Heeren, Martin Rumpf, Benedikt Wirth:
Discrete Geodesic Regression in Shape Space. 108-122 - Bernhard Schmitzer, Christoph Schnörr:
Object Segmentation by Shape Matching with Wasserstein Modes. 123-136 - Boris Yangel, Dmitry P. Vetrov:
Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data. 137-150
Image Restoration
- Laurent Hoeltgen, Simon Setzer, Joachim Weickert:
An Optimal Control Approach to Find Sparse Data for Laplace Interpolation. 151-164 - John MacCormick, Andrew W. Fitzgibbon:
Curvature Regularization for Resolution-Independent Images. 165-179
Scene Understanding
- Vibhav Vineet, Glenn Sheasby, Jonathan Warrell, Philip H. S. Torr:
PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth. 180-194 - Brian Taylor, Alper Ayvaci, Avinash Ravichandran, Stefano Soatto:
Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework. 195-208 - Mohamed Souiai, Evgeny Strekalovskiy, Claudia Nieuwenhuis, Daniel Cremers:
A Co-occurrence Prior for Continuous Multi-label Optimization. 209-222
Segmentation I
- Egil Bae, Jan Lellmann, Xue-Cheng Tai:
Convex Relaxations for a Generalized Chan-Vese Model. 223-236 - Xiaohao Cai, Gabriele Steidl:
Multiclass Segmentation by Iterated ROF Thresholding. 237-250 - Jun Liu, Xue-Cheng Tai, Shingyu Leung:
A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation. 251-265
Superpixels
- Björn Andres, Julian Yarkony, B. S. Manjunath, Steffen Kirchhoff, Engin Türetken, Charless C. Fowlkes, Hanspeter Pfister:
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs. 266-279 - Christian Conrad, Matthias Mertz, Rudolf Mester:
Contour-Relaxed Superpixels. 280-293
Statistical Methods and Learning
- Chenyang Shen, Liping Jing, Michael K. Ng:
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. 294-306 - André Lourenço, Samuel Rota Bulò, Ana L. N. Fred, Marcello Pelillo:
Consensus Clustering with Robust Evidence Accumulation. 307-320
Segmentation II
- Paul Swoboda, Christoph Schnörr:
Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. 321-334 - Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
A Convex Formulation for Global Histogram Based Binary Segmentation. 335-349 - Dmitrij Schlesinger:
A Continuous Shape Prior for MRF-Based Segmentation. 350-361
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