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ORCID11th EMMCVPR 2017: Venice, Italy
- Marcello Pelillo, Edwin R. Hancock:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10746, Springer 2018, ISBN 978-3-319-78198-3
Clustering and Quantum Methods
- Christian Bauckhage
, Eduardo Brito, Kostadin Cvejoski, César Ojeda, Rafet Sifa, Stefan Wrobel:
Ising Models for Binary Clustering via Adiabatic Quantum Computing. 3-17 - Davi Geiger, Zvi M. Kedem:
Quantum Interference and Shape Detection. 18-33 - Stefan Kinauer, Riza Alp Güler, Siddhartha Chandra, Iasonas Kokkinos:
Structured Output Prediction and Learning for Deep Monocular 3D Human Pose Estimation. 34-48 - Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo:
Dominant Set Biclustering. 49-61 - Francisco Escolano, Edwin R. Hancock:
Bragg Diffraction Patterns as Graph Characteristics. 62-75
Motion and Tracking
- Michael Stoll, Daniel Maurer, Andrés Bruhn:
Variational Large Displacement Optical Flow Without Feature Matches. 79-92 - Nazrul Haque, N. Dinesh Reddy, K. Madhava Krishna:
Temporal Semantic Motion Segmentation Using Spatio Temporal Optimization. 93-108 - Chris Ying, Katerina Fragkiadaki:
Depth-Adaptive Computational Policies for Efficient Visual Tracking. 109-122 - Jonas Geiping, Hendrik Dirks, Daniel Cremers, Michael Möller:
Multiframe Motion Coupling for Video Super Resolution. 123-138 - Michael Stoll, Daniel Maurer, Sebastian Volz, Andrés Bruhn:
Illumination-Aware Large Displacement Optical Flow. 139-154 - Shengze Cai, Étienne Mémin, Pierre Dérian, Chao Xu:
Location Uncertainty Principle: Toward the Definition of Parameter-Free Motion Estimators. 155-171
Image Processing and Segmentation
- Yusuf Osmanlioglu, Bahareh Shakibajahromi, Ali Shokoufandeh:
Autonomous Multi-camera Tracking Using Distributed Quadratic Optimization. 175-188 - Maria Klodt, Raphael A. Hauser:
Nonlinear Compressed Sensing for Multi-emitter X-Ray Imaging. 189-204 - Naftali Zon, Nahum Kiryati:
Unified Functional Framework for Restoration of Image Sequences Degraded by Atmospheric Turbulence. 205-219 - Laurent Condat:
A Convex Approach to K-Means Clustering and Image Segmentation. 220-234 - Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis:
Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. 235-248 - Thomas Grandits, Thomas Pock:
Optimizing Wavelet Bases for Sparser Representations. 249-262 - Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr:
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. 263-277 - Abraham Marciano, Laurent D. Cohen, Najib Gadi:
Vehicle X-Ray Images Registration. 278-293
Colour, Shading and Reflectance of Light
- Vitaliy Kurlin, Donald Harvey:
Superpixels Optimized by Color and Shape. 297-311 - Pulak Purkait, Christopher Zach, Anders P. Eriksson:
Maximum Consensus Parameter Estimation by Reweighted \ell _1 ℓ 1 Methods. 312-327 - Robert Scheffler, Ashkan Mansouri Yarahmadi, Michael Breuß, Ekkehard Köhler:
A Graph Theoretic Approach for Shape from Shading. 328-341 - Yvain Quéau, Jean Mélou, Fabien Castan, Daniel Cremers, Jean-Denis Durou:
A Variational Approach to Shape-from-Shading Under Natural Illumination. 342-357 - Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm. 358-371 - Antonin Sulc, Ole Johannsen, Bastian Goldluecke:
Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination. 372-388 - Anna Alperovich, Ole Johannsen, Michael Strecke, Bastian Goldluecke:
Shadow and Specularity Priors for Intrinsic Light Field Decomposition. 389-406
Propagation and Time-Evolution
- Leif Bergerhoff, Giovanno Marcelo Cárdenas, Joachim Weickert, Martin Welk:
Modelling Stable Backward Diffusion and Repulsive Swarms with Convex Energies and Range Constraints. 409-423 - Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Euler-Lagrange Network Dynamics. 424-438 - Matthew B. Blaschko:
Slack and Margin Rescaling as Convex Extensions of Supermodular Functions. 439-454 - Lena Gorelick, Olga Veksler:
Multi-object Convexity Shape Prior for Segmentation. 455-468 - Da Chen, Laurent D. Cohen:
Fast Asymmetric Fronts Propagation for Voronoi Region Partitioning and Image Segmentation. 469-484 - Fang Yang, Alfred M. Bruckstein, Laurent D. Cohen:
PointFlow: A Model for Automatically Tracing Object Boundaries and Inferring Illusory Contours. 485-498 - Emmanuel Cohen, Laurent D. Cohen, Thomas Deffieux, Mickaël Tanter:
An Isotropic Minimal Path Based Framework for Segmentation and Quantification of Vascular Networks. 499-513
Inference, Labeling and Relaxation
- Christopher Zach:
Limited-Memory Belief Propagation via Nested Optimization. 517-532 - Artjom Zern, Karl Rohr, Christoph Schnörr:
Geometric Image Labeling with Global Convex Labeling Constraints. 533-547 - Christopher Zach, Christian Häne:
Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model. 548-563 - Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr:
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. 564-579
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