% generated by bibtexbrowser % % Encoding: UTF-8 @mastersthesis{so10, author = {M. Souiai}, title = {Newton Methods for Total Variation Minimization}, month = {June}, year = {2010}, address = {Germany}, school = {Computer Vision Group, TU Munich}, topic = {Optimization}, titleurl = {souiai_diploma_thesis.pdf}, } @inproceedings{souiai-et-al-wiccv13, author = {M. Souiai and C. Nieuwenhuis and E. Strekalovskiy and D. Cremers}, title = {Convex Optimization for Scene Understanding}, booktitle = {ICCV Workshop on Graphical Models for Scene Understanding}, year = {2013}, titleurl = {souiai-et-al-wiccv13.pdf}, keywords = {segmentation}, } @techreport{souiai_tr_13, author = {M. Souiai and E. Strekalovskiy and C. Nieuwenhuis and D. Cremers}, title = {Label Configuration Priors for Continuous Multi-Label Optimization}, type = {Technical report}, school = {Computer Vision Group, TU Munich}, titleurl = {souiai_tr_13.pdf}, year = {2013}, topic = {Convex Relaxation Methods,Image Segmentation}, keywords = {convex-relaxation,label configuration priors,medical imaging}, } @inproceedings{bergbauer-et-al-wiccv13, author = {J. Bergbauer and C. Nieuwenhuis and M. Souiai and D. Cremers}, title = {Proximity Priors for Variational Semantic Segmentation and Recognition}, booktitle = {ICCV Workshop on Graphical Models for Scene Understanding}, year = {2013}, titleurl = {bergbauer-et-al-wiccv13.pdf}, doi = {10.1109/ICCVW.2013.132}, keywords = {segmentation,diebold}, } @inproceedings{Golkov-et-al-ismrm14-6d-cs, author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl}, title = {Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization}, booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting}, year = {2014}, keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total generalized variation, primal-dual}, } @inproceedings{Golkov-et-al-ohbm14, author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl}, title = {Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using {6-D} Compressed Sensing}, booktitle = {Organization for Human Brain Mapping (OHBM) Annual Meeting}, year = {2014}, keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total generalized variation, primal-dual}, } @inproceedings{ufer_et_al_eccv12, author = {N. Ufer and M. Souiai and D. Cremers}, title = {Wehrli 2.0: An Algorithm for ”Tidying up Art”}, booktitle = {VISART “Where Computer Vision Meets Art” workshop, ECCV 2012}, year = {2012}, address = {Firenze, Italy}, month = {oct}, publisher = {Springer}, topic = {Segmentation}, keywords = {convex-relaxation, segmentation}, titleurl = {ufer_et_al_eccv12.pdf}, } @inproceedings{souiai-et-al-emmcvpr13, author = {M. Souiai and E. Strekalovskiy and C. Nieuwenhuis and D. Cremers}, title = {A Co-occurrence Prior for Continuous Multi-Label Optimization}, booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}, year = {2013}, topic = {Convex Relaxation Methods, Segmentation}, keywords = {convex-relaxation}, } @inproceedings{stangl-et-al-13, author = {F. Stangl and M. Souiai and D. Cremers}, title = {Performance Evaluation of Narrow Band Methods for Variational Stereo}, booktitle = {35th German Conference on Pattern Recognition (GCPR)}, year = {2013}, titleurl = {stangl_et_al_gcpr13.pdf}, keywords = {convex-relaxation}, } @inproceedings{kee-cvpr14, author = {Y. Kee and M. Souiai and D. Cremers and J. Kim}, title = {Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2014}, titleurl = {kee-cvpr14.pdf}, topic = {Image Segmentation, Convex Relaxation, Information Theory}, } @article{KeeLSCK17, author = {Y. Kee and Y. Lee and M. Souiai and D. Cremers and J. Kim}, title = {Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization}, journal = {{SIAM} J. Imaging Sci.}, volume = {10}, number = {4}, pages = {1845--1877}, year = {2017}, } @inproceedings{triebel14active, author = {R. Triebel and J. Stühmer and M. Souiai and D. Cremers}, title = {Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes}, booktitle = {German Conference on Pattern Recognition}, year = {2014}, topic = {Segmentation}, } @inproceedings{kerl143dv, author = {C. Kerl and M. Souiai and J. Sturm and D. Cremers}, title = {Towards Illumination-invariant 3D Reconstruction using ToF RGB-D Cameras}, booktitle = {International Conference on 3D Vision ({3DV})}, year = {2014}, keywords = {3d reconstruction,rgb-d,tof}, } @inproceedings{jaimez15icra, author = {M. Jaimez and M. Souiai and J. Gonzalez-Jimenez and D. Cremers}, title = {A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow}, booktitle = {Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA)}, year = {2015}, keywords = {scene-flow,rgb-d,primal-dual,real time}, titleurl = {jaimez_et_al_15.pdf}, } @inproceedings{jaimez15_mocoop, author = {M. Jaimez and M. Souiai and J. Stueckler and J. Gonzalez-Jimenez and D. Cremers}, title = {Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images}, booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)}, month = {oct}, year = {2015}, keywords = {scene-flow,motion segmentation,rgb-d,primal-dual}, titleurl = {jaimez_et_al_3dv15.pdf}, } @inproceedings{souiai-iccv15, author = {M. Souiai and M. R. Oswald and Y. Kee and J. Kim and M. Pollefeys and D. Cremers}, title = {Entropy Minimization for Convex Relaxation Approaches}, booktitle = {IEEE International Conference on Computer Vision (ICCV)}, year = {2015}, address = {Santiago, Chile}, titleurl = {souiai-iccv15.pdf}, keywords = {convex relaxation,DC programming, image segmentation, 3D reconstruction}, }