Persönlicher Status und Werkzeuge

Conference and Workshop Papers
2015
Entropy Minimization for Convex Relaxation Approaches (M. Souiai, M. R. Oswald, Y. Kee, J. Kim, M. Pollefeys, D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. (accepted) [bib] [pdf]
Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images (M. Jaimez, M. Souiai, J. Stueckler, J. Gonzalez-Jimenez, D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015. ([video]) [bib] [pdf]
A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow (M. Jaimez, M. Souiai, J. Gonzalez-Jimenez, D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2015. ([video]) [bib] [pdf]
2014
Towards Illumination-invariant 3D Reconstruction using ToF RGB-D Cameras (C. Kerl, M. Souiai, J. Sturm, D. Cremers), In International Conference on 3D Vision (3DV), 2014. ([supplementary]) [bib] [pdf]
Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes (R. Triebel, J. Stühmer, M. Souiai, D. Cremers), In German Conference on Pattern Recognition, 2014. [bib] [pdf]
Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation (Y. Kee, M. Souiai, D. Cremers, J. Kim), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [bib] [pdf]
Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers, J.I. Sperl), In Organization for Human Brain Mapping (OHBM) Annual Meeting, 2014. [bib]
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 (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers, J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014. [bib]
2013
Performance Evaluation of Narrow Band Methods for Variational Stereo (F. Stangl, M. Souiai, D. Cremers), In 35th German Conference on Pattern Recognition (GCPR), 2013. [bib] [pdf]
A Co-occurrence Prior for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013. [bib] [pdf]
Proximity Priors for Variational Semantic Segmentation and Recognition (J. Bergbauer, C. Nieuwenhuis, M. Souiai, D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013. [bib] [pdf] [doi]
Convex Optimization for Scene Understanding (M. Souiai, C. Nieuwenhuis, E. Strekalovskiy, D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013. [bib] [pdf]
2012
Wehrli 2.0: An Algorithm for ”Tidying up Art” (N. Ufer, M. Souiai, D. Cremers), In VISART “Where Computer Vision Meets Art” workshop, ECCV 2012, Springer, 2012. [bib] [pdf]
Masters Thesis
2010
Newton Methods for Total Variation Minimization (M. Souiai), Master's thesis, Computer Vision Group, TU Munich, 2010. [bib] [pdf]
Other Publications
2013
Label Configuration Priors for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis, D. Cremers), 2013. [bib] [pdf]
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Last edited 20.09.2011 17:02 by Quirin Lohr