| Fast cost-volume filtering for visual correspondence and beyond A Hosni, C Rhemann, M Bleyer, C Rother, M Gelautz IEEE transactions on pattern analysis and machine intelligence 35 (2), 504-511, 2012 | 1334 | 2012 |
| Patchmatch stereo-stereo matching with slanted support windows. M Bleyer, C Rhemann, C Rother Bmvc 11, 1-11, 2011 | 762 | 2011 |
| Local stereo matching using geodesic support weights A Hosni, M Bleyer, M Gelautz, C Rhemann 2009 16th IEEE International Conference on Image Processing (ICIP), 2093-2096, 2009 | 328 | 2009 |
| Surface stereo with soft segmentation M Bleyer, C Rother, P Kohli 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 242 | 2010 |
| A layered stereo matching algorithm using image segmentation and global visibility constraints M Bleyer, M Gelautz ISPRS Journal of Photogrammetry and remote sensing 59 (3), 128-150, 2005 | 230 | 2005 |
| Object stereo—joint stereo matching and object segmentation M Bleyer, C Rother, P Kohli, D Scharstein, S Sinha CVPR 2011, 3081-3088, 2011 | 206 | 2011 |
| A layered stereo algorithm using image segmentation and global visibility constraints M Bleyer, M Gelautz 2004 International Conference on Image Processing, 2004. ICIP'04. 5, 2997-3000, 2004 | 183 | 2004 |
| Graph-cut-based stereo matching using image segmentation with symmetrical treatment of occlusions M Bleyer, M Gelautz Signal Processing: Image Communication 22 (2), 127-143, 2007 | 167 | 2007 |
| MonoFusion: Real-time 3D reconstruction of small scenes with a single web camera V Pradeep, C Rhemann, S Izadi, C Zach, M Bleyer, S Bathiche 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 83-88, 2013 | 151 | 2013 |
| Graph-based surface reconstruction from stereo pairs using image segmentation M Bleyer, M Gelautz Videometrics VIII 5665, 288-299, 2005 | 143 | 2005 |
| Secrets of adaptive support weight techniques for local stereo matching A Hosni, M Bleyer, M Gelautz Computer Vision and Image Understanding 117 (6), 620-632, 2013 | 142 | 2013 |
| Simple but Effective Tree Structures for Dynamic Programming-Based Stereo Matching. M Bleyer, M Gelautz VISAPP (2), 415-422, 2008 | 126 | 2008 |
| Real-time local stereo matching using guided image filtering A Hosni, M Bleyer, C Rhemann, M Gelautz, C Rother 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 108 | 2011 |
| A stereo approach that handles the matting problem via image warping M Bleyer, M Gelautz, C Rother, C Rhemann 2009 IEEE Conference on Computer Vision and Pattern Recognition, 501-508, 2009 | 70 | 2009 |
| Temporally consistent disparity and optical flow via efficient spatio-temporal filtering A Hosni, C Rhemann, M Bleyer, M Gelautz Advances in Image and Video Technology: 5th Pacific Rim Symposium, PSIVT …, 2012 | 62 | 2012 |
| Temporally consistent disparity maps from uncalibrated stereo videos M Bleyer, M Gelautz 2009 Proceedings of 6th International Symposium on Image and Signal …, 2009 | 56 | 2009 |
| Extracting 3d scene-consistent object proposals and depth from stereo images M Bleyer, C Rhemann, C Rother Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 53 | 2012 |
| IPD correction and reprojection for accurate mixed reality object placement Y Zhu, M Bleyer, DCP Demandolx, RK Price US Patent 10,437,065, 2019 | 47 | 2019 |
| Does color really help in dense stereo matching M Bleyer, S Chambon Proceedings of the international symposium 3D data processing, visualization …, 2010 | 47 | 2010 |
| Stereo matching—State-of-the-art and research challenges M Bleyer, C Breiteneder Advanced topics in computer vision, 143-179, 2013 | 44 | 2013 |
Margrit GelautzVienna University of TechnologyVerified email at tuwien.ac.at
