| A taxonomy and evaluation of dense two-frame stereo correspondence algorithms D Scharstein, R Szeliski International journal of computer vision 47 (1), 7-42, 2002 | 10832 | 2002 |
| A comparison and evaluation of multi-view stereo reconstruction algorithms SM Seitz, B Curless, J Diebel, D Scharstein, R Szeliski 2006 IEEE computer society conference on computer vision and pattern …, 2006 | 3704 | 2006 |
| A database and evaluation methodology for optical flow S Baker, D Scharstein, JP Lewis, S Roth, MJ Black, R Szeliski International journal of computer vision 92 (1), 1-31, 2011 | 3530 | 2011 |
| High-accuracy stereo depth maps using structured light D Scharstein, R Szeliski 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 2453 | 2003 |
| High-resolution stereo datasets with subpixel-accurate ground truth D Scharstein, H Hirschmüller, Y Kitajima, G Krathwohl, N Nešić, X Wang, ... German Conference on Pattern Recognition, 31-42, 2014 | 1716 | 2014 |
| Evaluation of cost functions for stereo matching H Hirschmuller, D Scharstein 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 1662 | 2007 |
| A comparative study of energy minimization methods for markov random fields with smoothness-based priors R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ... IEEE transactions on pattern analysis and machine intelligence 30 (6), 1068-1080, 2008 | 1371 | 2008 |
| Learning conditional random fields for stereo D Scharstein, C Pal 2007 IEEE conference on computer vision and pattern recognition, 1-8, 2007 | 1231 | 2007 |
| Evaluation of stereo matching costs on images with radiometric differences H Hirschmuller, D Scharstein IEEE transactions on pattern analysis and machine intelligence 31 (9), 1582-1599, 2008 | 1019 | 2008 |
| A comparative study of energy minimization methods for markov random fields R Szeliski, R Zabih, D Scharstein, O Veksler, V Kolmogorov, A Agarwala, ... European conference on computer vision, 16-29, 2006 | 540 | 2006 |
| Stereo matching with nonlinear diffusion D Scharstein, R Szeliski International journal of computer vision 28 (2), 155-174, 1998 | 463 | 1998 |
| Middlebury stereo vision page D Scharstein, R Szeliski, H Hirschmüller | 215 | 2002 |
| Object stereo—joint stereo matching and object segmentation M Bleyer, C Rother, P Kohli, D Scharstein, S Sinha CVPR 2011, 3081-3088, 2011 | 214 | 2011 |
| Capturing and inferring dense full-body human-scene contact CHP Huang, H Yi, M Höschle, M Safroshkin, T Alexiadis, S Polikovsky, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 197 | 2022 |
| View synthesis using stereo vision D Scharstein Springer Berlin Heidelberg, 2001 | 193 | 2001 |
| Image-based rendering for scenes with reflections SN Sinha, J Kopf, M Goesele, D Scharstein, R Szeliski ACM Transactions on Graphics (TOG) 31 (4), 1-10, 2012 | 163 | 2012 |
| Efficient high-resolution stereo matching using local plane sweeps SN Sinha, D Scharstein, R Szeliski Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 158 | 2014 |
| Matching images by comparing their gradient fields D Scharstein Proceedings of 12th International Conference on Pattern Recognition 1, 572-575, 1994 | 138 | 1994 |
| Sampling the disparity space image R Szeliski, D Scharstein IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (3), 419-425, 2004 | 128 | 2004 |
| An Empirical Camera Model for Internet Color Vision. A Chakrabarti, D Scharstein, TE Zickler BMVC 1 (2), 4, 2009 | 127 | 2009 |
Richard SzeliskiGoogle DeepMind + CSE, The University of WashingtonVerified email at cs.washington.edu
