A fast area-based stereo matching algorithm L Di Stefano, M Marchionni, S Mattoccia Image and vision computing 22 (12), 983-1005, 2004 | 449 | 2004 |
Segmentation-based adaptive support for accurate stereo correspondence F Tombari, S Mattoccia, L Di Stefano Advances in Image and Video Technology: Second Pacific Rim Symposium, PSIVT …, 2007 | 293 | 2007 |
Classification and evaluation of cost aggregation methods for stereo correspondence F Tombari, S Mattoccia, L Di Stefano, E Addimanda 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 288 | 2008 |
Real-time self-adaptive deep stereo A Tonioni, F Tosi, M Poggi, S Mattoccia, LD Stefano Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 271 | 2019 |
ZNCC-based template matching using bounded partial correlation L Di Stefano, S Mattoccia, F Tombari Pattern recognition letters 26 (14), 2129-2134, 2005 | 269 | 2005 |
Learning monocular depth estimation infusing traditional stereo knowledge F Tosi, F Aleotti, M Poggi, S Mattoccia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 219 | 2019 |
On the uncertainty of self-supervised monocular depth estimation M Poggi, F Aleotti, F Tosi, S Mattoccia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 196 | 2020 |
Fast template matching using bounded partial correlation L Di Stefano, S Mattoccia Machine Vision and Applications 13, 213-221, 2003 | 164 | 2003 |
Performance evaluation of full search equivalent pattern matching algorithms W Ouyang, F Tombari, S Mattoccia, L Di Stefano, WK Cham IEEE transactions on pattern analysis and machine intelligence 34 (1), 127-143, 2011 | 158 | 2011 |
Accurate and efficient cost aggregation strategy for stereo correspondence based on approximated joint bilateral filtering S Mattoccia, S Giardino, A Gambini Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 158 | 2010 |
Towards real-time unsupervised monocular depth estimation on cpu M Poggi, F Aleotti, F Tosi, S Mattoccia 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 151 | 2018 |
Learning monocular depth estimation with unsupervised trinocular assumptions M Poggi, F Tosi, S Mattoccia 2018 International conference on 3d vision (3DV), 324-333, 2018 | 147 | 2018 |
Linear stereo matching L De-Maeztu, S Mattoccia, A Villanueva, R Cabeza Computer Vision (ICCV), 2011 IEEE International Conference on, 1708-1715, 2011 | 142 | 2011 |
A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning M Poggi, S Mattoccia 2016 IEEE symposium on computers and communication (ISCC), 208-213, 2016 | 130 | 2016 |
Fast full-search equivalent template matching by enhanced bounded correlation S Mattoccia, F Tombari, L Di Stefano IEEE transactions on image processing 17 (4), 528-538, 2008 | 123 | 2008 |
Generative adversarial networks for unsupervised monocular depth prediction F Aleotti, F Tosi, M Poggi, S Mattoccia Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 117 | 2018 |
Learning from scratch a confidence measure. M Poggi, S Mattoccia BMVC, 2016 | 112 | 2016 |
Learning from scratch a confidence measure M Poggi, S Mattoccia British Machine Vision Conference (BMVC 2016), 2016 | 112* | 2016 |
An efficient algorithm for exhaustive template matching based on normalized cross correlation L Di Stefano, S Mattoccia, M Mola 12th International Conference on Image Analysis and Processing, 2003 …, 2003 | 111 | 2003 |
Geometry meets semantics for semi-supervised monocular depth estimation P Zama Ramirez, M Poggi, F Tosi, S Mattoccia, L Di Stefano Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 106 | 2019 |