| A fast area-based stereo matching algorithm L Di Stefano, M Marchionni, S Mattoccia Image and vision computing 22 (12), 983-1005, 2004 | 459 | 2004 |
| 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 | 315 | 2019 |
| 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 | 296 | 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 | 295 | 2008 |
| 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 | 294 | 2020 |
| ZNCC-based template matching using bounded partial correlation L Di Stefano, S Mattoccia, F Tombari Pattern recognition letters 26 (14), 2129-2134, 2005 | 291 | 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 | 265 | 2019 |
| Monovit: Self-supervised monocular depth estimation with a vision transformer C Zhao, Y Zhang, M Poggi, F Tosi, X Guo, Z Zhu, G Huang, Y Tang, ... 2022 international conference on 3D vision (3DV), 668-678, 2022 | 227 | 2022 |
| 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 | 183 | 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 | 181 | 2018 |
| On the synergies between machine learning and binocular stereo for depth estimation from images: a survey M Poggi, F Tosi, K Batsos, P Mordohai, S Mattoccia IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5314-5334, 2021 | 178 | 2021 |
| Fast template matching using bounded partial correlation L Di Stefano, S Mattoccia Machine Vision and Applications 13, 213-221, 2003 | 173 | 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 | 165 | 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 | 163 | 2010 |
| Linear stereo matching L De-Maeztu, S Mattoccia, A Villanueva, R Cabeza Computer Vision (ICCV), 2011 IEEE International Conference on, 1708-1715, 2011 | 150 | 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 | 146 | 2016 |
| 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 | 142 | 2018 |
| Learning from scratch a confidence measure. M Poggi, S Mattoccia BMVC, 2016 | 126 | 2016 |
| Learning from scratch a confidence measure M Poggi, S Mattoccia British Machine Vision Conference (BMVC 2016), 2016 | 126* | 2016 |
| Unsupervised Adaptation for Deep Stereo A Tonioni, M Poggi, S Mattoccia, L Di Stefano Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 125 | 2017 |
Matteo PoggiTenure-Track Assistant professor (RTD-B), University of BolognaVerified email at unibo.it
