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Matteo Poggi
Matteo Poggi
Associate Professor, University of Bologna
Verified email at unibo.it - Homepage
Title
Cited by
Cited by
Year
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
3562022
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
3552020
Real-time self-adaptive deep stereo
A Tonioni, F Tosi, M Poggi, S Mattoccia, LDI Stefano
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3472019
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
3002019
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
arXiv preprint arXiv:2004.08566, 2020
2262020
Go-slam: Global optimization for consistent 3d instant reconstruction
Y Zhang, F Tosi, S Mattoccia, M Poggi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2122023
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
2022018
Learning monocular depth estimation with unsupervised trinocular assumptions
M Poggi, F Tosi, S Mattoccia
2018 International conference on 3d vision (3DV), 324-333, 2018
2022018
Completionformer: Depth completion with convolutions and vision transformers
Y Zhang, X Guo, M Poggi, Z Zhu, G Huang, S Mattoccia
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
1972023
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
1602018
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
1562016
Geometry meets semantics for semi-supervised monocular depth estimation
P Zama Ramirez, M Poggi, F Tosi, S Mattoccia, L Di Stefano
Asian Conference on Computer Vision, 298-313, 2018
1552018
A computer vision approach based on deep learning for the detection of dairy cows in free stall barn
P Tassinari, M Bovo, S Benni, S Franzoni, M Poggi, LME Mammi, ...
Computers and Electronics in Agriculture 182, 106030, 2021
1392021
Unsupervised adaptation for deep stereo
A Tonioni, M Poggi, S Mattoccia, L Di Stefano
Proceedings of the IEEE International Conference on Computer Vision, 1605-1613, 2017
1332017
Learning from scratch a confidence measure
M Poggi, S Mattoccia
British Machine Vision Conference (BMVC) 2016, 2016
1302016
How nerfs and 3d gaussian splatting are reshaping slam: a survey
F Tosi, Y Zhang, Z Gong, E Sandström, S Mattoccia, MR Oswald, M Poggi
arXiv preprint arXiv:2402.13255 4, 1, 2024
1152024
Guided stereo matching
M Poggi, D Pallotti, F Tosi, S Mattoccia
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1122019
Distilled semantics for comprehensive scene understanding from videos
F Tosi, F Aleotti, PZ Ramirez, M Poggi, S Salti, LD Stefano, S Mattoccia
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1002020
Quantitative evaluation of confidence measures in a machine learning world
M Poggi, F Tosi, S Mattoccia
Proceedings of the IEEE International Conference on Computer Vision, 5228-5237, 2017
992017
Real-time semantic stereo matching
PL Dovesi, M Poggi, L Andraghetti, M Martí, H Kjellström, A Pieropan, ...
2020 IEEE international conference on robotics and automation (ICRA), 10780 …, 2020
972020
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