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Fabio Tosi
Fabio Tosi
Junior Assistant Professor (RTD-A), Università di Bologna
Verified email at unibo.it - Homepage
Title
Cited by
Cited by
Year
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
2802019
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
2332019
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
2242020
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
1582018
Learning monocular depth estimation with unsupervised trinocular assumptions
M Poggi, F Tosi, S Mattoccia
2018 International conference on 3d vision (3DV), 324-333, 2018
1572018
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
1222018
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
1122021
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
1102019
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
942022
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
842017
Guided stereo matching
M Poggi, D Pallotti, F Tosi, S Mattoccia
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
812019
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
682020
Beyond local reasoning for stereo confidence estimation with deep learning
F Tosi, M Poggi, A Benincasa, S Mattoccia
Proceedings of the European Conference on Computer Vision (ECCV), 319-334, 2018
652018
Optical tracking velocimetry (OTV): Leveraging optical flow and trajectory-based filtering for surface streamflow observations
F Tauro, F Tosi, S Mattoccia, E Toth, R Piscopia, S Grimaldi
Remote Sensing 10 (12), 2010, 2018
602018
Smd-nets: Stereo mixture density networks
F Tosi, Y Liao, C Schmitt, A Geiger
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
592021
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
F Aleotti, F Tosi, L Zhang, M Poggi, S Mattoccia
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
422020
Real-time single image depth perception in the wild with handheld devices
F Aleotti, G Zaccaroni, L Bartolomei, M Poggi, F Tosi, S Mattoccia
Sensors 21 (1), 15, 2020
412020
Learning confidence measures in the wild
F Tosi, M Poggi, S Mattoccia, A Tonioni, L Di Stefano
Proceedings of 28th British Machine Vision Conference 2017 (BMVC 2017), 1-13, 2017
352017
Learning end-to-end scene flow by distilling single tasks knowledge
F Aleotti, M Poggi, F Tosi, S Mattoccia
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10435 …, 2020
312020
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
M Poggi, S Kim, F Tosi, S Kim, F Aleotti, D Min, K Sohn, S Mattoccia
IEEE transactions on pattern analysis and machine intelligence 44 (9), 5293-5313, 2021
282021
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