Fabio Tosi

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	Total	Desde 2019
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Stefano MattocciaAssociate Professor of Computer Science, University of BolognaDirección de correo verificada de unibo.it
Matteo PoggiTenure-Track Assistant professor (RTD-B), University of BolognaDirección de correo verificada de unibo.it
Filippo AleottiNianticDirección de correo verificada de nianticlabs.com
Luigi Di StefanoFull Professor, University of BolognaDirección de correo verificada de unibo.it
Pierluigi Zama RamirezPost Doc @ University of BolognaDirección de correo verificada de unibo.it
Alessio TonioniResearch Scientist, Google inc., ZurichDirección de correo verificada de google.com
Samuele SaltiDISI, University of BolognaDirección de correo verificada de unibo.it
Youmin ZhangPhD Student at University of BolognaDirección de correo verificada de unibo.it
Alex CostanzinoPhD StudentDirección de correo verificada de unibo.it
Luca BartolomeiEIT4SEMM PhD Student, Università di BolognaDirección de correo verificada de unibo.it
Philippos MordohaiProfessor of Computer Science, Stevens Institute of TechnologyDirección de correo verificada de stevens.edu
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterDirección de correo verificada de uni-tuebingen.de
Yiyi LiaoZhejiang UniversityDirección de correo verificada de zju.edu.cn
Carolin SchmittMax Planck Institute for Intelligent Systems and University of TübingenDirección de correo verificada de tue.mpg.de
Martin R. OswaldUniversity of Amsterdam & ETH ZurichDirección de correo verificada de inf.ethz.ch
Erik sandströmPhD Student ETH ZürichDirección de correo verificada de ee.ethz.ch

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Fabio Tosi

Junior Assistant Professor (RTD-A), Università di Bologna

Dirección de correo verificada de unibo.it - Página principal

Computer Vision Stereo Vision Artificial intelligence Deep Learning Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	283	2019
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	238	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	234	2020
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	162	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	160	2018
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	126	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	120	2021
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	113	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	107	2022
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	85	2017
Guided stereo matching M Poggi, D Pallotti, F Tosi, S Mattoccia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	84	2019
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	72	2020
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	66	2018
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	65	2018
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	62	2021
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	43	2020
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	43	2020
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	35	2023
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	35	2017
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	31	2020

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