Sfoglia per Autore
Towards real-time unsupervised monocular depth estimation on CPU
2018 M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia
Generative Adversarial Networks for unsupervised monocular depth prediction
2019 F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia
Learning monocular depth estimation infusing traditional stereo knowledge
2019 F. Tosi, F. Aleotti, M. Poggi, S. Mattoccia
Learning end-to-end scene flow by distilling single tasks knowledge
2020 F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia
Self-adapting confidence estimation for stereo
2020 M. Poggi, F. Aleotti, F. Tosi, Giulio Zaccaroni, S. Mattoccia
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
2020 F. Aleotti, F. Tosi, L. Zhang, M. Poggi, S. Mattoccia,
Distilled semantics for comprehensive scene understanding from videos
2020 F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano, S. Mattoccia
Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof
2020 Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia
Enabling Image-Based Streamflow Monitoring at the Edge
2020 Tosi, Fabio; Rocca, Matteo; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano; Tauro, Flavia; Toth, Elena; Grimaldi, Salvatore
On the Uncertainty of Self-Supervised Monocular Depth Estimation
2020 M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia
Enabling monocular depth perception at the very edge
2020 Peluso V.; Cipolletta A.; Calimera A.; Poggi M.; Tosi F.; Aleotti F.; Mattoccia S.
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation
2021 M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia
Sensor-guided optical flow
2021 M. Poggi, F. Aleotti, S. Mattoccia
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
2021 M. Poggi, S. Kim, F. Tosi, S. Kim, F. Aleotti, D. Min, K. Sohn, S. Mattoccia
Neural Disparity Refinement for Arbitrary Resolution Stereo
2021 Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano
Learning optical flow from still images
2021 Aleotti F.; Poggi M.; Mattoccia S.
Real-Time Single Image Depth Perception in the Wild with Handheld Devices
2021 Aleotti, Filippo; Zaccaroni, Giulio; Bartolomei, Luca; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano
On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge
2021 Livoroi A.-H.; Conti A.; Foianesi L.; Tosi F.; Aleotti F.; Poggi M.; Tauro F.; Toth E.; Grimaldi S.; Mattoccia S.
Unsupervised confidence for LiDAR depth maps and applications
2022 A. Conti, M. Poggi, F. Aleotti, S. Mattoccia
Monitoring Social Distancing With Single Image Depth Estimation
2022 Mingozzi, Alessio; Conti, Andrea; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
Towards real-time unsupervised monocular depth estimation on CPU | M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia | 2018-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Generative Adversarial Networks for unsupervised monocular depth prediction | F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia | 2019-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | - |
Learning monocular depth estimation infusing traditional stereo knowledge | F. Tosi, F. Aleotti, M. Poggi, S. Mattoccia | 2019-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | Tosi_Learning_Monocular_Depth_Estimation_Infusing_Traditional_Stereo_Knowledge_CVPR_2019_paper.pdf |
Learning end-to-end scene flow by distilling single tasks knowledge | F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia | 2020-01-01 | - | AAAI Press | 4.01 Contributo in Atti di convegno | - |
Self-adapting confidence estimation for stereo | M. Poggi, F. Aleotti, F. Tosi, Giulio Zaccaroni, S. Mattoccia | 2020-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | ECCV2020_confidence_onthefly+(13).pdf |
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation | F. Aleotti, F. Tosi, L. Zhang, M. Poggi, S. Mattoccia, | 2020-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | ECCV2020___Unsupervised_Stereo_Matching+(14) (2).pdf |
Distilled semantics for comprehensive scene understanding from videos | F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano, S. Mattoccia | 2020-01-01 | - | IEEE/CVF | 4.01 Contributo in Atti di convegno | Tosi_Distilled_Semantics_for_CVPR_2020_supplemental (1).pdf; Tosi_Distilled_Semantics_for_Comprehensive_Scene_Understanding_from_Videos_CVPR_2020_paper.pdf |
Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof | Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia | 2020-01-01 | - | - | 6.01 Brevetto | - |
Enabling Image-Based Streamflow Monitoring at the Edge | Tosi, Fabio; Rocca, Matteo; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano; Tauro, Flavia; T...oth, Elena; Grimaldi, Salvatore | 2020-01-01 | REMOTE SENSING | - | 1.01 Articolo in rivista | remotesensing-12-02047-v2.pdf |
On the Uncertainty of Self-Supervised Monocular Depth Estimation | M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia | 2020-01-01 | - | IEEE/CVF | 4.01 Contributo in Atti di convegno | Poggi_On_the_Uncertainty_CVPR_2020_supplemental.pdf; Poggi_On_the_Uncertainty_of_Self-Supervised_Monocular_Depth_Estimation_CVPR_2020_paper.pdf |
Enabling monocular depth perception at the very edge | Peluso V.; Cipolletta A.; Calimera A.; Poggi M.; Tosi F.; Aleotti F.; Mattoccia S. | 2020-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | Peluso_Enabling_Monocular_Depth_Perception_at_the_Very_Edge_CVPRW_2020_paper.pdf |
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation | M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia | 2021-01-01 | - | IEEE COMPUTER SOC | 4.01 Contributo in Atti di convegno | ICPR2020.pdf |
Sensor-guided optical flow | M. Poggi, F. Aleotti, S. Mattoccia | 2021-01-01 | - | IEEE/CVF | 4.01 Contributo in Atti di convegno | Poggi_Sensor-Guided_Optical_Flow_ICCV_2021_paper (1).pdf |
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 | 2021-01-01 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - | 1.01 Articolo in rivista | 2101.00431.pdf |
Neural Disparity Refinement for Arbitrary Resolution Stereo | Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattocc...ia, Luigi Di Stefano | 2021-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Learning optical flow from still images | Aleotti F.; Poggi M.; Mattoccia S. | 2021-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | Aleotti_Learning_Optical_Flow_From_Still_Images_CVPR_2021_paper.pdf |
Real-Time Single Image Depth Perception in the Wild with Handheld Devices | Aleotti, Filippo; Zaccaroni, Giulio; Bartolomei, Luca; Poggi, Matteo; Tosi, Fabio; Mattoccia, Ste...fano | 2021-01-01 | SENSORS | - | 1.01 Articolo in rivista | sensors-21-00015-v2.pdf |
On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge | Livoroi A.-H.; Conti A.; Foianesi L.; Tosi F.; Aleotti F.; Poggi M.; Tauro F.; Toth E.; Grimaldi ...S.; Mattoccia S. | 2021-01-01 | APPLIED SCIENCES | - | 1.01 Articolo in rivista | applsci-11-07027-v2 (1).pdf |
Unsupervised confidence for LiDAR depth maps and applications | A. Conti, M. Poggi, F. Aleotti, S. Mattoccia | 2022-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | 2210.03118.pdf |
Monitoring Social Distancing With Single Image Depth Estimation | Mingozzi, Alessio; Conti, Andrea; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano | 2022-01-01 | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE | - | 1.01 Articolo in rivista | Monitoring_Social_Distancing_With_Single_Image_Depth_Estimation.pdf |
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