Sfoglia per Autore
A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA
2015 Mattoccia, Stefano; Poggi, Matteo
Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired
2015 Poggi, Matteo; Nanni, Luca; Mattoccia, Stefano
Deep stereo fusion: Combining multiple disparity hypotheses with deep-learning
2016 Poggi, Matteo; Mattoccia, Stefano
Improving the reliability of 3D people tracking system by means of deep-learning
2016 Boschini, Matteo; Poggi, Matteo; Mattoccia, Stefano
A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning
2016 Poggi, Matteo; Mattoccia, Stefano
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching
2016 Poggi, Matteo; Mattoccia, Stefano
Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices
2016 Poggi, Matteo; Mattoccia, Stefano
Learning from scratch a confidence measure
2016 Matteo, Poggi; Mattoccia, Stefano
Even More Confident Predictions with Deep Machine-Learning
2017 Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
2017 Poggi, Matteo; Mattoccia, Stefano
Unsupervised Adaptation for Deep Stereo
2017 Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Luigi Di, Stefano
Efficient confidence measures for embedded stereo
2017 Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano
Learning confidence measures in the wild
2017 Tosi, F.; Poggi, M.; Mattoccia, S.; Tonioni, A.; Di Stefano, L.;
Quantitative Evaluation of Confidence Measures in a Machine Learning World
2017 Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano
Towards real-time unsupervised monocular depth estimation on CPU
2018 M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia
Beyond local reasoning for stereo confidence estimation with deep learning
2018 Tosi, Fabio; Poggi, Matteo*; Benincasa, Antonio; Mattoccia, Stefano
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
2018 Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano
COMPUTER VISION IDENTIFICATION AND POSITION DETECTION OF FRIESIAN COWS
2019 Stefano Benni, Filippo Bonora, Luigi Di Stefano, Stefano Mattoccia, Matteo Poggi, Patrizia Tassinari, Daniele Torreggiani
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms
2019 Peluso V.; Cipolletta A.; Calimera A.; Poggi M.; Tosi F.; Mattoccia S.
Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema
2019 Tonioni Alessio, Poggi Matteo, Tosi Fabio, Mattoccia Stefano, Di Stefano Luigi
Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
---|---|---|---|---|---|---|
A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA | Mattoccia, Stefano; Poggi, Matteo | 2015-01-01 | - | Association for Computing Machinery | 4.01 Contributo in Atti di convegno | - |
Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired | Poggi, Matteo; Nanni, Luca; Mattoccia, Stefano | 2015-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | - |
Deep stereo fusion: Combining multiple disparity hypotheses with deep-learning | Poggi, Matteo; Mattoccia, Stefano | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Improving the reliability of 3D people tracking system by means of deep-learning | Boschini, Matteo; Poggi, Matteo; Mattoccia, Stefano | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning | Poggi, Matteo; Mattoccia, Stefano | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching | Poggi, Matteo; Mattoccia, Stefano | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices | Poggi, Matteo; Mattoccia, Stefano | 2016-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Learning from scratch a confidence measure | Matteo, Poggi; Mattoccia, Stefano | 2016-01-01 | - | BMVA Press | 4.01 Contributo in Atti di convegno | - |
Even More Confident Predictions with Deep Machine-Learning | Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano | 2017-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | - |
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps | Poggi, Matteo; Mattoccia, Stefano | 2017-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Unsupervised Adaptation for Deep Stereo | Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Luigi Di, Stefano | 2017-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
Efficient confidence measures for embedded stereo | Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano | 2017-01-01 | - | Springer Verlag | 4.01 Contributo in Atti di convegno | - |
Learning confidence measures in the wild | Tosi, F.; Poggi, M.; Mattoccia, S.; Tonioni, A.; Di Stefano, L.; | 2017-01-01 | - | The British Machine Vision Association and Society for Pattern Recognition | 4.01 Contributo in Atti di convegno | - |
Quantitative Evaluation of Confidence Measures in a Machine Learning World | Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano | 2017-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | Quantitative_Evaluation_of_ICCV_2017_supplemental.pdf; Quantitative_Evaluation_of_ICCV_2017_paper.pdf |
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 | - |
Beyond local reasoning for stereo confidence estimation with deep learning | Tosi, Fabio; Poggi, Matteo*; Benincasa, Antonio; Mattoccia, Stefano | 2018-01-01 | - | Springer Verlag | 4.01 Contributo in Atti di convegno | - |
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions | Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano | 2018-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
COMPUTER VISION IDENTIFICATION AND POSITION DETECTION OF FRIESIAN COWS | Stefano Benni, Filippo Bonora, Luigi Di Stefano, Stefano Mattoccia, Matteo Poggi, Patrizia Tassin...ari, Daniele Torreggiani | 2019-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms | Peluso V.; Cipolletta A.; Calimera A.; Poggi M.; Tosi F.; Mattoccia S. | 2019-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema | Tonioni Alessio, Poggi Matteo, Tosi Fabio, Mattoccia Stefano, Di Stefano Luigi | 2019-01-01 | - | - | 6.01 Brevetto | - |
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