F. Tosi, Y. Liao, C. Schmitt, A. Geiger, "SMD-Nets: Stereo Mixture Density Networks", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), June 19-25, 2021, Nashville, Tennessee, US.
F. Aleotti, F. Tosi, L. Zhang, M. Poggi, S. Mattoccia, "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation", accepted at The European Conference on Computer Vision (ECCV 2021), August 23-28, 2020, Glasgow, UK.
M. Poggi, F. Aleotti, F. Tosi, G. Zaccaroni, S. Mattoccia, "Self-adapting confidenceestimation for stereo", accepted at The European Conference on Computer Vision (ECCV 2021), August 23-28, 2020, Glasgow, UK.
F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano and S. Mattoccia, "Distilled Semantics for Comprehensive Scene Understanding from Videos", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 16-18, 2020, Seattle, Washington, US. (PDF) [CODE]
M. Poggi, F. Aleotti, F. Tosi and S. Mattoccia, "On the uncertainty of self-supervised monocular depth estimation", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 16-18, 2020, Seattle, Washington, US. (PDF) [CODE]
M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, "Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation", accepted at the International Conference onPattern Recognition (ICPR 2020)
F. Aleotti, M. Poggi, F. Tosi, S. Mattoccia, "Learning end-to-end scene flow by distilling single tasks knowledge", accepted at the 34th AAAI Conference on Artificial Intelligence, New York, US, February 7-12, 2020 (PDF)
Matteo Poggi, Davide Pallotti, Fabio Tosi and Stefano Mattoccia, "Guided Stereo Matching", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), June 16-21, 2019, Long Beach, California, US. (PDF)(Demo Code)
Fabio Tosi, Filippo Aleotti, Matteo Poggi and Stefano Mattoccia, "Learning monocular depth estimation infusing traditional stereo knowledge", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), June 16-21, 2019, Long Beach, California, US. (PDF)(supplementary)(Code)
Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia and Luigi Di Stefano, "Real-time self-adaptive deep stereo", accepted at The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), June 16-21, 2019, Long Beach, California, US (ORAL) (PDF)(supplementary)(Code)
F. Tosi, M. Poggi, S. Mattoccia, "Leveraging confident points for accurate depth refinement on embedded systems", accepted at The IEEE Embedded Vision Workshop (EVW 2019), June 16, 2019, Long Beach, California, US. (PDF)
Valentino Peluso, Antonio Cipolletta, Andrea Calimera, Matteo Poggi, Fabio Tosi and Stefano Mattoccia, "Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms", accepted at Design, Automation and Design in Europe (DATE 2019), March 29-29, 2019, Florence, Italy. (PDF)
M. Poggi, F. Tosi, S. Mattoccia, "Learning monocular depth estimation with unsupervised trinocular assumptions", accepted at The 6th international conference on 3D Vision (3DV 2018), September 5-8, 2018, Verona, Italy. (PDF)(Code)(Video)
P. Zama Ramirez, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, "Geometry meets semantic for semi-supervised monocular depth estimation", accepted at 14th Asian Conference on Computer Vision (ACCV 2018), December 2-6, 2018, Perth, Australia (PDF)(Code)
F. Tosi, M. Poggi, A. Benincasa, S. Mattoccia, "Beyond local reasoning for stereo confidence estimation with deep learning", accepted at the 15th European Conference on Computer Vision (ECCV 2018), September 8-14, 2018, Munich, Germany. (PDF)(Code)
M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, "Towards real-time unsupervised monocular depth estimation on CPU", accepted at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), October 1-5, 2018, Madrid, Spain. (PDF)(Code)(Video)
F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia, "Generative Adversarial Networks for unsupervised monocular depth prediction", accepted at 3D Reconstruction in the Wild 2018 (3DRW2018), in conjunction with (ECCV 2018), Munich, Germany, September 14, 2018. (PDF)
M. Poggi, F. Tosi, S. Mattoccia, "Quantitative evaluation of confidence measures in a machine learning world", accepted at The IEEE International Conference on Computer Vision (ICCV 2017), October 22-29, 2017, Venezia, Italy SPOTLIGHT (PDF)
F. Tosi, M. Poggi, A.Tonioni, L. Di Stefano, S. Mattoccia, "Learning confidence measures in the wild", accepted at The 28th British Machine Vision Conference (BMVC 2017), September 5-7, 2017, London, UK (PDF)(Code)
M. Poggi, F. Tosi, S. Mattoccia, "Efficient confidence measures for embedded stereo", accepted at The 19th International Conference on Image Analysis and Processing (ICIAP 2017), September 11-15, 2017, Catania, Italy (PDF)
M. Poggi, F. Tosi, S. Mattoccia, "Even More Confident predictions with deep machine-learning", accepted at The IEEE Embedded Vision Workshop (EVW 2017), July 21, 2017, Honolulu, Hawaii, US (PDF)
Journals
M. Poggi,F. Tosi, K. Batsos, P. Mordohai, S. Mattoccia, "On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey", IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)
M. Poggi, S. Kim, F. Tosi, S. Kim, F. Aleotti, D. Min, K. Sohn, and S. Mattoccia, "On the Confidence of Stereo Matching in a Deep-Learning Era: a Quantitative Evaluation", IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)
F. Aleotti, G. Zaccaroni, L. Bartolomei, M. Poggi, F. Tosi, S. Mattoccia, “Real-time singleimage depth perception in the wild with handheld devices", MDPI Sensors
Tosi, M. Rocca, F. Aleotti, M. Poggi, S. Mattoccia, F. Tauro, E. Toth, S.Grimaldi,"Enabling image-based streamflow monitoring at the edge", MDPI Remote Sensing, RemoteSensing
M. Poggi, F. Tosi, S. Mattoccia, "Good cues to learn from scratch a confidence measurefor passive depth sensors", IEEE Sensors Journal, Sensors
M. Poggi, F. Tosi, S. Mattoccia, "Learning a confidence measure in the disparity domain from O(1) features", Computer Vision and Image Understanding (CVIU)
M. Poggi, G. Agresti, F. Tosi, P. Zanuttigh, S. Mattoccia, "Confidence Estimation for ToF and Stereo Sensorsand its Application to Depth Data Fusion", IEEE Sensors
F. Tauro, F. Tosi, S. Mattoccia, E. Toth, R. Piscopia, S. Grimaldi, "Optical Tracking Velocimetry (OTV): leveraging optical flow and trajectory-based filtering for surface streamflow observations", Remote Sensing , 2018, 10(12), 2010 (PDF)
Pre-print
M. Poggi, A. Tonioni,F. Tosi, L. Di Stefano, S. Mattoccia, “Continual Adaptation for DeepStereo", at the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)