Foto del docente

Stefano Mattoccia

Associate Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Publications

Patent n. 102019000006964, Metodo di determinazione della profondità da immagini e relativo sistema.

Patent n. 102019000022707, Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema.

A. Tonioni, F. Tosi , M. Poggi, S. Mattoccia, L. Di Stefano, Real-time self-adaptive deep stereo, in: Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition 2019, IEEE/CVF, 2019, pp. 195 - 204 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019) [Contribution to conference proceedings]

Tosi, Fabio; Poggi, Matteo*; Benincasa, Antonio; Mattoccia, Stefano, Beyond local reasoning for stereo confidence estimation with deep learning, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2018, 11210, pp. 323 - 338 (atti di: 15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, September 8-14, 2018) [Contribution to conference proceedings]

F. Aleotti, F. Tosi, M. Poggi, S. Mattoccia, Generative Adversarial Networks for unsupervised monocular depth prediction, in: Proceedings of 3D Reconstruction in the Wild 2018 (3DRW2018), in conjunction with (ECCV 2018), Springer, 2018, pp. 337 - 354 (atti di: 3D Reconstruction in the Wild 2018 (3DRW2018), ECCV 2018 Workshop, Munich, Germany, September 14, 2018) [Contribution to conference proceedings]

P. Zama Ramirez, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, Geometry meets semantic for semi-supervised monocular depth estimation, in: Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2018, pp. 298 - 313 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [Contribution to conference proceedings]

Mattoccia, Stefano; Kisačanin, Branislav; Gelautz, Margrit; Chai, Sek; Belbachir, Ahmed Nabil; Dedeoglu, Goksel; Stein, Fridtjof, Guest Editorial: Special Issue on Embedded Computer Vision, «JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL, IMAGE, AND VIDEO TECHNOLOGY», 2018, 90, pp. 873 - 876 [Scientific article]

Paolo Di Febbo, Carlo Dal Mutto, Kinh Tieu, Stefano Mattoccia, KCNN: Extremely-Efficient Hardware Keypoint Detection With a Compact Convolutional Neural Network, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, IEEE/CVF, 2018, pp. 682 - 690 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - Embedded Vision Workshop, Salt Lake City, UT, June 18, 2018) [Contribution to conference proceedings]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions, in: Proceedings of the 6th international conference on 3D Vision, NEW YORK, NY 10017, IEEE, 2018, pp. 324 - 333 (atti di: 6th international conference on 3D Vision, Verona, September 5-8, 2018) [Contribution to conference proceedings]

Tauro, Flavia; Tosi, Fabio; Mattoccia, Stefano; Toth, Elena; Piscopia, Rodolfo; Grimaldi, Salvatore, Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations, «REMOTE SENSING», 2018, 10, pp. 1 - 24 [Scientific article]Open Access

M. Poggi, F. Aleotti, F. Tosi, S. Mattoccia, Towards real-time unsupervised monocular depth estimation on CPU, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), IEEE, 2018, pp. 1 - 7 (atti di: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, October, 1-5, 2018) [Contribution to conference proceedings]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Efficient confidence measures for embedded stereo, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2017, 10484, pp. 483 - 494 (atti di: 19th International Conference on Image Analysis and Processing, ICIAP 2017, ita, 2017) [Contribution to conference proceedings]

Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Even More Confident Predictions with Deep Machine-Learning, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, 2017, 2017-, pp. 393 - 401 (atti di: 12th IEEE Embedded Vision Workshop (EVW2017) held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii (USA), usa, 2017) [Contribution to conference proceedings]

Tosi, F.; Poggi, M.; Mattoccia, S.; Tonioni, A.; Di Stefano, L.;, Learning confidence measures in the wild, in: Proceedings of 28th British Machine Vision Conference 2017 (BMVC 2017), The British Machine Vision Association and Society for Pattern Recognition, 2017, pp. 1 - 13 (atti di: 28th British Machine Vision Conference 2017 (BMVC 2017), London, Imperial College, 4th-7th September 2017) [Contribution to conference proceedings]

Poggi, Matteo; Mattoccia, Stefano, Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps, in: Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017, pp. 4541 - 4550 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii (USA), July 21-26, 2017) [Contribution to conference proceedings]

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