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 [articolo]
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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]
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, Article number: 2010, pp. 1 - 24 [articolo]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) [Contributo in Atti di convegno]
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), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2017, 10484, pp. 483 - 494 (atti di: 19th International Conference on Image Analysis and Processing, ICIAP 2017, ita, 2017) [Contributo in Atti di convegno]
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, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]
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) [Contributo in Atti di convegno]
Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Quantitative Evaluation of Confidence Measures in a Machine Learning World, in: 2017 IEEE International Conference on Computer Vision (ICCV), New York, IEEE, 2017, pp. 5238 - 5247 (atti di: 16th edition of the IEEE International Conference on Computer Vision, Venice, Italy, October 22-29, 2017) [Contributo in Atti di convegno]Open Access
Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Luigi Di, Stefano, Unsupervised Adaptation for Deep Stereo, in: Proceedings 16th edition of the IEEE International Conference on Computer Vision, IEEE, 2017, pp. 1614 - 1622 (atti di: IEEE International Conference on Computer Vision, Venice, Italy, October 22-29, 2017) [Contributo in Atti di convegno]
Poggi, Matteo; Mattoccia, Stefano, A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning, in: Proceedings - IEEE Symposium on Computers and Communications, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 208 - 213 (atti di: First IEEE Workshop on ICT Solutions for eHealth (IEEE ICTS4eHealth 2016) in conjunction with the Twenty-First IEEE Symposium on Computers and Communications, Messina, June 27-30, 2016) [Contributo in Atti di convegno]
Poggi, Matteo; Mattoccia, Stefano, Deep stereo fusion: Combining multiple disparity hypotheses with deep-learning, in: Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 138 - 147 (atti di: 4th International Conference on 3D Vision, 3DV 2016, usa, 2016) [Contributo in Atti di convegno]
Poggi, Matteo; Mattoccia, Stefano, Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices, in: 2016 International Conference on 3D Imaging, IC3D 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 1 - 8 (atti di: 6th International Conference on 3D Imaging, IC3D 2016, Belgio, DEC 13-14, 2016) [Contributo in Atti di convegno]
Boschini, Matteo; Poggi, Matteo; Mattoccia, Stefano, Improving the reliability of 3D people tracking system by means of deep-learning, in: 2016 International Conference on 3D Imaging, IC3D 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2016, pp. 1 - 8 (atti di: 6th International Conference on 3D Imaging, IC3D 2016, Belgio, 2016) [Contributo in Atti di convegno]
