Cipolletta, Antonio; Peluso, Valentino; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano, Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs, «IEEE INTERNET OF THINGS JOURNAL», 2022, 9, pp. 25 - 36 [Scientific article]Open Access
Peluso, Valentino; Cipolletta, Antonio; Calimera, Andrea; Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano, Monocular Depth Perception on Microcontrollers for Edge Applications, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY», 2022, 32, pp. 1524 - 1536 [Scientific article]Open Access
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia, MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer, in: Proceedings of the International Conference on 3D Vision (3DV), 2022, pp. 1 - 8 (atti di: International Conference on 3D Vision (3DV), Praga, Repubblica Ceca, 12 settembre 2022) [Contribution to conference proceedings]
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 TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2022, 44, pp. 5314 - 5334 [Scientific article]Open Access
Ramirez, Pierluigi Zama; Tosi, Fabio; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, Open Challenges in Deep Stereo: the Booster Dataset, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2022, pp. 21136 - 21146 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 18-24 June 2022) [Contribution to conference proceedings]Open Access
Poggi, Matteo; Tosi, Fabio; Aleotti, Filippo; Mattoccia, Stefano, Real-Time Self-Supervised Monocular Depth Estimation Without GPU, «IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS», 2022, Early access, in fase di pubblicazione, pp. 1 - 12 [Scientific article]
Tosi, Fabio; Ramirez, Pierluigi Zama; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; Di Stefano, Luigi, RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 15937 - 15947 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contribution to conference proceedings]Open Access
M. Poggi, F. Tosi, F. Aleotti, S. Mattoccia, Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation, in: 2020 25th International Conference on Pattern Recognition (ICPR), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE COMPUTER SOC, 2021, pp. 270 - 277 (atti di: 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, January 10-15, 2021) [Contribution to conference proceedings]Open Access
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano, Neural Disparity Refinement for Arbitrary Resolution Stereo, in: 2021 International Conference on 3D Vision (3DV), IEEE, 2021, pp. 207 - 217 (atti di: 2021 International Conference on 3D Vision (3DV), London, United Kingdom, 1-3 Dec. 2021) [Contribution to conference proceedings]
M. Poggi, S. Kim, F. Tosi, S. Kim, F. Aleotti, D. Min, K. Sohn, S. Mattoccia, On the confidence of stereo matching in a deep-learning era: a quantitative evaluation, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2021, 44, pp. 5293 - 5313 [Scientific article]Open Access
Livoroi A.-H.; Conti A.; Foianesi L.; Tosi F.; Aleotti F.; Poggi M.; Tauro F.; Toth E.; Grimaldi S.; Mattoccia S., On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge, «APPLIED SCIENCES», 2021, 11, Article number: 7027 , pp. 1 - 15 [Scientific article]Open Access
Aleotti, Filippo; Zaccaroni, Giulio; Bartolomei, Luca; Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Real-Time Single Image Depth Perception in the Wild with Handheld Devices, «SENSORS», 2021, 21, Article number: 15 , pp. 1 - 17 [Scientific article]Open Access
Poggi, Matteo; Agresti, Gianluca; Tosi, Fabio; Zanuttigh, Pietro; Mattoccia, Stefano, Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion, «IEEE SENSORS JOURNAL», 2020, 20, pp. 1411 - 1421 [Scientific article]Open Access
F. Tosi, F. Aleotti, P. Zama Ramirez, M. Poggi, S. Salti, L. Di Stefano, S. Mattoccia, Distilled semantics for comprehensive scene understanding from videos, in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF, 2020, pp. 4653 - 4664 (atti di: Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Washington, USA, June 16-18, 2020, Seattle) [Contribution to conference proceedings]Open Access
Tosi, Fabio; Rocca, Matteo; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano; Tauro, Flavia; Toth, Elena; Grimaldi, Salvatore, Enabling Image-Based Streamflow Monitoring at the Edge, «REMOTE SENSING», 2020, 12, Article number: 2047 , pp. 1 - 18 [Scientific article]Open Access
