Mingozzi, Alessio; Conti, Andrea; Aleotti, Filippo; Poggi, Matteo; Mattoccia, Stefano, Monitoring Social Distancing With Single Image Depth Estimation, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE», 2022, Early access, pp. 1 - 12 [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]
Matteo Poggi, Andrea Conti, Stefano Mattoccia, Multi-View Guided Multi-View Stereo, in: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), New York, IEEE, 2022, pp. 8391 - 8398 (atti di: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23-27, 2022) [Contribution to conference proceedings]Open Access
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», 2022, 44, pp. 5293 - 5313 [Scientific article]Open Access
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
A. Conti, M. Poggi, F. Aleotti, S. Mattoccia, Unsupervised confidence for LiDAR depth maps and applications, in: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),, New York, IEEE, 2022, pp. 8352 - 8359 (atti di: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan, October 23–27, 2022) [Contribution to conference proceedings]Open Access
Tassinari, Patrizia; Bovo, Marco; Benni, Stefano; Franzoni, Simone; Poggi, Matteo; Mammi, Ludovica Maria Eugenia; Mattoccia, Stefano; Di Stefano, Luigi; Bonora, Filippo; Barbaresi, Alberto; Santolini, Enrica; Torreggiani, Daniele, A computer vision approach based on deep learning for the detection of dairy cows in 2 free stall barn, «COMPUTERS AND ELECTRONICS IN AGRICULTURE», 2021, 182, Article number: 106030 , pp. 1 - 15 [Scientific article]Open Access
De Gregorio D.; Poggi M.; Zama Ramirez P.; Palli G.; Mattoccia S.; Di Stefano L., Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot, «IEEE ACCESS», 2021, 9, pp. 119755 - 119765 [Scientific article]Open Access
Aleotti, F.; Poggi, M.; Mattoccia, S., Learning optical flow from still images, in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, IEEE Computer Society, 2021, pp. 15196 - 15206 (atti di: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, Nashville, TN, USA, 20-25 June 2021) [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
Aleotti, Filippo; Tosi, Fabio; ZAMA RAMIREZ, Pierluigi; Poggi, Matteo; Salti, Samuele; Mattoccia, Stefano; DI STEFANO, Luigi, 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]
