Dai Y.; Song W.; Li Y.; Luigi Di Stefano, Feature disentangling and reciprocal learning with label-guided similarity for multi-label image retrieval, «NEUROCOMPUTING», 2022, 511, pp. 353 - 365 [articolo]
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano, Learning the Space of Deep Models, in: 2022 26th International Conference on Pattern Recognition (ICPR), New York, IEEE Computer Society, «PROCEEDINGS INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION», 2022, pp. 2482 - 2488 (atti di: IAPR INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, Montreal, Canada, 21-25 Agosto 2022) [Contributo in Atti di convegno]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, «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 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) [Contributo in Atti di convegno]Open Access
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano;, Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation, in: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 1999 - 2009 (atti di: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawai, 3-8 Jan. 2022) [Contributo in Atti di convegno]Open Access
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), «PROCEEDINGS IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 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) [Contributo in Atti di convegno]Open Access
Adriano Cardace; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano, Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries, in: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2022, pp. 2010 - 2020 (atti di: 22nd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, Hawai, 4-8 Jan. 2022) [Contributo in Atti di convegno]Open Access
Marcon, Marlon; Spezialetti, Riccardo; Salti, Samuele; Silva, Luciano; Di Stefano, Luigi, Unsupervised Learning of Local Equivariant Descriptors for Point Clouds, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2022, 44, pp. 9687 - 9702 [articolo]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 [articolo]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 [articolo]Open Access
de Gregorio D.; Zanella R.; Palli G.; Di Stefano L., Effective deployment of CNNs for 3DOF pose estimation and grasping in industrial settings, in: 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), Institute of Electrical and Electronics Engineers Inc., «INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION», 2021, pp. 7419 - 7426 (atti di: 25th International Conference on Pattern Recognition, ICPR 2020, ita (ELECTR NETWORK), 2021) [Contributo in Atti di convegno]Open Access
Salti, Samuele; Lanza, Alessandro; Di Stefano, Luigi, Keypoint detection by wave propagation, «JOURNAL OF ELECTRONIC IMAGING», 2021, 30, Article number: 013003, pp. 1 - 20 [articolo]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) [Contributo in Atti di convegno]
Spezialetti, Riccardo; Salti, Samuele; Di Stefano, Luigi, Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors, «AI», 2021, 2, pp. 229 - 243 [articolo]
Adriano Cardace; Riccardo Spezialetti ; Pierluigi Zama Ramirez; Samuele Salti; Luigi Di Stefano, RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation, in: 2021 International Conference on 3D Vision (3DV), IEEE, 2021, pp. 331 - 341 (atti di: 9th International Conference on 3D Vision (3DV), London, United Kingdom, Dec. 1 2021 to Dec. 3 2021) [Contributo in Atti di convegno]Open Access
Boschi M.; Di Stefano L.; Alessandrini M., SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12664, pp. 552 - 565 (atti di: 25th International Conference on Pattern Recognition Workshops, ICPR 2020, Milano (Online), 2021) [Contributo in Atti di convegno]
