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) [Contribution to conference proceedings]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, 2021, 12664, pp. 552 - 565 (atti di: 25th International Conference on Pattern Recognition Workshops, ICPR 2020, Milano (Online), 2021) [Contribution to conference proceedings]
Berardi G.; Salti S.; Di Stefano L., SketchyDepth: From Scene Sketches to RGB-D Images, in: Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 2414 - 2423 (atti di: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Online, 2021) [Contribution to conference proceedings]
Berlati Alessadro.; Scheel Oiver.; Luigi Di Stefano ; Tombari Federico, Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models, «IEEE ROBOTICS AND AUTOMATION LETTERS», 2020, 5, Article number: 9001185 , pp. 2935 - 2942 [Scientific article]Open Access
Patent n. US12005592B2, Creating training data variability in machine learning for object labelling from images.
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
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., 2020, pp. 7419 - 7426 (atti di: 25th International Conference on Pattern Recognition, ICPR 2020, ita (ELECTR NETWORK), 2021) [Contribution to conference proceedings]Open Access
Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi Di Stefano, Learning to Orient Surfaces by Self-supervised Spherical CNNs, in: Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020, pp. 1 - 12 (atti di: Advances in Neural Information Processing Systems (NeurIPS 2020), Virtual Conference, 06-12 December 2020) [Contribution to conference proceedings]Open Access
Cavallari, Tommaso; Golodetz, Stuart; Lord, Nicholas; Valentin, Julien; Prisacariu, Victor; Di Stefano, Luigi; Torr, Philip H S, Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2020, 42, pp. 2465 - 2477 [Scientific article]Open Access
De Gregorio, Daniele; Tonioni, Alessio; Palli, Gianluca; Di Stefano, Luigi, Semiautomatic Labeling for Deep Learning in Robotics, «IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING», 2020, 17, pp. 611 - 620 [Scientific article]Open Access
Pierluigi Zama Ramirez; Claudio Paternesi; Luigi Di Lella; Daniele De Gregorio; Luigi Di Stefano, Shooting Labels: 3D Semantic Labeling by Virtual Reality, in: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 99 - 106 (atti di: 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Utrecht, Netherlands, 14-18 December 2020) [Contribution to conference proceedings]Open Access
Arcidiacono C.; Barbari M.; Benni S.; Carfagna E.; Cascone G.; Conti L.; di Stefano L.; Guarino M.; Leso L.; Lovarelli D.; Mancino M.; Mattoccia S.; Minozzi G.; Porto S.M.C.; Provolo G.; Rossi G.; Sandrucci A.; Tamburini A.; Tassinari P.; Tomasello N.; Torreggiani D.; Valenti F., Smart Dairy Farming: Innovative Solutions to Improve Herd Productivity, in: Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production, Cham, Springer, 2020, pp. 265 - 270 (LECTURE NOTES IN CIVIL ENGINEERING) [Chapter or essay]Open Access
Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Di Stefano, Luigi, Unsupervised Domain Adaptation for Depth Prediction from Images, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2020, 42, pp. 2396 - 2409 [Scientific article]Open Access
Spezialetti, Riccardo; Salti, Samuele; Di Stefano, Luigi; Tombari, Federico, 3D Local Descriptors—from Handcrafted to Learned, in: 3D Imaging, Analysis and Applications, Cham, Springer, 2020, pp. 319 - 352 [Chapter or essay]Open Access
Marcon Marlon; Spezialetti Riccardo; Salti Samuele; Silva Luciano; Di Stefano Luigi, Boosting Object Recognition in Point Clouds by Saliency Detection, in: New Trends in Image Analysis and Processing – ICIAP 2019, Springer Verlag, 2019, 11808, pp. 321 - 331 (atti di: Industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019, Italia, 13/09/2019) [Contribution to conference proceedings]
