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
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]
Stefano Benni, Filippo Bonora, Luigi Di Stefano, Stefano Mattoccia, Matteo Poggi, Patrizia Tassinari, Daniele Torreggiani, COMPUTER VISION IDENTIFICATION AND POSITION DETECTION OF FRIESIAN COWS, in: Biosystem Engineering for sustainable agriculture, forestry and food production Conference Proceedings Book, 2019, pp. 211 - 211 (atti di: Biosystem Engineering for sustainable agriculture, forestry and food production, Matera (Italy), 12-13 September 2019) [Abstract]
Tonioni A.; Di Stefano L., Domain invariant hierarchical embedding for grocery products recognition, «COMPUTER VISION AND IMAGE UNDERSTANDING», 2019, 182, pp. 81 - 92 [Scientific article]
P. Zama Ramirez, M. Poggi, F. Tosi, S. Mattoccia, L. Di Stefano, Geometry meets semantic for semi-supervised monocular depth estimation, in: Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2019, pp. 298 - 313 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [Contribution to conference proceedings]
S. Melzi; R. Spezialetti; F. Tombari; M. M. Bronstein; L. Di Stefano; E. Rodolà, Gframes: Gradient-based local reference frame for 3D shape matching, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, 2019, 2019, pp. 4624 - 4633 (atti di: 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, usa, 2019) [Contribution to conference proceedings]
Ramirez, Pierluigi Zama; Tonioni, Alessio; Salti, Samuele; Stefano, Luigi Di, Learning Across Tasks and Domains, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, 2019, pp. 8109 - 8118 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contribution to conference proceedings]
Spezialetti, Riccardo; Salti, Samuele; Stefano, Luigi Di, Learning an Effective Equivariant 3D Descriptor Without Supervision, in: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, pp. 6400 - 6409 (atti di: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 Oct.-2 Nov. 2019) [Contribution to conference proceedings]
Tonioni A.; Rahnama O.; Joy T.; DI Stefano L.; Ajanthan T.; Torr P.H.S., Learning to adapt for stereo, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, 2019, 2019-, pp. 9653 - 9662 (atti di: 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, usa, 2019) [Contribution to conference proceedings]
Patent n. 102019000022707, Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema.
Spezialetti Riccardo; Salti Samuele; Di Stefano Luigi, Performance evaluation of learned 3D features, in: Image Analysis and Processing – ICIAP 2019, Springer Verlag, 2019, 11751, pp. 519 - 531 (atti di: 20th International Conference on Image Analysis and Processing, ICIAP 2019, Trento, Italia, 2019) [Contribution to conference proceedings]
