Foto del docente

Luigi Di Stefano

Professore ordinario

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: IINF-05/A Sistemi di elaborazione delle informazioni

Pubblicazioni

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

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) [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]Open Access

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]

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., «PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION», 2021, 2021-, pp. 2414 - 2423 (atti di: 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Online, 2021) [Contributo in Atti di convegno]

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 [articolo]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) [Contributo in Atti di convegno]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), «ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS», 2020, pp. 1 - 12 (atti di: Advances in Neural Information Processing Systems (NeurIPS 2020), Virtual Conference, 06-12 December 2020) [Contributo in Atti di convegno]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 [articolo]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 [articolo]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., «...IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY», 2020, pp. 99 - 106 (atti di: 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020, Utrecht, Netherlands, 14-18 December 2020) [Contributo in Atti di convegno]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) [capitolo di libro]Open Access