Foto del docente

Luigi Di Stefano

Full Professor

Department of Computer Science and Engineering

Academic discipline: IINF-05/A Information Processing Systems

Publications

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

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., 2021, pp. 7419 - 7426 (atti di: 25th International Conference on Pattern Recognition, ICPR 2020, ita (ELECTR NETWORK), 2021) [Contribution to conference proceedings]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 [Scientific article]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]

Spezialetti, Riccardo; Salti, Samuele; Di Stefano, Luigi, Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors, «AI», 2021, 2, pp. 229 - 243 [Scientific article]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) [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

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

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