Foto del docente

Luigi Di Stefano

Professore ordinario

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

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, «PROCEEDINGS - IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION», 2019, 2019-, pp. 9653 - 9662 (atti di: 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019, usa, 2019) [Contributo in Atti di convegno]

Brevetto 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, «LECTURE NOTES IN COMPUTER SCIENCE», 2019, 11751, pp. 519 - 531 (atti di: 20th International Conference on Image Analysis and Processing, ICIAP 2019, Trento, Italia, 2019) [Contributo in Atti di convegno]

Rahnama O.; Cavallari T.; Golodetz S.; Tonioni A.; Joy T.; Di Stefano L.; Walker S.; Torr P.H.S., Real-Time Highly Accurate Dense Depth on a Power Budget Using an FPGA-CPU Hybrid SoC, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS», 2019, 66, Article number: 8681073, pp. 773 - 777 [articolo]Open Access

A. Tonioni, F. Tosi , M. Poggi, S. Mattoccia, L. Di Stefano, Real-time self-adaptive deep stereo, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New York, IEEE/CVF, 2019, pp. 195 - 204 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, June 16-20 2019) [Contributo in Atti di convegno]Open Access

Tonioni, Alessio, Eugenio Serra, Luigi Di Stefano, A deep learning pipeline for product recognition on store shelves, in: Proceedings of the Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018), 2018, pp. 25 - 31 (atti di: International Conference on Image Processing, Applications and Systems (IPAS 2018), Sophia Antipholis, France, 12/12/2018-14/12/2018) [Contributo in Atti di convegno]

Ranalli, Luca; Di Stefano, Luigi; Plebani, Emanuele; Falchetto, Mirko; Pau, Danilo; D'Alto, Viviana, Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks, in: IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018, pp. 1 - 4 (atti di: 4th IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2018, Palermo, Italia, 10-13 Sept. 2018) [Contributo in Atti di convegno]

Pierluigi Zama, Alessio Tonioni, Luigi Di Stefano, Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation, in: Proceedings of the Third IEEE International Conference on Image Processing, Applications and Systems (IPAS 2018), 2018, pp. 49 - 54 (atti di: International Conference on Image Processing, Applications and Systems (IPAS 2018), Sophia Antipholis, France, 12/12/2018-14/12/2018) [Contributo in Atti di convegno]

Tonioni, Alessio; Salti, Samuele; Tombari, Federico; Spezialetti, Riccardo; Luigi Di, Stefano, Learning to Detect Good 3D Keypoints, «INTERNATIONAL JOURNAL OF COMPUTER VISION», 2018, 126, pp. 1 - 20 [articolo]

Petrelli, Alioscia*; Di Stefano, Luigi, Learning-To-rank approach to RGB-D visual search, «JOURNAL OF ELECTRONIC IMAGING», 2018, 27, Article number: 51212, pp. 1 - 11 [articolo]

Daniele De Gregorio, Gianluca Palli, Luigi Di Stefano, Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation, in: Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2018, pp. 1 - 16 (atti di: 14th Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2-6, 2018) [Contributo in Atti di convegno]

La Rota, Francesco M.; Di Stefano, Luigi, Automatically adjustable rear mirror based on computer vision, in: La Rota, Francesco M., 2017 International Conference of Electrical and Electronic Technologies for Automotive, Institute of Electrical and Electronics Engineers Inc., 2017, pp. 1 - 7 (atti di: 2017 International Conference of Electrical and Electronic Technologies for Automotive, Politecnico di Torino, Sede del Lingotto, Via Nizza 230, ita, 2017) [Contributo in Atti di convegno]

Tosi, F.; Poggi, M.; Mattoccia, S.; Tonioni, A.; Di Stefano, L.;, Learning confidence measures in the wild, in: Proceedings of 28th British Machine Vision Conference 2017 (BMVC 2017), The British Machine Vision Association and Society for Pattern Recognition, 2017, pp. 1 - 13 (atti di: 28th British Machine Vision Conference 2017 (BMVC 2017), London, Imperial College, 4th-7th September 2017) [Contributo in Atti di convegno]

Petrelli, Alioscia; Di Stefano, Luigi, Learning to weight color and depth for RGB-D visual search, in: IMAGE ANALYSIS AND PROCESSING,(ICIAP 2017), PT I, Springer Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2017, 10484, pp. 648 - 659 (atti di: 19th International Conference on Image Analysis and Processing, ICIAP 2017, ita, 2017) [Contributo in Atti di convegno]

Cavallari, Tommaso; Golodetz, Stuart; Lord, Nicholas A.; Valentin, Julien; Luigi Di, Stefano; Torr, Philip H. S., On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation, in: Cavallari, Tommaso, Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017, pp. 218 - 227 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 21-26 July 2017) [Contributo in Atti di convegno]