Foto del docente

Luigi Di Stefano

Full Professor

Department of Computer Science and Engineering

Academic discipline: IINF-05/A Information Processing Systems

Publications

Salti, Samuele; Tombari, Federico; Spezialetti, Riccardo; Di Stefano, Luigi, Learning a descriptor-specific 3D keypoint detector, in: Proceedings of the IEEE International Conference on Computer Vision, Institute of Electrical and Electronics Engineers Inc., 2015, pp. 2318 - 2326 (atti di: 15th IEEE International Conference on Computer Vision, ICCV 2015, Santiago del Cile, Cile, Dicembre 2015) [Contribution to conference proceedings]

Patent n. US10585937B2, Method for visual search, corresponding system, apparatus and computer program product.

Petrelli, Alioscia; Pau, Danilo; Plebani, Emanuele; Di Stefano, Luigi, RGB-D Visual Search with Compact Binary Codes, in: Proceedings - 2015 International Conference on 3D Vision, 3DV 2015, Institute of Electrical and Electronics Engineers Inc., 2015, pp. 82 - 90 (atti di: 2015 International Conference on 3D Vision, 3DV 2015, ENS, fra, 2015) [Contribution to conference proceedings]

Fioraio, Nicola; DI STEFANO, Luigi, SlamDunk: Affordable Real-Time RGB-D SLAM, in: Computer Vision - ECCV 2014 Workshops, Springer, 2015, pp. 401 - 414 (atti di: European Conference on Computer Vision (ECCV), Zurigo (CH), 6 Settembre 2014) [Contribution to conference proceedings]

Salti, Samuele; Lanza, Alessandro; Di Stefano, Luigi, Synergistic change detection and tracking, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY», 2015, 25, Article number: 6894184 , pp. 609 - 622 [Scientific article]

Tombari, Federico; Di Stefano, Luigi, The Maximal Self-Dissimilarity Interest Point Detector, «IPSJ TRANSACTIONS ON COMPUTER VISION AND APPLICATIONS», 2015, 7, pp. 175 - 188 [Scientific article]

Salti, Samuele; Petrelli, Alioscia; Tombari, Federico; Fioraio, Nicola; DI STEFANO, Luigi, Traffic sign detection via interest region extraction, «PATTERN RECOGNITION», 2015, 48, pp. 1039 - 1049 [Scientific article]

Tombari, Federico; Fioraio, Nicola; Cavallari, Tommaso; Salti, Samuele; Petrelli, Alioscia; DI STEFANO, Luigi, Automatic detection of pole-like structures in 3D urban environments, in: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, 2014, pp. 4922 - 4929 (atti di: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, Chicago, 14-18 Sept. 2014) [Contribution to conference proceedings]

Samuele Salti;Federico Tombari;Luigi Di Stefano, SHOT: Unique signatures of histograms for surface and texture description, «COMPUTER VISION AND IMAGE UNDERSTANDING», 2014, 125, pp. 251 - 264 [Scientific article]

Samuele Salti; Alioscia Petrelli; Federico Tombari; Nicola Fioraio; Luigi Di Stefano, A traffic sign detection pipeline based on interest region extraction, in: Proc. of the 2013 International Joint Conference on Neural Networks (IJCNN), IEEE, 2013, pp. 1 - 7 (atti di: Neural Networks (IJCNN), The 2013 International Joint Conference on, Dallas, TX - USA, 4-9 Aug. 2013) [Contribution to conference proceedings]

Federico Tombari;Alessandro Franchi;Luigi Di Stefano, BOLD Features to Detect Texture-less Objects, in: 2013 IEEE International Conference on Computer Vision, IEEE, 2013, pp. 1265 - 1272 (atti di: 2013 IEEE International Conference on Computer Vision, Sydney, Australia, 1-8 Dec. 2013) [Contribution to conference proceedings]

Patent n. US9495607 B2, Describing objects using edge-pixel-feature descriptors.

Patent n. 9131163, Efficient compact descriptors in visual search systems.

Patent n. US 9131163B2, Efficient compact descriptors in visual search systems.

Daniele Palossi;Federico Tombari;Samuele Salti;Martino Ruggiero;Luigi Di Stefano;Luca Benini, GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, in: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013 IEEE Conference Proceedings, 2013, pp. 584 - 591 (atti di: Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, Portland, OR, 23-28 June 2013) [Contribution to conference proceedings]