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ORCIDLuigi di Stefano
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- affiliation: University of Bologna, Italy
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2020 – today
- 2022
[c130]Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano:
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. WACV 2022: 1999-2009- [c129]Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. WACV 2022: 2010-2020 - 2021
- [j37]Daniele De Gregorio
, Matteo Poggi, Pierluigi Zama Ramirez, Gianluca Palli, Stefano Mattoccia, Luigi di Stefano:
Beyond the Baseline: 3D Reconstruction of Tiny Objects With Single Camera Stereo Robot. IEEE Access 9: 119755-119765 (2021) - [j36]Patrizia Tassinari, Marco Bovo, Stefano Benni, Simone Franzoni, Matteo Poggi, Ludovica Maria Eugenia Mammi, Stefano Mattoccia, Luigi di Stefano, Filippo Bonora, Alberto Barbaresi, Enrica Santolini, Daniele Torreggiani:
A computer vision approach based on deep learning for the detection of dairy cows in free stall barn. Comput. Electron. Agric. 182: 106030 (2021) - [j35]Samuele Salti, Alessandro Lanza, Luigi di Stefano:
Keypoint detection by wave propagation. J. Electronic Imaging 30(1): 013003 (2021) - [c128]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. 3DV 2021: 207-217 - [c127]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano:
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. 3DV 2021: 331-341 - [c126]Gianluca Berardi, Samuele Salti, Luigi di Stefano:
SketchyDepth: from Scene Sketches to RGB-D Images. ICCVW 2021: 2414-2423 - [i30]Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano:
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. CoRR abs/2110.02833 (2021) - [i29]Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano:
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2110.06685 (2021) - [i28]Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano:
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation. CoRR abs/2110.11036 (2021) - [i27]Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi di Stefano:
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR abs/2110.15367 (2021) - 2020
- [j34]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2396-2409 (2020) - [j33]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi di Stefano, Philip H. S. Torr:
Real-Time RGB-D Camera Pose Estimation in Novel Scenes Using a Relocalisation Cascade. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2465-2477 (2020) - [j32]Alessandro Berlati, Oliver Scheel, Luigi di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures With Recurrent Models. IEEE Robotics Autom. Lett. 5(2): 2935-2942 (2020) - [j31]Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi di Stefano:
Semiautomatic Labeling for Deep Learning in Robotics. IEEE Trans Autom. Sci. Eng. 17(2): 611-620 (2020) - [c125]Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. AIVR 2020: 99-106 - [c124]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. CVPR 2020: 4653-4664 - [c123]Marco Boschi, Luigi di Stefano, Martino Alessandrini:
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. ICPR Workshops (4) 2020: 552-565 - [c122]Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. ICPR 2020: 7419-7426 - [c121]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. NeurIPS 2020 - [i26]Alessandro Berlati, Oliver Scheel, Luigi di Stefano, Federico Tombari:
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models. CoRR abs/2003.10381 (2020) - [i25]Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. CoRR abs/2003.14030 (2020) - [i24]Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano:
Continual Adaptation for Deep Stereo. CoRR abs/2007.05233 (2020) - [i23]Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi di Stefano:
Learning to Orient Surfaces by Self-supervised Spherical CNNs. CoRR abs/2011.03298 (2020) - [i22]Marco Boschi, Luigi di Stefano, Martino Alessandrini:
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. CoRR abs/2012.02502 (2020) - [i21]Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi di Stefano:
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. CoRR abs/2012.13210 (2020)
2010 – 2019
- 2019
- [j30]Alessio Tonioni, Luigi di Stefano:
Domain invariant hierarchical embedding for grocery products recognition. Comput. Vis. Image Underst. 182: 81-92 (2019) - [j29]Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi di Stefano, Simon Walker, Philip H. S. Torr:
Real-Time Highly Accurate Dense Depth on a Power Budget Using an FPGA-CPU Hybrid SoC. IEEE Trans. Circuits Syst. II Express Briefs 66-II(5): 773-777 (2019) - [c120]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano:
Real-Time Self-Adaptive Deep Stereo. CVPR 2019: 195-204 - [c119]Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi di Stefano, Emanuele Rodolà:
GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching. CVPR 2019: 4629-4638 - [c118]Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Learning to Adapt for Stereo. CVPR 2019: 9661-9670 - [c117]Riccardo Spezialetti, Samuele Salti, Luigi di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. ICCV 2019: 6400-6409 - [c116]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi di Stefano:
Learning Across Tasks and Domains. ICCV 2019: 8109-8118 - [c115]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. ICIAP Workshops 2019: 321-331 - [c114]Riccardo Spezialetti, Samuele Salti, Luigi di Stefano:
Performance Evaluation of Learned 3D Features. ICIAP (1) 2019: 519-531 - [i20]Alessio Tonioni, Luigi di Stefano:
Domain invariant hierarchical embedding for grocery products recognition. CoRR abs/1902.00760 (2019) - [i19]Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr:
Learning to Adapt for Stereo. CoRR abs/1904.02957 (2019) - [i18]Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi di Stefano:
Learning Across Tasks and Domains. CoRR abs/1904.04744 (2019) - [i17]Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi di Stefano, Simon Walker, Philip H. S. Torr:
Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC. CoRR abs/1907.07745 (2019) - [i16]Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi di Stefano:
Semi-Automatic Labeling for Deep Learning in Robotics. CoRR abs/1908.01862 (2019) - [i15]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano:
Unsupervised Domain Adaptation for Depth Prediction from Images. CoRR abs/1909.03943 (2019) - [i14]Riccardo Spezialetti, Samuele Salti, Luigi di Stefano:
Performance Evaluation of Learned 3D Features. CoRR abs/1909.06884 (2019) - [i13]Riccardo Spezialetti, Samuele Salti, Luigi di Stefano:
Learning an Effective Equivariant 3D Descriptor Without Supervision. CoRR abs/1909.06887 (2019) - [i12]Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi di Stefano:
Shooting Labels: 3D Semantic Labeling by Virtual Reality. CoRR abs/1910.05021 (2019) - [i11]Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi di Stefano:
Boosting Object Recognition in Point Clouds by Saliency Detection. CoRR abs/1911.02286 (2019) - 2018
- [j28]Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi di Stefano:
Learning to Detect Good 3D Keypoints. Int. J. Comput. Vis. 126(1): 1-20 (2018) - [j27]Alioscia Petrelli, Luigi di Stefano:
Learning-to-rank approach to RGB-D visual search. J. Electronic Imaging 27(05): 051212 (2018) - [c113]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano:
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) 2018: 298-313 - [c112]Daniele De Gregorio, Gianluca Palli, Luigi di Stefano:
Let's Take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. ACCV (2) 2018: 662-677 - [c111]Alessio Tonioni, Eugenio Serra, Luigi di Stefano:
A deep learning pipeline for product recognition on store shelves. IPAS 2018: 25-31 - [c110]Pierluigi Zama Ramirez, Alessio Tonioni, Luigi di Stefano:
Exploiting semantics in adversarial training for image-level domain adaptation. IPAS 2018: 49-54 - [c109]Luca Ranalli, Luigi di Stefano, Emanuele Plebani, Mirko Falchetto, Danilo Pau, Viviana D'Alto:
Automated Generation of a Single Shot Detector C Library from High Level Deep Learning Frameworks. RTSI 2018: 1-4 - [i10]Alessio Tonioni, Eugenio Serra, Luigi di Stefano:
A deep learning pipeline for product recognition on store shelves. CoRR abs/1810.01733 (2018) - [i9]Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano:
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR abs/1810.04093 (2018) - [i8]Daniele De Gregorio, Gianluca Palli, Luigi di Stefano:
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. CoRR abs/1810.04461 (2018) - [i7]Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano:
Real-time self-adaptive deep stereo. CoRR abs/1810.05424 (2018) - [i6]Pierluigi Zama Ramirez, Alessio Tonioni, Luigi di Stefano:
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation. CoRR abs/1810.05852 (2018) - [i5]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Victor Adrian Prisacariu, Luigi di Stefano, Philip H. S. Torr:
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation Cascade. CoRR abs/1810.12163 (2018) - 2017
- [c108]Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi di Stefano:
Learning confidence measures in the wild. BMVC 2017 - [c107]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi di Stefano, Philip H. S. Torr:
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. CVPR 2017: 218-227 - [c106]Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano:
Unsupervised Adaptation for Deep Stereo. ICCV 2017: 1614-1622 - [c105]Daniele De Gregorio, Tommaso Cavallari, Luigi di Stefano:
SkiMap++: Real-Time Mapping and Object Recognition for Robotics. ICCV Workshops 2017: 660-668 - [c104]Alioscia Petrelli, Luigi di Stefano:
Learning to Weight Color and Depth for RGB-D Visual Search. ICIAP (1) 2017: 648-659 - [c103]Alessio Tonioni, Luigi di Stefano:
Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem. ICIAP (1) 2017: 682-693 - [c102]Daniele De Gregorio, Luigi di Stefano:
SkiMap: An efficient mapping framework for robot navigation. ICRA 2017: 2569-2576 - [i4]Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien P. C. Valentin, Luigi di Stefano, Philip H. S. Torr:
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation. CoRR abs/1702.02779 (2017) - [i3]Daniele De Gregorio, Luigi di Stefano:
SkiMap: An Efficient Mapping Framework for Robot Navigation. CoRR abs/1704.05832 (2017) - [i2]Alessio Tonioni, Luigi di Stefano:
Product recognition in store shelves as a sub-graph isomorphism problem. CoRR abs/1707.08378 (2017) - 2016
- [j26]Alioscia Petrelli, Luigi di Stefano:
Pairwise Registration by Local Orientation Cues. Comput. Graph. Forum 35(6): 59-72 (2016) - [j25]Aitor Aldoma, Federico Tombari, Luigi di Stefano, Markus Vincze:
A Global Hypothesis Verification Framework for 3D Object Recognition in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1383-1396 (2016) - [c101]Tommaso Cavallari, Luigi di Stefano:
On-Line Large Scale Semantic Fusion. ECCV Workshops (3) 2016: 83-99 - [c100]Federico Tombari, Samuele Salti, Luca Puglia, Giancarlo Raiconi, Luigi di Stefano:
A Radial Search Method for Fast Nearest Neighbor Search on Range Images. ECCV Workshops (3) 2016: 563-577 - [c99]Daniele De Gregorio, Federico Tombari, Luigi di Stefano:
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction. ECCV Workshops (3) 2016: 634-647 - [c98]Tommaso Cavallari, Luigi di Stefano:
SemanticFusion: Joint Labeling, Tracking and Mapping. ECCV Workshops (3) 2016: 648-664 - [c97]Gianfranco Mariosa, Nicola Fioraio, Alessandro Franchi, Luigi di Stefano:
Surface Reconstruction from Range Images. STAG 2016: 119-126 - 2015
- [j24]Federico Tombari, Luigi di Stefano:
The Maximal Self-dissimilarity Interest Point Detector. IPSJ Trans. Comput. Vis. Appl. 7: 175-188 (2015) - [j23]Samuele Salti, Alioscia Petrelli, Federico Tombari, Nicola Fioraio, Luigi di Stefano:
Traffic sign detection via interest region extraction. Pattern Recognit. 48(4): 1039-1049 (2015) - [j22]Samuele Salti, Alessandro Lanza, Luigi di Stefano:
Synergistic Change Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. 25(4): 609-622 (2015) - [c96]Alioscia Petrelli, Danilo Pau, Emanuele Plebani, Luigi di Stefano:
RGB-D Visual Search with Compact Binary Codes. 3DV 2015: 82-90 - [c95]Nicola Fioraio, Jonathan Taylor, Andrew W. Fitzgibbon, Luigi di Stefano, Shahram Izadi:
Large-scale and drift-free surface reconstruction using online subvolume registration. CVPR 2015: 4475-4483 - [c94]Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi di Stefano:
Learning a Descriptor-Specific 3D Keypoint Detector. ICCV 2015: 2318-2326 - [c93]Nicholas Brunetto, Samuele Salti, Nicola Fioraio, Tommaso Cavallari, Luigi di Stefano:
Fusion of Inertial and Visual Measurements for RGB-D SLAM on Mobile Devices. ICCV Workshops 2015: 148-156 - [c92]Alioscia Petrelli, Danilo Pau, Luigi di Stefano:
Analysis of Compact Features for RGB-D Visual Search. ICIAP (2) 2015: 14-24 - [c91]Federico Tombari, Luigi di Stefano:
Bounded Non-Local Means for Fast and Effective Image Denoising. ICIAP (2) 2015: 183-193 - [c90]Tommaso Cavallari, Luigi di Stefano:
Volume-Based Semantic Labeling with Signed Distance Functions. PSIVT 2015: 544-556 - [i1]Tommaso Cavallari, Luigi di Stefano:
Volume-based Semantic Labeling with Signed Distance Functions. CoRR abs/1511.04242 (2015) - 2014
- [j21]Samuele Salti, Federico Tombari, Luigi di Stefano:
SHOT: Unique signatures of histograms for surface and texture description. Comput. Vis. Image Underst. 125: 251-264 (2014) - [c89]Nicholas Brunetto, Nicola Fioraio, Luigi di Stefano:
Interactive RGB-D SLAM on Mobile Devices. ACCV Workshops (3) 2014: 339-351 - [c88]Federico Tombari, Luigi di Stefano:
Interest Points via Maximal Self-Dissimilarities. ACCV (2) 2014: 586-600 - [c87]Nicola Fioraio, Luigi di Stefano:
SlamDunk: Affordable Real-Time RGB-D SLAM. ECCV Workshops (1) 2014: 401-414 - [c86]Federico Tombari, Nicola Fioraio, Tommaso Cavallari, Samuele Salti, Alioscia Petrelli, Luigi di Stefano:
Automatic detection of pole-like structures in 3D urban environments. IROS 2014: 4922-4929 - 2013
- [j20]Michele Magno, Federico Tombari, Davide Brunelli, Luigi di Stefano, Luca Benini:
Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(2): 223-235 (2013) - [j19]Federico Tombari, Samuele Salti, Luigi di Stefano:
Performance Evaluation of 3D Keypoint Detectors. Int. J. Comput. Vis. 102(1-3): 198-220 (2013) - [j18]Samuele Salti, Luigi di Stefano:
On-line Support Vector Regression of the transition model for the Kalman filter. Image Vis. Comput. 31(6-7): 487-501 (2013) - [c85]Daniele Palossi, Federico Tombari, Samuele Salti, Martino Ruggiero, Luigi di Stefano, Luca Benini:
GPU-SHOT: Parallel Optimization for Real-Time 3D Local Description. CVPR Workshops 2013: 584-591 - [c84]Nicola Fioraio, Luigi di Stefano:
Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment. CVPR 2013: 1538-1545 - [c83]Samuele Salti, Alessandro Lanza, Luigi di Stefano:
Keypoints from Symmetries by Wave Propagation. CVPR 2013: 2898-2905 - [c82]Federico Tombari, Alessandro Franchi, Luigi di Stefano:
BOLD Features to Detect Texture-less Objects. ICCV 2013: 1265-1272 - [c81]Nicola Fioraio, Gregorio Cerri, Luigi di Stefano:
Towards Semantic KinectFusion. ICIAP (2) 2013: 299-308 - [c80]Aitor Aldoma, Federico Tombari, Johann Prankl, Andreas Richtsfeld, Luigi di Stefano, Markus Vincze:
Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation. ICRA 2013: 2104-2111 - [c79]Samuele Salti, Alioscia Petrelli, Federico Tombari, Nicola Fioraio, Luigi di Stefano:
A traffic sign detection pipeline based on interest region extraction. IJCNN 2013: 1-7 - 2012
- [j17]Federico Tombari, Luigi di Stefano:
Hough Voting for 3D Object Recognition under Occlusion and Clutter. IPSJ Trans. Comput. Vis. Appl. 4: 20-29 (2012) - [j16]Wanli Ouyang, Federico Tombari, Stefano Mattoccia, Luigi di Stefano, Wai-kuen Cham:
Performance Evaluation of Full Search Equivalent Pattern Matching Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 127-143 (2012) - [j15]Samuele Salti, Andrea Cavallaro, Luigi di Stefano:
Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation. IEEE Trans. Image Process. 21(10): 4334-4348 (2012) - [c78]Filippo Malaguti, Federico Tombari, Samuele Salti, Danilo Pau, Luigi di Stefano:
Toward Compressed 3D Descriptors. 3DIMPVT 2012: 176-183 - [c77]Alioscia Petrelli, Luigi di Stefano:
A Repeatable and Efficient Canonical Reference for Surface Matching. 3DIMPVT 2012: 403-410 - [c76]Samuele Salti, Alioscia Petrelli, Federico Tombari, Luigi di Stefano:
On the Affinity between 3D Detectors and Descriptors. 3DIMPVT 2012: 424-431 - [c75]Aitor Aldoma, Federico Tombari, Luigi di Stefano, Markus Vincze:
A Global Hypotheses Verification Method for 3D Object Recognition. ECCV (3) 2012: 511-524 - [c74]Filippo Malaguti, Danilo Pau, Luigi di Stefano:
Low complexity SIFT compression techniques. ICCE-Berlin 2012: 250-253 - 2011
- [j14]Francesca De Crescenzio, Massimiliano Fantini, Franco Persiani, Luigi di Stefano, Pietro Azzari, Samuele Salti:
Augmented Reality for Aircraft Maintenance Training and Operations Support. IEEE Computer Graphics and Applications 31(1): 96-101 (2011) - [j13]Luigi di Stefano, Carlo S. Regazzoni, Dan Schonfeld:
Advanced Video-Based Surveillance. EURASIP J. Image Video Process. 2011 (2011) - [j12]Alessandro Lanza, Luigi di Stefano:
Statistical Change Detection by the Pool Adjacent Violators Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1894-1910 (2011) - [j11]Stefano Mattoccia, Federico Tombari, Luigi di Stefano:
Efficient template matching for multi-channel images. Pattern Recognit. Lett. 32(5): 694-700 (2011) - [j10]Federico Tombari, Wanli Ouyang, Luigi di Stefano, Wai-kuen Cham:
Adaptive Low Resolution Pruning for fast Full Search-equivalent pattern matching. Pattern Recognit. Lett. 32(15): 2119-2127 (2011) - [c73]Federico Tombari, Luigi di Stefano:
3D Data Segmentation by Local Classification and Markov Random Fields. 3DIMPVT 2011: 212-219 - [c72]Samuele Salti, Federico Tombari, Luigi di Stefano:
A Performance Evaluation of 3D Keypoint Detectors. 3DIMPVT 2011: 236-243 - [c71]Alessandro Lanza, Samuele Salti, Luigi di Stefano:
Background subtraction by non-parametric probabilistic clustering. AVSS 2011: 243-248 - [c70]