Luigi di Stefano

ORCID

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 87

Top Venues

Publications

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)
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. WACV (2022)
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)
Adriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries. CoRR (2021)
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)
Samuele Salti, Alessandro Lanza, Luigi di Stefano
Keypoint detection by wave propagation. J. Electronic Imaging 30 (1) (2021)
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 (2021)
Gianluca Berardi, Samuele Salti, Luigi di Stefano
SketchyDepth: from Scene Sketches to RGB-D Images. ICCVW (2021)
Filippo Aleotti, Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi di Stefano
Neural Disparity Refinement for Arbitrary Resolution Stereo. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi di Stefano
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. CoRR (2020)
Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi di Stefano
Semiautomatic Labeling for Deep Learning in Robotics. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
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)
Marco Boschi, Luigi di Stefano, Martino Alessandrini
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. CoRR (2020)
Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi di Stefano
Learning to Orient Surfaces by Self-supervised Spherical CNNs. NeurIPS (2020)
Riccardo Spezialetti, Federico Stella, Marlon Marcon, Luciano Silva, Samuele Salti, Luigi di Stefano
Learning to Orient Surfaces by Self-supervised Spherical CNNs. CoRR (2020)
Marco Boschi, Luigi di Stefano, Martino Alessandrini
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. ICPR Workshops (4) (2020)
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) (2020)
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)
Alessandro Berlati, Oliver Scheel, Luigi di Stefano, Federico Tombari
Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models. CoRR (2020)
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) (2020)
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 (2020)
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)
Matteo Poggi, Alessio Tonioni, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Continual Adaptation for Deep Stereo. CoRR (2020)
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) (2020)
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 (2019)
Riccardo Spezialetti, Samuele Salti, Luigi di Stefano
Learning an Effective Equivariant 3D Descriptor Without Supervision. ICCV (2019)
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi di Stefano
Learning Across Tasks and Domains. ICCV (2019)
Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano
Real-Time Self-Adaptive Deep Stereo. CVPR (2019)
Daniele De Gregorio, Alessio Tonioni, Gianluca Palli, Luigi di Stefano
Semi-Automatic Labeling for Deep Learning in Robotics. CoRR (2019)
Alessio Tonioni, Luigi di Stefano
Domain invariant hierarchical embedding for grocery products recognition. CoRR (2019)
Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano
Unsupervised Domain Adaptation for Depth Prediction from Images. CoRR (2019)
Riccardo Spezialetti, Samuele Salti, Luigi di Stefano
Performance Evaluation of Learned 3D Features. CoRR (2019)
Riccardo Spezialetti, Samuele Salti, Luigi di Stefano
Learning an Effective Equivariant 3D Descriptor Without Supervision. CoRR (2019)
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 (5) (2019)
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)
Pierluigi Zama Ramirez, Claudio Paternesi, Daniele De Gregorio, Luigi di Stefano
Shooting Labels: 3D Semantic Labeling by Virtual Reality. CoRR (2019)
Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi di Stefano
Boosting Object Recognition in Point Clouds by Saliency Detection. ICIAP Workshops (2019)
Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr
Learning to Adapt for Stereo. CoRR (2019)
Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr
Learning to Adapt for Stereo. CVPR (2019)
Alessio Tonioni, Luigi di Stefano
Domain invariant hierarchical embedding for grocery products recognition. Comput. Vis. Image Underst. 182 (2019)
Pierluigi Zama Ramirez, Alessio Tonioni, Samuele Salti, Luigi di Stefano
Learning Across Tasks and Domains. CoRR (2019)
Marlon Marcon, Riccardo Spezialetti, Samuele Salti, Luciano Silva, Luigi di Stefano
Boosting Object Recognition in Point Clouds by Saliency Detection. CoRR (2019)
Riccardo Spezialetti, Samuele Salti, Luigi di Stefano
Performance Evaluation of Learned 3D Features. ICIAP (1) (2019)
Alioscia Petrelli, Luigi di Stefano
Learning-to-rank approach to RGB-D visual search. J. Electronic Imaging 27 (05) (2018)
Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano
Real-time self-adaptive deep stereo. CoRR (2018)
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi di Stefano
Exploiting semantics in adversarial training for image-level domain adaptation. IPAS (2018)
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Geometry meets semantics for semi-supervised monocular depth estimation. CoRR (2018)
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 (2018)
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi di Stefano
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation. ACCV (3) (2018)
Daniele De Gregorio, Gianluca Palli, Luigi di Stefano
Let's take a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation. CoRR (2018)
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)
Alessio Tonioni, Eugenio Serra, Luigi di Stefano
A deep learning pipeline for product recognition on store shelves. IPAS (2018)
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi di Stefano
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation. CoRR (2018)
Alessio Tonioni, Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi di Stefano
Learning to Detect Good 3D Keypoints. Int. J. Comput. Vis. 126 (1) (2018)
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)
Alessio Tonioni, Eugenio Serra, Luigi di Stefano
A deep learning pipeline for product recognition on store shelves. CoRR (2018)
Daniele De Gregorio, Tommaso Cavallari, Luigi di Stefano
SkiMap++: Real-Time Mapping and Object Recognition for Robotics. ICCV Workshops (2017)
Alioscia Petrelli, Luigi di Stefano
Learning to Weight Color and Depth for RGB-D Visual Search. ICIAP (1) (2017)
Alessio Tonioni, Luigi di Stefano
Product Recognition in Store Shelves as a Sub-Graph Isomorphism Problem. ICIAP (1) (2017)
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 (2017)
Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Alessio Tonioni, Luigi di Stefano
Learning confidence measures in the wild. BMVC (2017)
Daniele De Gregorio, Luigi di Stefano
SkiMap: An Efficient Mapping Framework for Robot Navigation. CoRR (2017)
Alessio Tonioni, Luigi di Stefano
Product recognition in store shelves as a sub-graph isomorphism problem. CoRR (2017)
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)
Daniele De Gregorio, Luigi di Stefano
SkiMap: An efficient mapping framework for robot navigation. ICRA (2017)
Alessio Tonioni, Matteo Poggi, Stefano Mattoccia, Luigi di Stefano
Unsupervised Adaptation for Deep Stereo. ICCV (2017)
Tommaso Cavallari, Luigi di Stefano
SemanticFusion: Joint Labeling, Tracking and Mapping. ECCV Workshops (3) (2016)
Alioscia Petrelli, Luigi di Stefano
Pairwise Registration by Local Orientation Cues. Comput. Graph. Forum 35 (6) (2016)
Gianfranco Mariosa, Nicola Fioraio, Alessandro Franchi, Luigi di Stefano
Surface Reconstruction from Range Images. STAG (2016)
Daniele De Gregorio, Federico Tombari, Luigi di Stefano
RobotFusion: Grasping with a Robotic Manipulator via Multi-view Reconstruction. ECCV Workshops (3) (2016)
Tommaso Cavallari, Luigi di Stefano
On-Line Large Scale Semantic Fusion. ECCV Workshops (3) (2016)
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)
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) (2016)
Samuele Salti, Federico Tombari, Riccardo Spezialetti, Luigi di Stefano
Learning a Descriptor-Specific 3D Keypoint Detector. ICCV (2015)
Samuele Salti, Alessandro Lanza, Luigi di Stefano
Synergistic Change Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. 25 (4) (2015)
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)
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)
Federico Tombari, Luigi di Stefano
The Maximal Self-dissimilarity Interest Point Detector. IPSJ Trans. Comput. Vis. Appl. 7 (2015)
Alioscia Petrelli, Danilo Pau, Emanuele Plebani, Luigi di Stefano
RGB-D Visual Search with Compact Binary Codes. 3DV (2015)
Tommaso Cavallari, Luigi di Stefano
Volume-based Semantic Labeling with Signed Distance Functions. CoRR (2015)
Tommaso Cavallari, Luigi di Stefano
Volume-Based Semantic Labeling with Signed Distance Functions. PSIVT (2015)
Samuele Salti, Alioscia Petrelli, Federico Tombari, Nicola Fioraio, Luigi di Stefano
Traffic sign detection via interest region extraction. Pattern Recognit. 48 (4) (2015)
Federico Tombari, Luigi di Stefano
Bounded Non-Local Means for Fast and Effective Image Denoising. ICIAP (2) (2015)
Alioscia Petrelli, Danilo Pau, Luigi di Stefano
Analysis of Compact Features for RGB-D Visual Search. ICIAP (2) (2015)
Nicholas Brunetto, Nicola Fioraio, Luigi di Stefano
Interactive RGB-D SLAM on Mobile Devices. ACCV Workshops (3) (2014)
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)
Federico Tombari, Luigi di Stefano
Interest Points via Maximal Self-Dissimilarities. ACCV (2) (2014)
Samuele Salti, Federico Tombari, Luigi di Stefano
SHOT: Unique signatures of histograms for surface and texture description. Comput. Vis. Image Underst. 125 (2014)
Nicola Fioraio, Luigi di Stefano
SlamDunk: Affordable Real-Time RGB-D SLAM. ECCV Workshops (1) (2014)
Federico Tombari, Alessandro Franchi, Luigi di Stefano
BOLD Features to Detect Texture-less Objects. ICCV (2013)
Samuele Salti, Alessandro Lanza, Luigi di Stefano
Keypoints from Symmetries by Wave Propagation. CVPR (2013)
Federico Tombari, Samuele Salti, Luigi di Stefano
Performance Evaluation of 3D Keypoint Detectors. Int. J. Comput. Vis. 102 (1-3) (2013)
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)
Samuele Salti, Luigi di Stefano
On-line Support Vector Regression of the transition model for the Kalman filter. Image Vis. Comput. 31 (6-7) (2013)
Samuele Salti, Alioscia Petrelli, Federico Tombari, Nicola Fioraio, Luigi di Stefano
A traffic sign detection pipeline based on interest region extraction. IJCNN (2013)
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)
Nicola Fioraio, Luigi di Stefano
Joint Detection, Tracking and Mapping by Semantic Bundle Adjustment. CVPR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luigi di Stefano