2026 Luigi Di Stefano: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6726	6532	162	160	206	11574

Overview

Luigi Di Stefano is affiliated with the University of Bologna in Italy and has a significant research portfolio primarily within computer science and engineering. The areas of focus in their work include computer vision and pattern recognition, artificial intelligence, aerospace engineering, computational mechanics, and geology.

The research topics Luigi Di Stefano has contributed to cover diverse themes such as:

Advanced Vision and Imaging
Advanced Neural Network Applications
Robotics and Sensor-Based Localization
Domain Adaptation and Few-Shot Learning
3D Shape Modeling and Analysis
Human Pose and Action Recognition
3D Surveying and Cultural Heritage

Frequent collaborators in their publications include:

Samuele Salti
Pierluigi Zama Ramirez
Matteo Poggi
Stefano Mattoccia
Adriano Cardace

Luigi Di Stefano's work has been published in various venues. The most frequent venues include:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Access
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Notable recent publications by Luigi Di Stefano are:

A computer vision approach based on deep learning for the detection of dairy cows in free stall barn, 2021, Computers and Electronics in Agriculture
Open Challenges in Deep Stereo: the Booster Dataset, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Self-Distillation for Unsupervised 3D Domain Adaptation, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Best Publications

Unique signatures of histograms for local surface description

Federico Tombari;Samuele Salti;Luigi Di Stefano

1776
Citations
SHOT: Unique signatures of histograms for surface and texture description

Samuele Salti;Federico Tombari;Luigi Di Stefano

978
Citations
A fast area-based stereo matching algorithm

Luigi Di Stefano;Massimiliano Marchionni;Stefano Mattoccia

445
Citations
Performance Evaluation of 3D Keypoint Detectors

Federico Tombari;Samuele Salti;Luigi Di Stefano

432
Citations
A combined texture-shape descriptor for enhanced 3D feature matching

Federico Tombari;Samuele Salti;Luigi Di Stefano

399
Citations
Unique shape context for 3d data description

Federico Tombari;Samuele Salti;Luigi Di Stefano

367
Citations
A simple and efficient connected components labeling algorithm

Unknown

302
Citations
Augmented Reality for Aircraft Maintenance Training and Operations Support

Francesca De Crescenzio;Massimiliano Fantini;Franco Persiani;Luigi Di Stefano

300
Citations
Segmentation-based adaptive support for accurate stereo correspondence

Federico Tombari;Stefano Mattoccia;Luigi Di Stefano

293
Citations
ZNCC-based template matching using bounded partial correlation

Luigi Di Stefano;Stefano Mattoccia;Federico Tombari

289
Citations
Classification and evaluation of cost aggregation methods for stereo correspondence

F. Tombari;S. Mattoccia;L. Di Stefano;E. Addimanda

285
Citations
Object Recognition in 3D Scenes with Occlusions and Clutter by Hough Voting

Federico Tombari;Luigi Di Stefano

255
Citations
Real-Time Self-Adaptive Deep Stereo

Alessio Tonioni;Fabio Tosi;Matteo Poggi;Stefano Mattoccia

244
Citations
A global hypotheses verification method for 3d object recognition

Aitor Aldoma;Federico Tombari;Luigi Di Stefano;Markus Vincze

220
Citations
Fast template matching using bounded partial correlation

Luigi Di Stefano;Stefano Mattoccia

175
Citations
Multimodal cue integration through Hypotheses Verification for RGB-D object recognition and 6DOF pose estimation

A. Aldoma;F. Tombari;J. Prankl;A. Richtsfeld

161
Citations
On the repeatability of the local reference frame for partial shape matching

Alioscia Petrelli;Luigi Di Stefano

160
Citations
Traffic sign detection via interest region extraction

Samuele Salti;Alioscia Petrelli;Federico Tombari;Nicola Fioraio

155
Citations
A Performance Evaluation of 3D Keypoint Detectors

Samuele Salti;Federico Tombari;Luigi Di Stefano

129
Citations
Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation

Pierluigi Zama Ramirez;Matteo Poggi;Fabio Tosi;Stefano Mattoccia

128
Citations
People Tracking Using a Time-of-Flight Depth Sensor

Alessandro Bevilacqua;Luigi Di Stefano;Pietro Azzari

124
Citations
Fast Full-Search Equivalent Template Matching by Enhanced Bounded Correlation

S. Mattoccia;F. Tombari;L. Di Stefano

122
Citations

Frequent Co-Authors

Federico Tombari Technical University of Munich

Stefano Mattoccia University of Bologna

Gianluca Palli University of Bologna

Philip H. S. Torr University of Oxford

Luca Benini ETH Zurich

Davide Brunelli University of Trento

Michele Magno ETH Zurich

Alessandra Costanzo University of Bologna

Elisabetta Farella Fondazione Bruno Kessler

Luciano Bononi University of Bologna

External Links

Google Scholar page

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