| Thirty years of graph matching in pattern recognition D Conte, P Foggia, C Sansone, M Vento International journal of pattern recognition and artificial intelligence 18 …, 2004 | 1992 | 2004 |
| A survey on image-based insect classification C Martineau, D Conte, R Raveaux, I Arnault, D Munier, G Venturini Pattern Recognition 65, 273-284, 2017 | 244 | 2017 |
| Challenging complexity of maximum common subgraph detection algorithms: A performance analysis of three algorithms on a wide database of graphs D Conte, P Foggia, M Vento Journal of Graph Algorithms and Applications 11 (1), 99-143, 2007 | 139 | 2007 |
| An open framework for remote-PPG methods and their assessment G Boccignone, D Conte, V Cuculo, A d’Amelio, G Grossi, R Lanzarotti Ieee Access 8, 216083-216103, 2020 | 108 | 2020 |
| A method for counting people in crowded scenes D Conte, P Foggia, G Percannella, F Tufano, M Vento 2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010 | 106 | 2010 |
| Graph matching applications in pattern recognition and image processing D Conte, P Foggia, C Sansone, M Vento Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 81 | 2003 |
| A method for counting moving people in video surveillance videos D Conte, P Foggia, G Percannella, F Tufano, M Vento EURASIP Journal on Advances in Signal Processing 2010, 1-10, 2010 | 80 | 2010 |
| Identifying language and cognitive profiles in children with ASD via a cluster analysis exploration: Implications for the new ICD‐11 S Silleresi, P Prévost, R Zebib, F Bonnet‐Brilhault, D Conte, L Tuller Autism Research 13 (7), 1155-1167, 2020 | 57 | 2020 |
| Counting moving people in videos by salient points detection D Conte, P Foggia, G Percannella, F Tufano, M Vento 2010 20th International Conference on Pattern Recognition, 1743-1746, 2010 | 54 | 2010 |
| Computer-aided detection system for nerve identification using ultrasound images: a comparative study O Hadjerci, A Hafiane, D Conte, P Makris, P Vieyres, A Delbos Informatics in Medicine Unlocked 3, 29-43, 2016 | 52 | 2016 |
| pyVHR: a Python framework for remote photoplethysmography G Boccignone, D Conte, V Cuculo, A D’Amelio, G Grossi, R Lanzarotti, ... PeerJ Computer Science 8, e929, 2022 | 51 | 2022 |
| An ensemble of rejecting classifiers for anomaly detection of audio events D Conte, P Foggia, G Percannella, A Saggese, M Vento 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based …, 2012 | 51 | 2012 |
| Performance evaluation of a people tracking system on pets2009 database D Conte, P Foggia, G Percannella, M Vento 2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010 | 46 | 2010 |
| How and why pattern recognition and computer vision applications use graphs D Conte, P Foggia, C Sansone, M Vento Applied Graph Theory in Computer Vision and Pattern Recognition, 85-135, 2007 | 44 | 2007 |
| A method based on the indirect approach for counting people in crowded scenes D Conte, P Foggia, G Percannella, M Vento 2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010 | 40 | 2010 |
| Counting moving persons in crowded scenes D Conte, P Foggia, G Percannella, M Vento Machine vision and applications 24, 1029-1042, 2013 | 39 | 2013 |
| A graph-based, multi-resolution algorithm for tracking objects in presence of occlusions D Conte, P Foggia, JM Jolion, M Vento Pattern Recognition 39 (4), 562-572, 2006 | 38 | 2006 |
| AMHUSE: a multimodal dataset for HUmour SEnsing G Boccignone, D Conte, V Cuculo, R Lanzarotti Proceedings of the 19th ACM international conference on multimodal …, 2017 | 32 | 2017 |
| Image quality assessment based on regions of interest A Alaei, R Raveaux, D Conte Signal, Image and Video Processing 11, 673-680, 2017 | 30 | 2017 |
| Nerve detection in ultrasound images using median Gabor binary pattern O Hadjerci, A Hafiane, P Makris, D Conte, P Vieyres, A Delbos Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014 | 30 | 2014 |
Pasquale FoggiaProfessor of Computer Engineering, University of Salernoبريد إلكتروني تم التحقق منه على unisa.it
