Concetto Spampinato
Cím
Hivatkozott rá
Hivatkozott rá
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Detecting, Tracking and Counting Fish in Low Quality Unconstrained Underwater Videos.
C Spampinato, YH Chen-Burger, G Nadarajan, RB Fisher
VISAPP (2) 2008 (514-519), 1, 2008
2292008
Automatic fish classification for underwater species behavior understanding
C Spampinato, D Giordano, R Di Salvo, YHJ Chen-Burger, RB Fisher, ...
Proceedings of the first ACM international workshop on Analysis and …, 2010
1992010
Deep learning for automated skeletal bone age assessment in X-ray images
C Spampinato, S Palazzo, D Giordano, M Aldinucci, R Leonardi
Medical image analysis 36, 41-51, 2017
1692017
Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection
K Pogorelov, KR Randel, C Griwodz, SL Eskeland, T de Lange, ...
Proceedings of the 8th ACM on Multimedia Systems Conference, 164-169, 2017
1212017
Semi supervised semantic segmentation using generative adversarial network
N Souly, C Spampinato, M Shah
Proceedings of the IEEE International Conference on Computer Vision, 5688-5696, 2017
1062017
Adaptive background modeling integrated with luminosity sensors and occlusion processing for reliable vehicle detection
A Faro, D Giordano, C Spampinato
IEEE Transactions on Intelligent Transportation Systems 12 (4), 1398-1412, 2011
1022011
An automatic system for skeletal bone age measurement by robust processing of carpal and epiphysial/metaphysial bones
D Giordano, C Spampinato, G Scarciofalo, R Leonardi
IEEE Transactions on Instrumentation and Measurement 59 (10), 2539-2553, 2010
1002010
Automatic cephalometric analysis: a systematic review
R Leonardi, D Giordano, F Maiorana, C Spampinato
The Angle Orthodontist 78 (1), 145-151, 2008
912008
Combining literature text mining with microarray data: advances for system biology modeling
A Faro, D Giordano, C Spampinato
Briefings in bioinformatics 13 (1), 61-82, 2012
902012
An innovative web-based collaborative platform for video annotation
I Kavasidis, S Palazzo, R Di Salvo, D Giordano, C Spampinato
Multimedia Tools and Applications 70 (1), 413-432, 2014
882014
Deep learning human mind for automated visual classification
C Spampinato, S Palazzo, I Kavasidis, D Giordano, N Souly, M Shah
Proceedings of the IEEE conference on computer vision and pattern …, 2017
822017
A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footage
BJ Boom, J He, S Palazzo, PX Huang, C Beyan, HM Chou, FP Lin, ...
Ecological Informatics 23, 83-97, 2014
742014
Superpixel-based video object segmentation using perceptual organization and location prior
D Giordano, F Murabito, S Palazzo, C Spampinato
Proceedings of the IEEE conference on computer vision and pattern …, 2015
732015
Evaluation of the traffic parameters in a metropolitan area by fusing visual perceptions and CNN processing of webcam images
A Faro, D Giordano, C Spampinato
IEEE Transactions on Neural Networks 19 (6), 1108-1129, 2008
712008
Epiphysis and metaphysis extraction and classification by adaptive thresholding and DoG filtering for automated skeletal bone age analysis
D Giordano, R Leonardi, F Maiorana, G Scarciofalo, C Spampinato
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
702007
LifeCLEF 2015: multimedia life species identification challenges
A Joly, H Goëau, H Glotin, C Spampinato, P Bonnet, WP Vellinga, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2015
672015
Lifeclef 2014: multimedia life species identification challenges
A Joly, H Goëau, H Glotin, C Spampinato, P Bonnet, WP Vellinga, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2014
612014
Integrating location tracking, traffic monitoring and semantics in a layered ITS architecture
A Faro, D Giordano, C Spampinato
IET intelligent transport systems 5 (3), 197-206, 2011
582011
Semi and weakly supervised semantic segmentation using generative adversarial network
N Souly, C Spampinato, M Shah
arXiv preprint arXiv:1703.09695, 2017
522017
A texton-based kernel density estimation approach for background modeling under extreme conditions
C Spampinato, S Palazzo, I Kavasidis
Computer Vision and Image Understanding 122, 74-83, 2014
522014
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