| 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 | 477 | 2017 |
| 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 | 306 | 2017 |
| LifeCLEF 2016: multimedia life species identification challenges A Joly, H Goëau, H Glotin, C Spampinato, P Bonnet, WP Vellinga, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th …, 2016 | 282 | 2016 |
| Overview of the JET results in support to ITER X Litaudon, S Abduallev, M Abhangi, P Abreu, M Afzal, KM Aggarwal, ... Nuclear Fusion 57 (10), 102001, 2017 | 207 | 2017 |
| Brain2Image Converting Brain Signals into Images I Kavasidis, S Palazzo, C Spampinato, D Giordano, M Shah Proceedings of the 25th ACM international conference on Multimedia, 1809-1817, 2017 | 159 | 2017 |
| 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 | 155 | 2014 |
| A saliency-based convolutional neural network for table and chart detection in digitized documents I Kavasidis, C Pino, S Palazzo, F Rundo, D Giordano, P Messina, ... Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 151 | 2019 |
| Decoding brain representations by multimodal learning of neural activity and visual features S Palazzo, C Spampinato, I Kavasidis, D Giordano, J Schmidt, M Shah IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 3833 …, 2020 | 142 | 2020 |
| Generative adversarial networks conditioned by brain signals S Palazzo, C Spampinato, I Kavasidis, D Giordano, M Shah Proceedings of the IEEE international conference on computer vision, 3410-3418, 2017 | 131 | 2017 |
| Efficient generation of energetic ions in multi-ion plasmas by radio-frequency heating YO Kazakov, J Ongena, JC Wright, SJ Wukitch, E Lerche, MJ Mantsinen, ... Nature Physics 13 (10), 973-978, 2017 | 129 | 2017 |
| An innovative web-based collaborative platform for video annotation I Kavasidis, S Palazzo, RD Salvo, D Giordano, C Spampinato Multimedia Tools and Applications 70, 413-432, 2014 | 122 | 2014 |
| 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 | 98 | 2015 |
| Lifeclef 2017 lab overview: multimedia species identification challenges A Joly, H Goëau, H Glotin, C Spampinato, P Bonnet, WP Vellinga, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 95 | 2017 |
| Long-term underwater camera surveillance for monitoring and analysis of fish populations BJ Boom, PX Huang, C Beyan, C Spampinato, S Palazzo, J He, ... International Workshop on Visual Observation and Analysis of Animal and …, 2012 | 74 | 2012 |
| A semi-automatic tool for detection and tracking ground truth generation in videos I Kavasidis, S Palazzo, R Di Salvo, D Giordano, C Spampinato Proceedings of the 1st international workshop on visual interfaces for …, 2012 | 68 | 2012 |
| 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 | 66 | 2014 |
| Hierarchical domain-adapted feature learning for video saliency prediction G Bellitto, F Proietto Salanitri, S Palazzo, F Rundo, D Giordano, ... International Journal of Computer Vision 129, 3216-3232, 2021 | 63 | 2021 |
| Understanding fish behavior during typhoon events in real-life underwater environments C Spampinato, S Palazzo, B Boom, J van Ossenbruggen, I Kavasidis, ... Multimedia Tools and Applications 70, 199-236, 2014 | 62 | 2014 |
| Covariance based Fish Tracking in Real-life Underwater Environment. C Spampinato, S Palazzo, D Giordano, I Kavasidis, FP Lin, YT Lin VISAPP (2), 409-414, 2012 | 61 | 2012 |
| Top-down saliency detection driven by visual classification F Murabito, C Spampinato, S Palazzo, D Giordano, K Pogorelov, ... Computer Vision and Image Understanding 172, 67-76, 2018 | 54 | 2018 |
Concetto SpampinatoUniversity of CataniaZweryfikowany adres z dieei.unict.it
