perceive@dieei.unict.it   @PeRCeiVeLab   +39 095 738 7902

Simone Palazzo
Post-doctoral research assistant

About Me

My main research activity focuses on the application of deep learning techniques (CNN, RNN, GAN) to several practical use cases, from medical image analysis to EEG processing to document classification. During my Ph.D. I have studied and compared different human-computer interaction modalities and related methods for integrating human feedback into automatic computer vision methods, both based on deep learning and not. In the past, I have also worked with video object segmentation and tracking for underwater scenarios.
I have a strong programming background (learned on my own) and a good mathematical background (thanks to my engineering studies), which usually take me to a "hands-on" approach when studying and experimenting with new research findings and ideas.
Work aside, I am very passionate about football (the round-ball one), music (preferably with a couple of electric guitars, bass and drums, but I'm not a fundamentalist) and books (mostly 14-volume-long fantasy sagas, lately).


Education

Ph.D. in Computer Engineering (2016)

University of Catania, Italy

Thesis: "Hybrid human-machine vision systems for automated object segmentation and categorization"

Master's degree in Computer Engineering (2010)

University of Catania, Italy

Bachelor's degree in Computer Engineering (2007)

University of Catania, Italy

Deep Learning Human Mind for Automated Visual Classification
C. Spampinato, S. Palazzo, I. Kavasidis, D. Giordano, N. Souly, M. Shah
Accepted for oral presentation at CVPR 2017 PDF (draft)


Top-down saliency detection driven by visual classification
Murabito Francesca and Spampinato Concetto and Palazzo Simone and Giordano Daniela and Pogorelov Konstantin and Riegler Michael
Computer Vision and Image Understanding (2018)


VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos
Spampinato Concetto and Palazzo Sergio and D Oro P and Murabito Francesca and Giordano Daniela and Shah M
arXiv preprint arXiv:1803.09092 (2018)


A Saliency-based Convolutional Neural Network for Table and Chart Detection in Digitized Documents
Kavasidis Isaak and Palazzo Sergio and Spampinato Concetto and Pino Carmelo and Giordano Daniela and Giuffrida D and Messina P
arXiv preprint arXiv:1804.06236 (2018)


Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features
Palazzo Simone and Spampinato Concetto and Kavasidis Isaak and Giordano Daniela and Shah Mubarak
arXiv preprint arXiv:1810.10974 (2018)


Generating Synthetic Video Sequences by Explicitly Modeling Object Motion
Palazzo S and Spampinato C and D’Oro P and Giordano D and Shah M
European Conference on Computer Vision (2018)


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 (2017)


Deep learning human mind for automatic visual classification
Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Nasim Souly, Mubarak Shah
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. (2017)


Lifeclef 2017 lab overview: multimedia species identification challenges
Joly Alexis and Go eau Herv e and Glotin Herv e and Spampinato Concetto and Bonnet Pierre and Vellinga Willem-Pier and Lombardo Jean-Christophe and Planque Robert and Palazzo Simone and M uller Henning
International Conference of the Cross-Language Evaluation Forum for European Languages (2017)


Generating Knowledge-Enriched Image Annotations for Fine-Grained Visual Classification
Murabito Francesca and Palazzo Simone and Spampinato Concetto and Giordano Daniela
International Conference on Image Analysis and Processing (2017)


Brain2image: Converting brain signals into images
Kavasidis Isaak and Palazzo Simone and Spampinato Concetto and Giordano Daniela and Shah Mubarak
Proceedings of the 25th ACM international conference on Multimedia (2017)


Implicit Vs. Explicit Human Feedback for Interactive Video Object Segmentation
Murabito Francesca and Palazzo Simone and Spampinato Concetto and Giordano Daniela
International Conference on Image Analysis and Processing (2017)


Fine-grained object recognition in underwater visual data
Spampinato, C., Palazzo, S., Joalland, P.H., Paris, S., Glotin, H., Blanc, K., Lingrand, D., Precioso, F.
Multimedia Tools and Applications (2016)


Gamifying Video Object Segmentation
C. Spampinato; S. Palazzo; D. Giordano
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)


Fish Detection
Daniela Giordano, Simone Palazzo, Concetto Spampinato
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (2016)


Fish Tracking
Daniela Giordano, Simone Palazzo, Concetto Spampinato
Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (2016)



"Nature is the source of all true knowledge. She has her own logic, her own laws,
she has no effect without cause nor invention without necessity." L. Da Vinci."