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)


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) PDF


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) PDF


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


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)


Nonparametric Label Propagation using Mutual Local Similarity in Nearest Neighbors
D. Giordano, I. Kavasidis, S. Palazzo, C. Spampinato
Computer Vision and Image Understanding (2015) PDF


Superpixel-Based Video Object Segmentation Using Perceptual Organization and Location Prior
Daniela Giordano, Francesca Murabito, Simone Palazzo, Concetto Spampinato
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015) PDF


Rejecting False Positives in Video Object Segmentation
Daniela Giordano, Isaak Kavasidis, Simone Palazzo, Concetto Spampinato
Computer Analysis of Images and Patterns (2015) PDF


Using the Eyes to "See" the Objects
Concetto Spampinato, Simone Palazzo, Francesca Murabito, and Daniela Giordano
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference (2015) PDF


A diversity-based search approach to support annotation of a large fish image dataset
D. Giordano, S. Palazzo and C. Spampinato
Multimedia Systems (2015) PDF


LifeCLEF 2015: Multimedia Life Species Identification Challenges
Alexis Joly , Herve Goeau, Herve Glotin, Concetto Spampinato, Pierre Bonnet, Willem-Pier Vellinga, Robert Planque, Andreas Rauber, Simone Palazzo, Bob Fisher, Henning Muller
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings (2015)


A research tool for long-term and continuous analysis of fish assemblage in coralreefs using underwater camera footage
Bastiaan J. Boom, Jiyin He, Simone Palazzo, Phoenix X. Huang, Cigdem Beyan, Hsiu-Mei Chou, Fang-Pang Lin, Concetto Spampinato, Robert B. Fisher
Ecological Informatics (2014) PDF


A texton-based kernel density estimation approach for background modeling under extreme conditions
C. Spampinato, S. Palazzo, I. Kavasidis
Computer Vision and Image Understanding (2014) PDF


Large Scale Data Processing in Ecology: A Case Study on Long-Term Underwater Video Monitoring
Palazzo, S.; Spampinato, C.; Giordano, D.
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conference on (2014) PDF


Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling
Daniela Giordano, Simone Palazzo, and Concetto Spampinato
Proceedings of the 2014 22Nd International Conference on Pattern Recognition (2014) PDF



"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."