Dr. Eraldo Ribeiro

Associate Professor of Computer Science

Florida Institute of Technology

Biography

I am an Associate Professor of Computer Sciences at Florida Institute of Technology. In 2001, I was awarded a Ph.D. degree in Computer Vision in the Department of Computer Science at The University of York, U.K. under the supervision of Professor Edwin R. Hancock. Prior to this, I gained a Master of Science Degree in Computer Science (Image Processing) at the Federal University of Sao Carlos (UFSCar-SP), Brazil in 1995. My first degree is in Mathematics from the Catholic University of Salvador, Brazil, 1992.

My research interests are in the areas of computer vision and pattern recognition. Ongoing research topics include 3-D shape modeling, image registration, human-motion recognition. I also work on shape-from-X, texture classification and segmentation, and object recognition. I am an associate editor for the Machine Vision and Applications Journal and for the Journal of Signal, Image, and Video Processing. I am a frequent reviewer for major journals and conferences in computer vision, image processing, and pattern recognition.

Interests

Computer Vision
Pattern Recognition
Image and Video Analysis
Machine Learning

Education

Ph.D. in Computer Vision, 2001

The University of York, United Kingdom
M.Sc. in Computer Science, 1995

Federal University of Sao Carlos, Brazil
B.Sc. in Mathematics, 1992

Catholic University of Salvador

Latest Publications

All Publications

Yan Li, Carly Randall, Eraldo Ribeiro, Robert van Woesik (2018). Underwater video mosaicing using topology and superpixel-based pairwise stitching. Expert Systems with Applications.

Project

Marcos Oliveira, Eraldo Ribeiro, Carmelo Bastos-Filho, Ronaldo Menezes (2018). Spatio-temporal variations in the urban rhythm: the travelling waves of crime. EPJ Data Science.

PDF Project

D. Portes Leal Ferreira, E. Ribeiro, C. A. Zorzo Barcelos (2018). A variational approach to non-rigid image registration with Bregman divergences and multiple features. Pattern Recognition.

PDF Project

A. Daood, E. Ribeiro, M. Bush (2018). Sequential Recognition of Pollen Grain Z-Stacks by Combining CNN and RNN. Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, Melbourne, Florida, USA. May 21–23. Published by The AAAI Press, Palo Alto, California..

PDF Project

E. Ribeiro, Marcos Batista, Eraldo Ribeiro, Celia Barcelos (2018). Using Neural Networks to Include Semantic Information into Classification. Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, Melbourne, Florida, USA. May 21–23. Published by The AAAI Press, Palo Alto, California..

D. P. L. Ferreira, E. Ribeiro, C. Barcelos (2017). Variational Nonrigid Registration with Bregman Divergences. Proc. ACM SIGAPP Symposium On Applied Computing (SAC).

Project

J. Strout, B. Rogan, S. Mohammad Mahdi Seyednezhad, M. Bush, E. Ribeiro (2017). Anuran Call Classification with Deep Learning. Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

Project

M. Tomasini and Katrina Smart and Ronaldo Menezes and Mark Bush and Eraldo Ribeiro (2017). Automated robust Anuran classification by extracting elliptical feature pairs from audio spectrograms. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017.

Project

D. P. L. Ferreira, E. Ribeiro, C. A. Z. Barcelos (2017). Variational Non Rigid Registration with Bregman Divergences. Proceedings of the Symposium on Applied Computing (SAC).

PDF Project

I. Bogun, E. Ribeiro (2016). Object-Aware Tracking. IEEE International Conference on Pattern Recognition (ICPR).

Project