The VIISAR research group (Visão e Inteligência Artificial, in portuguese) is part of the Center of Informatics (CIn) at the Federal University of Pernambuco (UFPE). The principal research areas are Computer Vision, Deep Learning, Pattern Recognition, Image Processing, Document Analysis and Recognition, Biometry.


News
Aug/2020 One paper accepted at SIBGRAPI 2020!
May/2020 VIISAR web page launched!!
March/2020 One paper accepted at SIGGRAPH 2020!

Members

Tsang Ing Ren
Professor
Fidel Alejandro Guerrero Pena
Pos Doc Student
Pedro Diamel Fernandez
Pos Doc Student
Fábio Henrique Lima
Ph.D. Student
Gabriel Carvalho
Ph.D. Student
Jair Galvão de Araújo
Ph.D. Student
Jorge Félix Batlle
Ph.D. Student
José Ivson da Silva
Ph.D. Student
Sérgio Renan Ferreira Vieira
Ph.D. Student
Carlos Henrique Pena
M.S. Student
Marcel Santos
M.S. Student
Pedro Gabriel Soares
M.S. Student

Past Members

Publications

2020
Single image HDR reconstruction using a CNN with masked features and perceptual loss
Santos, M. S., Ren, T. I., Kalantari, N. K.
ACM Trans. Graph. (SIGGRAPH) 39 (2020)
Burst Ranking for Blind Multi-Image Deblurring
Fidel Alejandro Guerrero Peña, Pedro Diamel Marrero Fernández, Tsang Ing Ren, Jorge de Jesus Gomes Leandro, Ricardo Massahiro Nishihara
IEEE Trans. Image Process. 29: 947-958 (2020)
Deep Metric Structured Learning For Facial Expression Recognition
Pedro D. Marrero-Fernández, Ing Ren Tsang, Ing-Jyh Tsang, Fidel A. Guerrero-Peña, Alexandre Cunha
CoRR abs/2001.06612 (2020)

2019
Combining binary classifiers in different dichotomy spaces for text categorization
Roberto H. W. Pinheiro, George D. C. Cavalcanti, Ing Ren Tsang
Appl. Soft Comput. 76: 564-574 (2019)
Corneal deformation amplitude analysis for keratoconus detection through compensation for intraocular pressure and integration with horizontal thickness profile
Edileuza Leão, Tsang Ing Ren, João M. Lyra, Aydano Machado, Robert Koprowski, Bernado Lopes, Riccardo Vinciguerra, Paolo Vinciguerra, Cynthia J. Roberts, Ahmed Elsheikh, Katarzyna Krysik, Renato Ambrósio Jr.
Comp. in Bio. and Med. 109: 263-271 (2019)
Endoscopy image restoration: A study of the kernel estimation from specular highlights
Fabiane Queiroz, Tsang Ing Ren
Digit. Signal Process. 88: 53-65 (2019)
Fast and robust multiple ColorChecker detection using deep convolutional neural networks
Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Tsang Ing Ren, Jorge J. G. Leandro
Image Vis. Comput. 81: 15-24 (2019)
Natural image segmentation with non-extensive mixture models
Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir, Tsang Ing Ren
J. Vis. Commun. Image Represent. 63 (2019)
FERAtt: Facial Expression Recognition With Attention Net
Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Tsang Ing Ren, Alexandre Cunha
CVPR Workshops 2019: 837-846 (2019)
A Weakly Supervised Method for Instance Segmentation of Biological Cells
Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Alexandre Cunha
DART/MIL3ID@MICCAI 2019: 216-224 (2019)
FERAtt: Facial Expression Recognition with Attention Net
Pedro D. Marrero-Fernández, Fidel A. Guerrero-Peña, Tsang Ing Ren, Alexandre Cunha
CoRR abs/1902.03284 (2019)
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss
David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Alain Tapp, Teresa Bernarda Ludermir
CoRR abs/1908.05569 (2019)
A Weakly Supervised Method for Instance Segmentation of Biological Cells
Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Alexandre Cunha
CoRR abs/1908.09891 (2019)
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion
Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Germano Crispim Vasconcelos, Alexandre Cunha
CoRR abs/1908.10945 (2019)
J Regularization Improves Imbalanced Multiclass Segmentation
Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha
CoRR abs/1910.09783 (2019)