SIBGRAPI 2018 Main Track


Timeline of Important Dates
Jun 11th
Jun 18th
Submission deadline
(hard deadline)
Aug 13th Notification of acceptance
Aug 27th
Sep 3rd
Camera-ready due

All deadlines are 23:59 PDT.
Warning: incomplete or late submissions will not be considered.


>> Click here for the list of Accepted Papers <<


Call for Technical Paper Contributions

The SIBGRAPI 2018 Main Track is the conventional conference submission track. We invite technical paper contributions to this track for works that present original unpublished research in the areas of computer graphics, computer vision, image processing, and/or pattern recognition. Manuscripts submitted to this track must be in English, should be between six and eight pages, and must be prepared following the SIBGRAPI 2018 IEEE template available below. All papers will pass through a confidential and double-blind review process by at least three experts in the topic of the work, and thus all submitted manuscripts must be anonymized. All papers accepted in this track are scheduled and must be presented at the conference (oral presentation). Please review our no-show and no-registration policy below or at this link.

The final conference program will only include accepted papers where at least one author registered with full registration rate (Professional SBC member or Professional non member) for the conference. For accepted papers where at least one author is already registered at the full rate, this fulfills the obligation for up to one (1) paper (i.e., each paper must be associated with a different full registration). All papers included in the proceedings of the conference are submitted to IEEE Xplore and are scheduled for oral presentation at SIBGRAPI 2018. Previous proceedings of SIBGRAPI are available online at IEEE Xplore and also at the SIBGRAPI Digital Library Archive maintained by the Instituto Nacional de Pesquisas Espaciais (INPE, Brazil).

Submission Instructions

All papers for the SIBGRAPI 2018 Main Track must be submitted electronically before 23:59 PDT on Monday, June 18th, 2018. The electronic submission system is accessible at Please be sure to "Select Your Role" as "Author" in the menu above.

Submitted manuscripts must be written in English, should be between six and eight pages, and must be prepared following the SIBGRAPI IEEE formatting guidelines. The electronic manuscript must be submitted in the Portable Document Format (PDF file). The SIBGRAPI 2018 IEEE LaTeX template is available through this link.

Please follow the included instructions and the IEEE formatting guidelines, avoiding any change to the format (in particular avoiding \vspace command, or creating subsections or paragraph title with any command different from \subsection or \paragraph). Please do not change the font size, even if it helps to comply with the page limit! The illustrations of the paper should be generated either truly vectorial or rasterized with at least 300dpi. Manuscripts that deviate from these formatting guidelines are subject to immediate rejection.

Anonymity Requirements

Once the review process of submissions will be double blind, authors must prepare their manuscripts without including any indication of their identities or institutional affiliations. Authors' identities will be tracked only by the submission system, and visible only by the track chairs. The program committee members and referees who review the paper will not know the identity of the authors.

To ensure anonymity of authorship during the review process, authors must prepare their manuscript as follows:

It is the responsibility of authors to do their best to preserve anonymity. Papers that do not follow the guidelines here, or otherwise potentially reveal the identity of the authors, are subject to immediate rejection.

Information for Presenters

All accepted papers are scheduled for oral presentation according to the schedule defined for the conference program.

The oral presentations must fit in 15 minutes, with additional 5 minutes for questions. Please rehearse your presentation to make sure it fits in this time slot in a relaxed pace. A rushed presentation will create more stress for you and will not be compelling. Slides and presentation must be in English. Please arrive in the session room at least 15 minutes before the session begins. Session chairs will help you test your presentation slides using the provided audiovisual equipment.

No-show and No-registration Policy

No-show papers are defined as accepted papers submitted by authors who subsequently did not present the paper in-person (no videos, no remote cast) at the technical meeting. No-registration papers are defined as accepted papers where at least one author did not register with full paid registration rate (Professional SBC member or Professional non member) for the conference, where each paper must be associated with a different full paid registration. No-show and no-registration papers will not be included in the program and will be removed from the proceedings and from the IEEE Xplore.

The SIBGRAPI 2018 Program Chairs

Arun Ross, Michigan State University, USA
Eduardo Gastal, Universidade Federal do Rio Grande do Sul, Brazil
Joaquim Jorge, Instituto Superior Técnico, Portugal
Ricardo de Queiroz, Universidade de Brasília, Brazil


Accepted Papers

Multimodal Human Action Recognition Based on a Fusion of Dynamic Images using CNN descriptors
Edwin Escobedo Cardenas, Guillermo Camara-Chavez

Real-Time Gender Detection in the Wild Using Deep Neural Networks
Luis Zeni, Claudio Jung

Hybrid cloud rendering system for massive CAD models
Andre Moreira, Paulo Ivson, Waldemar Celes

Example-based Skin Wrinkle Displacement Maps
Ron Vanderfeesten, Jacco Bikker

Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers
Mariana Bento, Roberto Souza, Richard Frayne

3D medical objects retrieval approach using SPHARMs descriptor and network flow as similarity measure
Leila Bergamasco, Fatima Nunes, Karla Lima, Carlos Rochitte

Visualization of Roll Call Data for Supporting Analyses of Political Profiles
Rodrigo Moni da Silva, Andre Spritzer, Carla Dal Sasso Freitas

Analysis and Improvements of Fingerprint Enhancement From Gabor Iterative Filtering
Erick Cabral de Lima Borges, Ramon Ramos, Igor Lucena Peixoto Andrezza, João Brasileiro, Leonardo Batista, Herman Gomes

Hidden Surface Removal for Accurate Painting-Area Calculation on CAD Models
Lucas Figueiredo, Paulo Ivson, Waldemar Celes

A Benchmark Methodology for Child Pornography Detection
Joao Macedo, Filipe Costa, Jefersson dos Santos

A Stable Greedy Insertion Treemap Algorithm for Software Evolution Visualization
Eduardo Vernier, João Comba, Alexandru Telea

Deep instance segmentation of teeth in panoramic X-ray images
Gil Jader, Jefferson Silva, Marco Ruiz, Kalyf Abdalla, Matheus Pithon, Luciano Oliveira

Real-time Automatic License Plate Recognition Through Deep Multi-Task Networks
Gabriel R. Gonçalves, Matheus Diniz, Rayson Laroca, David Menotti, William Schwartz

Object-based Temporal Segment Relational Network for Activity Recognition
Victor Hugo de Melo, Jesimon Barreto, Carlos Caetano, Jessica Sena de Souza, Otávio Penatti, William Schwartz

Analysis of the Influence of Color Normalization in the Classification of non-Hodgkin Lymphoma Images
Matheus Ribeiro, Leandro Alves Neves, Guilherme Freire Roberto, Thaína Tosta, Alessandro Martins, Marcelo Zanchetta do Nascimento

Decoupling Expressiveness and Body-Mechanics in Human Motion
Gustavo Boehs, Milton Vieira, Clovis Geyer

Deep Transfer Learning for Segmentation of Anatomical Structures in Chest Radiographs
Hugo Oliveira, Jefersson dos Santos

Restoration of Images Affected by Welding Fume
Edwilson Vaz Junior, Paulo Drews Jr, Cristiano Steffens

A Machine Learning approach for Graph-based Page Segmentation
Ana Maia, Frank Dennis Julca Aguilar, Nina Hirata

Synthesizing Periodic Tilings of Regular Polygons
Asla Medeiros, Luiz Henrique de Figueiredo, José Ezequiel Soto S.

Convolutional Neural Networks for Static and Dynamic Breast Infrared Imaging Classification
Matheus Baffa, Lucas Lattari

Asynchronous stroboscopic structured lighting image processing using low-cost cameras
Frank Borsato, Carlos Morimoto

A Photon Tracing Approach to Solve Inverse Rendering Problems
Ignacio Avas, Eduardo Fernández

Unsupervised Dialogue Act Classification with Optimum-Path Forest
Luiz Ribeiro, Joao Papa

Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks
Cides S. Bezerra, Rayson Laroca, Diego Lúcio, Evair Severo, Lucas Oliveira, Alceu Britto, David Menotti

GuidedNet: Single Image Dehazing Using an End-to-end Convolutional Neural Network
Lucas Gonçalves, Joel Gaya, Paulo Drews Jr, Silvia Botelho

A method for opinion classification in video combining facial expressions and gestures
Airton Junior, Eulanda M. dos Santos

A deep learning-based compatibility score for reconstruction of strip-shredded text documents
Thiago Paixão, Rodrigo Berriel, Maria Boeres, Alberto De Souza, Claudine Badue, Thiago Oliveira-Santos

Semi-Supervised Learning with Interactive Label Propagation guided by Feature Space Projections
Barbara Benato, Alexandru Telea, Alexandre Falcao

An Architecture for Collision Risk Prediction for Visually Impaired People
Natal Cordeiro, Emerson Pedrino

RISF: Recursive Iterative Spanning Forest for superpixel segmentation
Felipe Galvao, Alexandre Falcao, Ananda Chowdhury

On the Learning of Deep Local Features for Robust Face Spoofing Detection
Gustavo Souza, Joao Papa, Aparecido Marana

Extracting Visual Encodings from Map Chart Images with Color-encoded Scalar Values
Angela Mayhua, and Erick Gomez-Nieto, and Jeffrey Heer, Jorge Poco

A Novel Fingerprint Quality Assessment Based on Gabor Filters
Igor Lucena Peixoto Andrezza, João Janduy Brasileiro Primo, Arnaldo Gualberto, Erick Cabral de Lima Borges, Leonardo Batista, Herman Gomes

End-to-end Bone Age Assessment with Residual Learning
Daniel Souza, Manuel Oliveira

360 Stitching from Dual-Fisheye Cameras Based on Feature Cluster Matching
Tancredo Souza, Rafael Roberto, Joao Lima, Veronica Teichrieb, Jonysberg Quintino, Fabio Silva, André Santos, Helder Pinho

Real-Time High-Quality Specular Highlight Removal using Efficient Pixel Clustering
Antonio Souza, Márcio Macedo, Verônica Nascimento, Bruno Oliveira

Patch PlaNet: Landmark Recognition with Patch Classification Using Convolutional Neural Networks
Kelvin Cunha, Lucas Maggi, Joao Lima, Veronica Teichrieb, Jonysberg Quintino, Fabio Silva, André Santos, Helder Pinho

Graph Spectral Filtering for Network Simplification
Markus Dias, Paola Valdivia, Fabiano Petronetto, Luis Nonato

Image-based Visualization of Classifier Decision Boundaries
Francisco Rodrigues, Roberto Hirata, Alexandru Telea

Video Denoising Quality Assessment for Different Noise Distributions
Rafael Arias, Alan Felinto

Deep Feature-based Classifiers for Fruit Fly Identification (Diptera: Tephritidae)
Matheus Macedo Leonardo, Tiago Carvalho, Edmar Rezende, Roberto Zucchi, Fabio Faria

The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
Luiz Zanlorensi, Eduardo Luz, Rayson Laroca, Alceu Britto, Luis Eduardo Oliveira, David Menotti

Active Learning Approaches for Deforested Area Classification
Fernanda Dallaqua, Fabio Faria, Álvaro Fazenda

Scene Conversion for Physically-based Renderers
Luiza Hagemann, Manuel Oliveira

Single-Shot Person Re-Identification Combining Similarity Metrics and Support Vectors
Anderson Sales, Rafael Vareto, William Schwartz, Guillermo Camara-Chavez

Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis
Gabriel Cavallari, Leonardo Ribeiro, Moacir Ponti

Barrett’s Esophagus Identification Using Color Co-occurrence Matrices
Luis Souza, Joao Papa, Christoph Palm

Adaptive patches for mesh denoising
Jan Hurtado, Marcelo Gattass, Alberto Raposo, Jéferson Coêlho

Delaunay Triangulation Data Augmentation guided by Visual Analytics for Deep Learning
Alan Peixinho, Barbara Benato, Luis Nonato, Alexandre Falcao

The shape of the game
Danilo Barbosa Coimbra, Tácito Trindade de Araújo Tiburtino, Alex C Telea, Fernando Vieira Paulovich

Robust feature spaces from pre-trained deep network layers for skin lesion classification
Fernando dos Santos, Moacir Ponti

Bag of attributes for video event retrieval
Leonardo Assuane Duarte, Otávio Penatti, Jurandy Almeida

Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers
Paula Ceccon Ribeiro, Hélio Lopes

Factors influencing the perception of realism in synthetic facial expressions
Rafael Testa, Ariane Lima, Fatima Nunes

Image-based state recognition for disconnect switches in electric power distribution substations
Bogdan Tomoyuki Nassu, Lourival Lippmann Jr., Bruno Marchesi, Amanda Canestraro, Rafael Wagner, Vanderlei Zarnicinski

xHiPP: eXtended Hierarchical Point Placement Strategy
Fábio Dias, Rosane Minghim

A Divide-and-Conquer Clustering Approach based on Optimum-Path Forest
Adán Echemendía, Alexandre Falcao

Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks
Tiago Nazare, Gabriel Paranhos da Costa, Rodrigo Mello, Moacir Ponti