September 09-11 2019
Centro Universitário FEI - Campus SBC
São Bernardo do Campo - SP - Brazil
About this event
The rapid technological development of hardware, especially professional cameras and smartphones has driven the demand for solutions to our day-to-day entertainment, security, industrial production and medicine. Consequently, the area of Computer Vision has grown, becoming a strategic demand in any country.
Under this context the WVC’2019 - XV Workshop on Computational Vision - brings to the discussion works developed in Universities and Centers of Research worldwide, aiming to boost research groups in this área in the generation of ideas and in the divulgation of work done or in progress. We hope, therefore, that the effort of each one of us in the organization of this event, is a demonstration that science and technology have a promising future in our country. The WVC'2019 will host several activities aimed primarily at disseminating and analyzing the growth of the area of computer vision worldwide. Test
About this event
The 2nd Contest of Thesis and Dissertations in Computer Vision (Concurso de Teses e Dissertações em Visão Computacional - CTDVC 2019) aims to disseminate postgraduate research in the fields of Computer Vision and Image Processing awarding the best doctoral theses and master's dissertations completed, defended and approved in Brazil in the last year.
The theses and dissertations will be selected for publication and presentation based on their impact for society and for companies, as well as a significant and outstanding contribution to the scientific area.
Awards
Up to six papers corresponding to the three best doctoral theses and the three best master's dissertations will be awarded. These works must necessarily be presented by the author at the XV Workshop de Visão Computacional (WVC 2019), in a special session.
Participants
Doctors and masters in any knowledge area can submit papers for this contest, as long as their research have been developed with Computer Vision and Image Processing. Their theses or dissertations must have been defended in Brazil, from January 1st, 2018 to June 30st, 2019*.
*Only theses or dissertations that have not been submitted for WVC 2018.
Publication
The abstract of all the works selected for the contest will be published in the proceedings of the event.
Submission of works
Candidates must submit their work electronically at: link for the submition, choosing the track corresponding to the work (Master's or Doctorate).
A file with the full text of the thesis or dissertation, in pdf format, should be sent.
For the works selected in the first stage, a copy of the certificate of completion and approval of the thesis / dissertation, issued by the Coordination of the Course, will be requested, stating the name of the postgraduate program, the date of the defense, the name(s) of the advisor(s), the members of the examination board, the name of the candidate and the title of the thesis / dissertation.
Selection
The selection will be based on the evaluation of the entire thesis / dissertation. The theses and dissertations submitted to the CTDVC 2019 will be evaluated by a committee composed of researchers with recognized experience in the area of Computational Vision and experience in orientation of theses and dissertations.
The Committee of Reviewers will be chosen after the date of submission of the works, so there will be no teachers with submitted works in the Committee.
Registration at the event
The authors of the selected works must be enrolled in the event, and the enrollment may be made in the graduate student category.
Topics of interest include (but are not limited to):
If you have any question and need further information, please feel free to contact us on the workshop email: wvc2019@fei.edu.br
Instructions for authors
Submission
All papers must be submitted electronically using the following link: ( link for submission ).
Policies
Professor do Centro Universitário FEI
Professor do Centro Universitário FEI
LNCC (Laboratório Nacional de Computação Ciêntífica)
Universidade do Porto, Portugal
Professor do Centro Universitário FEI
Professor do Centro Universitário FEI
Professor do Centro Universitário FEI
Professor do Centro Universitário FEI
Professor da Universidade Federal de Uberlândia (UFU)
Professor da Universidade Estadual Paulista (UNESP)
Professor da Universidade Federal do Rio Grande do Norte (UFRN)
Professor da Universidade de São Paulo (USP)
Professor da Universidade Católica Don Bosco (UCDB)
Professor da Universidade de São Paulo (USP)
Professor da Universidade Presbiteriana Mackenzie
Department of Pediatrics, UNIFESP
Graduada em Medicina, mestrado em Pediatria e Ciências Aplicadas à Pediatria, doutorado em Pediatria e Ciências Aplicadas à Pediatria e Livre-Docência em Pediatria. É orientadora do programa de Pediatria e Ciências Aplicadas à Pediatria da Universidade Federal de São Paulo. Obteve o Título de Especialista em Pediatria e o de Habilitação na área de Neonatologia. É professora Titular da Disciplina de Pediatria Neonatal do Departamento de Pediatria da Universidade Federal de São Paulo. Exerce a coordenação geral da UTI Neonatal do Hospital São Paulo e a chefia da Disciplina de Pediatria Neonatal. É coordenadora do Programa de Reanimação Neonatal da Sociedade Brasileira de Pediatria. Editora Chefe da Revista Paulista de Pediatria, periódico científico da Sociedade de Pediatria de São Paulo, indexado à Medline em 2013 e à PubMed em 2014. É coordenadora da Rede Brasileira de Pesquisas Neonatais. É membro da Força Tarefa Neonatal do International Liaison Committee on Neonatal Resuscitation desde 2005.
Abstract: Newborn infants are exposed to painful experiences that might increase their short and long-term morbidity and mortality, in addition to being associated with neurological developmental disorders. Improvements in this scenario require practical and efficacious methods of pain assessment, safer drugs, organisation of services allowing for the detection of flaws in the care provided, and continuous updating and sensitisation of neonatal care providers. Routine bedside assessment of pain in critically ill neonates is considered crucial for the proper management of pain, but inappropriate assessment of neonatal pain is an integral component of the under-treatment of pain in neonatal care units. Humans might perhaps be inherently flawed in the assessment of pain in others, and if that were indeed the case, then human-mediated pain assessment should be replaced by technology. The situation just depicted defines the context of the conference, which will discuss the possibility of replacing the human with a computer eye in the recognition of the facial expressions of pain in newborn infants.
Associate Professor with Habilitation, Faculdade de Engenharia da Universidade do Porto (FEUP)
Engenheiro Eletrotécnico e de Computadores, Mestre em Engenharia Matemática e Ph.D. em Visão Computacional, na Universidade do Porto, Portugal. Atualmente é Professor Associado com Habilitação na Faculdade de Engenharia da Universidade do Porto (FEUP), onde leciona Aprendizagem Automática e Visão Computacional em Programas de Doutoramento e múltiplos cursos de pós-graduação. É também o Coordenador do Centro de Telecomunicações e Multimídia do INESC TEC, e membro sênior do IEEE e cofundador da Cluster Media Labs - empresa de TI que desenvolve soluções automáticas para análise audiovisual semântica. Suas linhas de pesquisa podem ser resumidas em três tópicos principais: visão computacional, aprendizado de máquina e sistemas de apoio à decisão.
Abstract: Recent rapid progress in machine learning (ML), particularly so called 'deep learning' is leading to the fast and widespread adoption in people's daily lives. However, most of these ML systems, particularly ensemble and deep learning models, remain complex black boxes, which means that their internal logic and inner workings are hidden to the user, making it challenging to understand the rationale behind their predictions. New regulations, as well as highly regulated domains, have made the audit and verifiability of decisions mandatory, leading to a resurgence in interest in explainability of artificial intelligence (AI) systems, reviving an area of research dating back to the 1970s. In this talk, we give a brief overview of interpretable machine learning. After discussing the basic concepts, methodologies and metrics, we will review some of the key contributions in the field. Since the topic of interpretable machine learning is currently evolving very quickly, we will finalise by discussing the most promising research directions.
Universidade Federal de Minas Gerais
O Prof. Mário Fernando Campos é um dos nomes de maior destaque no Brasil em Visão Computacional e Robótica, sendo fundador e líder do VerLab (Vision Computer Laboratory). É graduado em Engenharia Civil pela Universidade Federal de Minas Gerais (UFMG) (1980), Mestrado em Ciência da Computação pela Universidade Federal de Minas Gerais (1984) e Doutor em Computer and Information Sciences - University of Pennsylvania (1992), na área de Robótica e Visão Computacional. É professor titular da Universidade Federal de Minas Gerais, onde foi coordenador do Programa de Pós-Graduação em Ciência da Computação (2007-2009), chefe do Departamento de Ciência da Computação (2013-2015), Pró-Reitor de Administração (2015-2018), Pró-Reitor de Pesquisa (2018-), membro do Conselho de Ensino, Pesquisa e Extensão (2009-2011; 2011-2013; 2018- ), membro do Conselho Curador da Fundação Mendes Pimentel (2008-2015), Representante Institucional DAI ? RID (2018- ). Foi coordenador executivo da Rede Internet Minas, a primeira rede acadêmica do Estado (1995-2001). Foi eleito Distinguished Lecturer da IEEE Robotics and Automation Society (2008) e da Comissão de Robótica da SBC (2013-). Suas áreas de atuação são Robótica e Visão Computacional.
The registration system can be accessed in the following link: ( REGISTRATION ). Authors can register to the event following the instruction on the Registration Website. Information about payments via "Nota de Empenho" is available at the bottom of the Registration Website.
| Categories | Until August 30th (R$) | From August 31th until September 06nd (R$) |
|---|---|---|
| Professional | 300 | 420 |
| SBC Professional Member | 240 | 330 |
| Grad. Student | 170 | 270 |
| SBC Grad. Student Member | 140 | 230 |
| Undergrad Student | 45 | 65 |
| SBC - Undergrad. Student Member | 30 | 55 |
| Time/date | Monday, September. 09 | Tuesday, September. 10 | Wednesday, September. 11 |
|---|---|---|---|
| 8:00 - 9:00 | Checkin and on-site registration | ||
| 9:00 - 10:00 | Opening Cerimony | ATOS/Wikitude | Oral Section 3 |
| 10:00 - 10:30 | Coffee Break | ||
| 10:30 - 12:00 | Keynote Speaker 1 | Keynote Speaker 2 | Keynote Speaker 3 |
| 12:00 - 14:00 | Lunch | ||
| 14:00 - 15:30 | Oral Session 1 | Oral Session 2 | Oral Session 4 |
| 15:30 - 16:00 | Coffee Break | ||
| 16:00 - 17:30 | CTDVC | Poster Session | Oral Section 5 |
| 17:30 - 18:30 | Conference Meeting | Closing Cerimony | |
| 18:30 - 23:00 | Conference Dinner | ||
| Speakers | |
|---|---|
| Keynote Speaker 1 | Ruth Guinsburg |
| Keynote Speaker 2 | Jaime S. Cardoso |
| Keynote Speaker 3 | Mário F. Campos |
| CTDVC (Concurso de Teses e Dissertações em Visão Computacional) (September 09th, 16:00 - 18:00) | |
|---|---|
| Title | Authors |
| Underwater scene matching with acoustic images using deep learning | Pedro O. C. S. Ribeiro and Paulo L. J. Drews |
| Active and descriptor learning techniques for image classification and retrieval | Rafael S. Bressan, Pedro H. Bugatti and Priscila T. M. Saito |
| Movimentos oculares e percepção facial humana: Análises holística, configural e por características locais de imagens frontais de faces | Victor P. L. Varela and Carlos E. Thomaz |
| Texture analysis using fractal descriptors estimated by the mutual interference of groups of colored pixels | Andre Marasca, Dalcimar Casanova and Marcelo Teixeira |
| Multi-class discriminant analysis based on support vector machine ensembles | Tiene Filisbino and Gilson A. Giraldi |
| An efficient hierarchical layered graph approach for multi-region segmentation | Leissi M. C. Leon and Paulo A. V. Miranda |
| Adaptive face tracking based on online learning | Aasim Khurshid and Jacob Scharcanski |
| Matching people in surveillance cameras network | Raphael Prates and William R. Schwartz |
| Oral Session 1 - Image/Face Processing and Biometrics (September 09th, 14:00 - 15:30) | |
|---|---|
| Title | Authors |
| Variational Method Integrating Edge Detection and Smoothing in Digital Images | Italo M. F. Santos, Abimael D. Loula, Gastão F. Miranda-Junior, Paulo S. S. Rodrigues and Gilson A. Giraldi |
| Evaluation of Fine Tuning and Feature Extraction Methods in Biometric Periocular Recognition | William Barcellos, Nicolas H. Shitara, Carolina T. Ferraz, Raissa T. V. Queiroga, Jose H. Saito and Adilson Gonzaga |
| Facial Makeup Detection using the CMYK Color Model and Convolutional Neural Networks | Marcello G. Bertacchi and Ismar F. Silveira |
| Person Authentication based on the Difference of Deep Features Extracted from the Ocular and Face Regions | Marcelo V. Vizoni and Aparecido N. Marana |
| Atlas of Neonatal Face Images using Triangular Meshes | Pedro A. S. S. Orona, Davi A. D. Fabbro, Tatiany M. Heiderich, Marina C. M. Barros, Rita C. X. Balda, Ruth Guinsburg and Carlos E. Thomaz |
| Alignment, Scale and Skew Correction for Optical Mark Recognition Documents Based | Erik M. Elias, Paulo M. Tasinaffo and Roberto Hirata-Junior |
| Oral Session 2 - Visual Object Detection/Classification and Robotics (September 10th, 14:00 - 15:30) | |
|---|---|
| Title | Authors |
| Citrus Tree Classification from UAV Images: Analysis and Experimental Results | Felipe K. Kobayashi, Andrea B. Mattos, Maysa M. G. Macedo and Bruno H. Gemignani |
| Using Syntactic Methods and LSTM to the Recognition of Objects Visual Patterns | Gilberto Astolfi, Vanessa A. M. Weber, Adair S. Oliveira-Junior, Geazy V. Menezes, Nicolas A. S. Belete, Everton C. Tetila and Hemerson Pistori |
| A Tool for Bridge Detection in Major Infrastructure Works using Satellite Images | Keiller Nogueira, Caio Cesar, Pedro H. T. Gama, Gabriel L. S. Machado, Jefersson A. Santos |
| A Bio-Inspired Strategy for 3D Surface Reconstruction of Unstructured Scenes Applied to Medical Imagens | Murilo Bouzon, Guilherme Albertini, Gustavo Viana, Gabriel Medeiros and Paulo S. S. Rodrigues |
| Multi-Camera System Analysis for Autonomous Navigation using End-to-End Deep Learning | José A. D. Amado, Jean Amaro, Iago P. Gomes, Denis Wolf and Fernando S. Osório |
| Development of a Robotic Sensing System to Assist Visually Impaired People in their Task of Locomotion in Urban Environments | Diego R. Bruno, Marcelo H. Assis and Fernando S. Osório |
| Oral Session 3 - Deep Learning in Computer Vision Applications (September 11th, 09:00 - 10:00) | |
|---|---|
| Title | Authors |
| A Comparison Study of Deep Convolutional Neural Networks for the Classification of Brazilian Savannah Pollen Grains: Preliminary Results | Bruno Aristimunha, Felipe S. B. Borges, Ariadne B. Gonçalves and Hemerson Pistori |
| Understanding Fully-Connected and Convolutional Layers in Unsupervised Learning using Face Imagens | Lucas F. Buzuti and Carlos E. Thomaz |
| Real-time Ball Detection for Robocup Soccer using Convolutional Neural Networks | Lucas R. Abreu and Reinaldo A. C. Bianchi |
| Automation of Waste Sorting with Deep Learning | João Sousa, Ana Rebelo and Jaime S. Cardoso |
| Oral Session 4 - Deep Learning and Image/Video Analysis (September 11th, 14:00 - 15:30) | |
|---|---|
| Title | Authors |
| Coffee Leaf Rust Detection Using Convolutional Neural Network | Alexandre P. Marcos, Natan L. S. Rodovalho and André R. Backes |
| Regression in Convolutional Neural Networks applied to Plant Leaf Counting | Neemias B. Silva and Wesley N. Gonçalves |
| Pulmonary Nodule Classification with 3D Convolutional Neural Networks | Anthony E. A. Jatobá, Lucas L. Lima and Marcelo C. Oliveira |
| Generative Adversarial Networks: A Renewal for Data Augmentation in Lung Nodule Classification | Bruno H. L. dos Anjos, Anthony E. A. Jatobá and Marcelo C. Oliveira |
| Application of Superpixel to Identify Maggots and their Larval Stages | Lucas R. Lima, Eudamara B. S. Acosta, Ariadne B. Gonçalves, Marcio C. B. Pache, Diego A. Sant’ana, Celso S. Costa, Hemerson Pistori, Alessandro S. Ferreira and Carina Elisei |
| Traffic Flow Classification using a Video Descriptor and a Convolutional Neural Network | Matheus V. L. Ribeiro and Jorge L. A. Samatelo |
| Oral Session 5 - Cognitive and Intelligent Models Applied to Computer Vision Systems (September 11th, 16:00 - 17:00) | |
|---|---|
| Title | Authors |
| A Multivariate Correlation Assessment of Chess Proficiency using Brain Signals | Laércio Silva-Junior and Carlos E. Thomaz |
| Coffee Leaf Rust Detection using Genetic Algorithm | Alexandre P. Marcos, Natan L. S. Rodovalho and André R. Backes |
| Optimum-Path Forest in the Classification of Defects in Bovine Leather | Willian P. Amorim, Felipe S. B. Borges, Marcio C. B. Pache, Marcelo H. Carvalho and Hemerson Pistori |
| Poster Session Papers (September 10th, 16:00 - 17:30) | |
|---|---|
| Title | Authors |
| Automatic Detection of Erythrocytes in Fishes using Clustering Segmentation and Supervised Learning | Kleyton Leite, Felipe Silva, Bruno Crispim, Felipe Merey, Alexeia Barufatti and Willian Amorim |
| Retinal Image Multimodal and Multitemporal Registration for a Multispot Laser Photocoagulation Device | Patricia Otoni and Evandro Rodrigues |
| A New Approach for Image Classification Applying Reduction of Colored Keypoints | Marcelo Borth, Hemerson Pistori, Wesley Gonçalves, Diego Sant'Ana, Marcio Pache and Celso Costa |
| Visual Perception of Pain in Neonatal Face Images | Lucas Carlini, Tatiany Heiderich, Marina Barros, Rita Balda, Ruth Guinsburg and Carlos Thomaz |
| Alternative Signatures based on Randomized Neural Network for Texture Classification | Macário Leitão-Júnior and Jarbas Sá-Junior |
| Automatic Ocular Alignment Evaluation for Strabismus Detection Using Index of Phylogenetic Diversity and Support Vector Machine | Thayane Simões, Johnatan Carvalho, João Almeida, Aristófanes Silva and Anselmo Paiva |
| Determination of number of termite mounds supported by computational vision | Vanessa Weber, Fabricio Weber, Edilson Silveira, Gilberto Oliveira, Marcelo Folhes, Michel Oliveira and Hemerson Pistori |
| Automatic Localization of the Carotid Wall in Ultrasound Imaging Based on Convolutional Neural Network | Eryk Cruz and Alexandre Silva |
| Tracking and Re-identification of People Using Soft-Biometrics | Henrique Tavares, João Neto and Aparecido Marana |
| Image Stitching Using Non-Extensive Statistics | Everton Acchetta, Helmuth Filho, Lucas Laheras, Vinicius Santos, Paulo Rodrigues and Guilherme Wachs |
| Use of Deep Learning for Firearms Detection in Images | Guilherme Cardoso, Patrick Ciarelli and Raquel Vassallo |
| A Bio-Inspired Methodology for Digital Imaging Forensic Detection | Giovanni Oliveira, Guilherme Santos, Fernando Prado, Rafael Serikaku, Ricardo Santos, Guilherme Wachs and Paulo Rodrigues |
| Image-based automatic counting of spotted fever-carrying tick larvae in vitro | Weslley Figueredo, Isabella Sousa, João Diniz, Aristófanes Silva, Anselmo Paiva and Livio Costa- Junior |
| Classification of weed in soybean crops using unmanned aerial vehicle images | Nícolas Belete, Everton Tetila, Gilberto Astolfi and Hemerson Pistori |
| Classification of brain lesions on magnetic resonance imaging using superpixel, PSO and convolutional neural network | Carolina Cipriano, Giovanni Silva, Jonisson Ferreira, Aristófanes Silva and Anselmo Paiva |
| Visual Patterns in Reading Tasks: An Eye-Tracking Analysis of Meares-Irlen Syndrome Simulation Effects | Rafael Orsi, Joao Romera, Rodrigo Filev and Carlos Thomaz |
In 2019, WVC will take place at the Fundação Educacional Inaciana Pe. Saboia de Medeiros (FEI), São Bernardo do Campo, São Paulo, Brazil.
