October 7-8, 2020

Uberlândia

XVI Workshop de Visão Computacional

For certificates: Click here



About the conference

This will be the 16th edition of the WVC, that was created with the goal of integrating Brazilian researchers working in the area of computer vision, while also encouraging students to get to know the area better. The 2020 meeting, initially scheduled for October 7 to 8, will be organized by the Digital Image Processing group from the Faculty of Computing of Federal University of Uberlândia - UFU, Minas Gerais, Brazil.
Due to the current situation, forced upon us by the COVID-19 crisis, the event has been organized to proceed in a virtual manner.

Topics of interest include, but are note limited to:
  • Images and Video Coding
  • Image/video analysis
  • Image/video filtering and restoration
  • Image/video registration
  • Image/video segmentation
  • Motion Detection and Tracking
  • Shape representation and matching
  • Surface Reconstruction and Representation
  • Projective Geometry and Computer Vision
  • Texture and Color in Computer Vision
  • Feature extraction
  • Feature Matching, Inference and Recognition
  • Cognitive models applied to Computer Vision Systems
  • Architectural models for Computer Vision
  • Design methods for systems of Vision
  • Case studies and Computer Vision systems analysis
  • Real-time Computer Vision
  • Facial and Hand Gesture Recognition
  • Biomedical imaging and visualization
  • Biometrics
  • Visual Inspection and Robotics
  • Visual Document processing and analysis
  • Content-based image retrieval (CBIR)

Important Dates


  • Submission Website Open: April, 27
  • Paper Submission Deadline: July, 12
  • Paper Submission Deadline: July, 26
  • Paper Submission Deadline: August, 02
  • Notification of Acceptance: September, 01
  • Camera Ready: September, 13
  • Registration Deadline for Authors: October, 07
  • Venue: October, 07 to 08

Submission


Author Guidelines
  • The manuscripts accepted after the reviewing process will be allocated in the WVC 2020 Proceedings.
Submission Instructions
  • The manuscript must be submitted electronically, as a PDF file.
  • The conference accepts articles written in English or Portuguese, but the manuscript title and abstract must be written in English.
  • The abstract should containing no more than 2000 characters, and the manuscript total length should not exceed 6 pages.
  • The manuscripts should be formatted using the IEEE templates, which are blind-submission review-formatted templates. (Link for the templates)
  • This year the management of the conference submissions will be held by the CMT - Conference Management Toolkit, sponsored by Microsoft Research.

    SUBMISSION WEBSITE: https://cmt3.research.microsoft.com/WVC2020


Committes


Steering committee
  • Prof. Mauricio Cunha Escarpinati, PhD. (Coordinator) - Federal University of Uberlândia
  • Prof. Aparecido Nilceu Marana, PhD. - São Paulo State University
  • Prof. Hemerson Pistori, PhD. - Dom Bosco Catholic University
  • Prof. Mauricio Marengoni, PhD. - Mackenzie Presbyterian University
  • Prof. Paulo Sérgio Rodrigues, PhD. - FEI University
Organization Committee
  • Prof. Mauricio Cunha Escarpinati, PhD. - Federal University of Uberlândia
  • Prof. André Ricardo Backes, PhD. - Federal University of Uberlândia
  • Prof. Bruno Augusto Nassif Travençolo, PhD. - Federal University of Uberlândia
  • Prof. Ana Claudia Martinez, PhD. - Federal University of Uberlândia
  • Prof. Thiago Pirola Ribeiro, PhD. - Federal University of Uberlândia
  • Prof. João Fernando Mari, PhD. - Federal University of Viçosa
  • Jocival Dantas Dias Jr., MsC. - Federal University of Uberlândia
  • Leandro Henrique Furtado Pinto Silva, BCA. - Federal University of Uberlândia

Proceedings


Full proceedings: click here
Individual papers: SBC Open Lib

Program


For guidelines and more information on the dynamics of the presentations: click here.

Start

End

10/07/20 - Wed

10/08/20 - Thu

09:00 am

09:30 am

Opening Session

Session 3

09:30 am

10:00 am

Keynote 1

10:00 am

10:30 am

Break

10:30 am

11:00 am

Break

Keynote 3

11:00 am

11:30 am

Session 1

11:30 am

12:00 pm

Lunch

12:00 pm

12:30 pm

Lunch

12:30 pm

1:00 pm

1:00 pm

1:30 pm

1:30 pm

2:00 pm

2:00 pm

2:30 pm

Keynote 2

Session 4

2:30 pm

3:00 pm

3:00 pm

3:30 pm

Break

3:30 pm

4:00 pm

Session 2

Break

4:00 pm

4:30 pm

Session 5

4:30 pm

5:00 pm

5:00 pm

5:30 pm

5:30 pm

6:00 pm

-

Closing Session


For access opening session: click here.
For access keynote 1: click here.
For access keynote 2: click here.
For access keynote 3: click here.
For access closing session: click here.

Keynote

Title

Speaker

Keynote 1

Visão Computacional: de David Marr a Deep Learning, um histórico sobre o Workshop de Visão Computacional (WVC)

Prof. Adilson Gonzaga – EESC-USP

Keynote 2

Emprego da Visão Computacional na Agricultura de Precisão

Sensix Inovações em Drones

Keynote 3

Segmentação 3D da mandíbula e maxila em Tomografia Computadorizada de Feixe Cônico

Prof. João Do Espirito Santo Batista Neto - ICMC-USP


Chair: Prof. Mauricio Marengoni, PhD. - Mackenzie Presbyterian University
For access session 1: click here.

Session

Paper

Authors

Session 1

Rain Gutter Detection in Aerial Images for Aedes Eegypti Mosquito Prevention

Lucas Rossi, André R. Backes and Jefferson Souza

Session 1

Impacts of Color Space Transformations on Dysplastic Nuclei Segmentation Using CNN

Dali F. D. dos Santos, Adriano B. Silva, Paulo Rogério de Faria, Bruno A. N. Travençolo and Marcelo Zanchetta do Nascimento

Session 1

Recognition of Soybean Diseases Using Machine Learning Techniques Based on Segmentation of Images Captured by UAVs

Gercina Gonçalves da Silva, Vanessa Ap. de Moraes Weber, Alessandro Ferreira, Denilson Guilherme, José Fernando Jurca Grigolli and Hemerson Pistori

Session 1

Unsupervised Segmentation of Breast Infrared Images in Lateral View Using Histogram of Oriented Gradients

Thays Lacerda, Fabíola Freitas, Matheus F. O. Baffa and Lucas Lattari


Chair: Prof. João Fernando Mari, PhD. - Federal University of Viçosa
For access session 2: click here.

Session

Paper

Authors

Session 2

Fundus Eye Images Classification for Diabetic Retinopathy Detection Using Very Deep Convolutional Neural Network

Ítalo Rodrigues Gama, Martins Coelho and Matheus F. O. Baffa

Session 2

Fully-Connected Neural Network for COVID-19 Chest X-Ray Imaging Classification Using Hybrid Features

Victor Hugo Viveiros, Rayanne Bertolace Lima, Alessandra Martins Coelho and Matheus F. O. Baffa

Session 2

Automatic Detection of Lupus Butterfly Malar Rash Based on Transfer Learning

Jhonatan Souza, Tiago M. Oliveira, Claudemir Casa and André R. Ortoncelli

Session 2

Automatic Detection of COVID-19 in X-Ray Images Using Fully-Connected Neural Networks

Elisson Carlos de Carvalho, Raian Campos Malta, Alessandra Martins and Matheus F. O. Baffa

Session 2

Optimizing Data Augmentation Policies for Convolutional Neural Networks Based Classification of Sickle Cells

Matheus Silva, Larissa Rodrigues and João F. Mari

Session 2

Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images

Leonardo Rodrigues, Larissa Rodrigues, Danilo Silva and João F Mari

Session 2

Segmentation of fish chromosomes in microscopy images: A new dataset

Rodrigo Jr. Rodrigues, Rubens Pasa, Karine Frehner Kavalco and Joao F. Mari


Chair: Profa. Ana Cláudia Martinez, PhD. - Federal University of Uberlândia
For access session 3: click here.

Session

Paper

Authors

Session 3

Domain Adaptation for Robust Face Recognition Using Transfer Kernel Learning

João Renato Ribeiro Manesco and Aparecido N. Marana

Session 3

A New Method for Gait Recognition Using 2D Poses

Daniel Ricardo S. Jangua and Aparecido N. Marana

Session 3

Using CNNs for Quality Assessment of No-Reference and Full-Reference Compressed-Video Frames

Renato Silva, Luiz Brito, Marcelo Albertini, Marcelo do Nascimento and André R. Backes

Session 3

A Thorough Evaluation of Kernel Order in CNN Based Traffic Signs Recognition

Lucas Armand Souza Assis de Oliveira, Guilherme L. Abelha Mota and Vitor da Silva Vidal


Chair: Prof. Marcelo Zanchetta do Nascimento, PhD. - Federal University of Uberlândia
For access session 4: click here.

Session

Paper

Authors

Session 4

Neonatal Pain Assessment From Facial Expression Using Deep Neural Networks

Lucas F. Buzuti, Carlos E. Thomaz, Tatiany Marcondes Heiderich and Marina Carvalho de Moraes Barros

Session 4

RUMICAM: A New Device for Cattle Rumination Analysis

Gilberto L. Oliveira, Milena S. Carmona, Julia G. B. Pistori, Patricia M. Oliveira, Rodrigo G. Mateus, Geazy Menezes, Vanessa Ap. de Moraes Weber, Cleonice A. Le Bourlegat and Hemerson Pistori

Session 4

Classification of UAVs' distorted images using Convolutional Neural Networks

Leandro Silva, Jocival Dantas Dias Jr., Jean Santos, João F. Mari, Mauricio C. Escarpinati and André R Backes

Session 4

Maize leaf disease classification using convolutional neural networks and hyperparameter optimization

Erik Rocha, Larissa Rodrigues and João F. Mari

Session 4

MS-DIAL: Multi-Source Domain Alignment Layers for Unsupervised Domain Adaptation

Lucas Fernando Alvarenga e Silva and Jurandy Almeida

Session 4

Water Tanks and Swimming Pools Detection in Satellite Images: Exploiting Shallow and Deep-Based

Eduardo A. M. Fernandes, Pedro Wildemberg and Jefersson A. dos Santos


Chair: Prof. Paulo Sérgio Rodrigues, PhD. - FEI University
For access session 5: click here.

Session

Paper

Authors

Session 5

Braille Character Detection Using Deep Neural Networks for an Educational Robot for Visually Impaired People

Diego L. N. Gonçalves, Gabriel Santos, Márcia Campos, Alexandre Amory and Isabel Harb Manssour

Session 5

Viable Yeast Identification Using Bag of Visual Words in Colored Images

Junior S. Souza, Vanessa Ap. de Moraes Weber, Ariadne Gonçalves, Marco Alvarez, Marney P. Cereda, Wesley Gonçalves, Valguima V. V. A. Odakura and Hemerson Pistori

Session 5

Analysis of Futsal Matches Using a Single-Camera Computer Vision System

Heloiza Paulichen, Kallil M. Zielinski, Dalcimar Casanova and Pablo Cavalcanti

Session 5

Analysis of Color Feature Extraction Techniques for Fish Species Identification

Uéliton Freitas, Marcio Carneiro Brito, Wesley Gonçalves, Edson Matsubara, José Sabino, Diego A. Sant'Ana and Hemerson Pistori

Session 5

Improving the Network Traffic Classification Using the Packet Vision Approach

Rodrigo Moreira, Larissa Rodrigues, Pedro Rosa and Flavio Oliveira Silva


Contact Us

  • E-mail: facom.wvc2020@gmail.com