Associate Professor

Federal University of Viçosa
Campus Rio Paranaíba
Brazil

Lattes (in Portuguese)

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My CV [PDF] (in English)

News

[2025-September] Tutorial accepted to SIBGRAPI 2025

• Mari, J.F.; Silva, L.H.F.P.; Escarpinati, M.C.; Backes, A.R.; Getting Started with Semantic Segmentation in PyTorch Using SMP
• SIBGRAPI 2025 - Bahia, Brazil
• Link to the paper on IEEE Xplore.
• Link to the paper at SIBGRAPI Digital Library Archive – SDLA.
• GitHub repository with source code, slides, and instructions.

[2025-August] Paper published in "Remote Sensing Applications: Society and Environment"

• Silva, L.H.F.P.; Mari, J.F.; Escarpinati, M.C.; Backes, A.R.; Cloud removal with compact diffusion models: A residual block-based approach
• Link to the paper

[2025-January] Full papers accepted to VISAPP 2025

• VISAPP 2025 - Porto, Portugal

• Mari, J.F., Moreira, L.F.R., Silva, L.H.F.P.; Escarpinati, M.C.; Backes, A.R. Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation
• Link to the paper.

• Silva, L.H.F.P.; Mari, J.F., Escarpinati, M.C.; Backes, A.R. Evaluating Combinations of Optimizers and Loss Functions for Cloud Removal Using Diffusion Models
• Link to the paper.

[2024-November] Full paper accepted to BRACIS 2024

• BRACIS 2024 - Pará, Brazil
• da Silva, M.V. Mari, J.F.; Backes, A.R.Optimizing CleanUNet Architecture Parameters for Enhancing Speech Denoising
• Link to the paper.

[2024-June] Workshop on Computer Vision 2024 (WVC'2024) was held at UFV - Rio Paranaíba in Novemeber 2024.

• November 6-8, 2024
• WVC'2024 Website
• WVC Instagram profile
• WVC'2024 X profile
• Proceeding published in the RITA journal.
• Proceeding in SBC-OpenLib (SOL)

[2024-February] The material for the Introduction to Digital Image Processing course (2023) is available.

• Slides and Python codes. For the first time bilingual, in Brazilian Portuguese and English.
• SIN 392 - Introduction to digital image processing (2023)

[2024-January] Full paper accepted to VISAPP 2024

• Ferreira, J.R.L.; Silva, L.H.F.P.; Backes, A.R.; Escarpinati, M.C.; Evaluating multiple combinations of models and encoders to segment clouds in satellite images
• VISAPP 2024 - Rome, Italy
• Link to the paper.

[2023-November] Best Paper AWARD! WVC 2023

• Mota, G.S.L.; Silva, L.H.F.P.; Rodrigues Moreira, L.F.; Mari, J.F. Classifying pests in crop images using deep learning
• WVC 2023 - Brazil
• Link to the paper.

[2023-November] Full papers accepted to WVC 2023

• WVC 2023 - Brazil

• Pereira Neto, R.G.; Sousa, P.M.; Rodrigues Moreira, L.F.. Goog God, P.I.V.; Mari, J.F. Enhancing green coffee quality assessment through deep learning
• Link to the paper.

• Mota, G.S.L.; Silva, L.H.F.P.; Rodrigues Moreira, L.F.; Mari, J.F. Classifying pests in crop images using deep learning
• WVC 2023 - Brazil
• Link to the paper.

Education and Background

PhD - Computer Science - 2015

• Federal University of São Carlos, UFSCar - Brazil
• Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing. (Brazilian Portuguese)
• Advisor: Prof. Dr. José Hiroki Saito

MSc - Computer Science - 2007

• Federal University of São Carlos, UFSCar - Brazil
• Reconstruction of 3D Surfaces from Point Clouds using Self-Organizing Neural Networks. (Brazilian Portuguese)
• Advisor: Prof. Dr. José Hiroki Saito

BSc - Computer Science - 2004

• UNIVEM - Brazil

Recent Publications

Journals

• Cloud removal with compact diffusion models: A residual block-based approach.
• Silva, L.H.F.P.; Mari, J. F.; Escarpinati M.C.; Backes, A. R.
• Remote Sensing Applications: Society and Environment, 2025.

• Generating synthetic multispectral images using neural style transfer: A study with application in channel alignment.
• Silva, M.V.; Silva, L.H.F.P.; Dias Junior, J.D.; Escarpinati M.C.; Backes, A. R.; Mari, J. F.
• Computers and Electronics in Agriculture, 2023.

• Automatic identification of charcoal origin based on deep learning.
• Oliveira Neto, R. R.; Rodrigues, L. F.; Mari, J. F.; Naldi, M. C.; Milagres, E. G.; Vital, B. R.; Carneiro, A. C. O.; Binoti, D. H. B.; Lopes P. F.; Leite H. G.
• Maderas. Ciencia y tecnología, 2021.

• Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.
• Rodrigues, L. F.; Naldi M. C., Mari, J. F.
• Computers in Biology and Medicine, 2019.

• Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing.
• Mari J. F.; Saito, J. H.; Neves, A. F.; Lotufo, C. M. C.; Destro-Filho, J. B.; Nicoletti, M. C.
• International Journal of Neural Systems, 2015.

• Simulated activation patterns of biological neurons cultured onto a multi-electrode array based on a modified izhikevich's model.
• Saito J. S.; Mari, J. F.; Pedrino E.; Destro-Filho, J.B.; Nicoletti M. C.
• Fundamenta Informaticae, 2013.

Conferences

• Getting Started with Semantic Segmentation in PyTorch Using SMP
• Mari, J.F.; Silva, L.H.F.P.; Escarpinati, M.C.; Backes, A.R.
• Conference on Graphics, Patterns and Images (SIBGRAPI 2025), Salvador - Bahia - Brazil, 2025
• Link to the paper on IEEE Xplore.
• Link to the paper at SIBGRAPI Digital Library Archive – SDLA.
• GitHub repository with source code, slides, and instructions.

• Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation
• Mari, J.F.; Moreira, L.F.R.; Silva, L.H.F.P.; Escarpinati, M.C.; Backes, A.R.
• 20th International Conference on Computer Vision Theory and Applications (VISAPP 2025), Porto - Portugal, 2025

• Evaluating Combinations of Optimizers and Loss Functions for Cloud Removal Using Diffusion Models
• Silva, L.H.F.P.; Mari, J.F., Escarpinati, M.C.; Backes, A.R.
• 20th International Conference on Computer Vision Theory and Applications (VISAPP 2025), Porto - Portugal, 2025

• Optimizing CleanUNet Architecture Parameters for Enhancing Speech Denoising
• da Silva, M.V. Mari, J.F.; Backes, A.R.
• Brazilian Conference on Intelligent Systems (BRACIS 2024), Belém do Pará - Pará - Brazil, 2024

• Evaluating Multiple Combinations of Models and Encoders to Segment Clouds in Satellite Images.
• Ferreira, J.R.L.; L.H.F.P.; Backes, A.R.; Escarpinati, M.C.; Mari, J.F.
• 19th International Conference on Computer Vision Theory and Applications (VISAPP 2024), Rome - Italy, 2024

• Classifying pests in crop images using deep learning.
• Mota, G.S.L.; Silva, L.H.F.P.; Rodrigues-Moreira, L.R.; Mari, J. F..
• XVIII Workshop de Visão Computacional (WVC). , São Bernardo do Campo - SP, 2023. p. 42-47.

• Enhancing green coffee quality assessment through deep learning.
• Pereira Neto, R.G., de Sousa, P.M.; Rodrigues-Moreira, L.R.; Good-God, P.I.V.; Mari, J. F..
• XVIII Workshop de Visão Computacional (WVC). , São Bernardo do Campo - SP, 2023. p. 84-89.

• Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks.
• Cardoso, V.; Moreira, R.; Mari, J.F., Rodrigues-Moreira, L.F.
• Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC) 2023. Belo Horizonte - MG - Brazil, 2023.

• Evaluation of U-Net backbones for cloud segmentation in satellite images.
• Arakaki, L.G.M.; Silva, L.H.F.P., Silva; M.V.; Melo, B.M.; Backes, A.R.; Escarpinati, M.C.; Mari, J.F.
• 18th International Conference on Computer Vision Theory and Applications (VISAPP 2023), Lisbon - Portugal, 2023

• Non-Linear co-registration in UAVs’ images using deep learning.
• Silva, L.H.F.P.; Dias Junior, J.D.; Mari, J. F.; Escarpinati, M.C.; Backes, A.R.
• 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). , Natal - RN, 2022. p. 1-6.

• A comparative study of convolutional neural networks for classification of pigmented skin lesions.
• Carmo, N. C.; Mari, J. F..
• XVII Workshop de Visão Computacional (WVC). , Online Streaming, 2021. p. 171-176.

• Non-linear Distortion Recognition in UAVs? Images using Deep Learning
• Silva, L.; Dias Jr., J.; Santos, J.; Mari, J. F.; Escarpinati, M.; Backes, A.
• 16th International Conference on Computer Vision Theory and Applications., Online Streaming, 2021. p. 447.

• Optimizing data augmentation policies for convolutional neural networks based on classification of sickle cells.
• Silva, M.; Rodrigues. L.; Mari, J. F.
• XVI Workshop de Visão Computacional (WVC). Uberlândia - MG, 2020. p. 46-51.

• Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images.
• Rodrigues, L; Rodrigues, L.; Silva, D.; Mari, J. F.
• XVI Workshop de Visão Computacional (WVC). Uberlândia - MG, 2020. p. 52-57.

• Segmentation of fish chromosomes in microscopy images: A new dataset.
• Rodrigues, R.; Pasa, R.; Kavalco, K.; Mari, J. F..
• XVI Workshop de Visão Computacional (WVC). Uberlândia - MG, 2020. p. 58-63.

• Classification of UAVs' distorted images using Convolutional Neural Networks.
• Silva, L.; Dias Júnior, J.; Santos, J.; Mari, J. F.; Escarpinati, M.; Backes, A.
• XVI Workshop de Visão Computacional (WVC). Uberlândia - MG, 2020. p. 98-103.

• Maize leaf disease classification using convolutional neural networks and hyperparameter optimization.
• Rocha, E. L.; Rodrigues, L.; Mari, J. F..
• XVI Workshop de Visão Computacional (WVC). Uberlândia - MG, 2020. p. 104-110.

• Cell classification using handcrafted features and bag of visual words.
• Faria, L.C.; Rodrigues, L.F.; Mari, J.F.
• XIV Workshop de Visão Computacional (WVC). Ilhéus - BA, 2018. p. 68-73.

• Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images.
• Rodrigues, L.F.; NALDI, M.C.; Mari, J.F.
• 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). Niterói - RJ, 2017. p. 170.

• Improving the definition of markers for the watershed transform by combining h-maxima transform and convex-hull. (Brazilian Portuguese)
• Gonçalves, W.F.; Rodrigues, R.J.; Mari, J.F.
• XIII Workshop de Visão Computacional (WVC). Natal - RN, 2017. p. 124-129.

• A comparison between two approaches to segment overlapped chromosomes in microscopy images. (Brazilian Portuguese)
• Rodrigues, R.J.; Gonçalves, W.F.; Mari, J.F.
• XIII Workshop de Visão Computacional (WVC). Natal - RN, 2017. p. 118-123.

• HEp-2 Cell Image Classification Based on Convolutional Neural Networks.
• Rodrigues, L.F.; NALDI, M.C.; MARI, J.F.
• XIII Workshop of Computer Vision (WVC). Natal - RN, 2017. p. 13-18.

• Morphological analysis and classification of erythrocytes in microscopy images.
• Rodrigues, L.F.; Naldi, M.C.; Mari, J.F.
• XII Workshop de Visão Computacional (WVC). Campo Grande - MS, 2016. p. 69-74.

• Leukocytes classification in microscopy images for acute lymphoblastic leukemia identification. (Brazilian Portuguese)
• Rodrigues, L.F.; Silva, J.H.; Gondin, P.H.C.C.; Mari, J.F.
• XII Workshop de Visão Computacional (WVC). Campo Grande - MS, 2016. p. 334-338.

Research

• [2022-08-01 - now] Analysis of satellite images with applications in precision agriculture

• [2021-09-01 - now] Development and evaluation of an automated system for analyzing and processing soybean seeds

• [2020-08-01 - now] Pre-processing, correction and registration of agricultural images obtained by unmanned aerial vehicles

• [2017-08 - 2018-07] Application of computational methods for analysis of water stress in plantations through thermal imaging

• [2018-08 - 2022-07] Study of convolutional neural networks for classifying objects in microscopy images

• [2016-08 - 2016-08] HEP-2 Cell Image Classification using convolutional neural networks enhanced by evolutionary algorithms

• [2016-08 - 2018-07] Cell segmentation methods in microscopy images based on the watershed transform

Teaching

Undergratuate

• [2023] SIN 393 - Introduction to computer vision. (Under development...)

• [2023] SIN 392 - Introduction to digital image processing. (English and Brazilian Portuguese)

• [2023] SIN 251 - Computer organization. (Brazilian Portuguese)

• [2022-2] SIN 393 - Introduction to computer vision. (Brazilian Portuguese)

• [2022-1] SIN 392 - Introduction to digital image processing. (Brazilian Portuguese)

• [2021-2] SIN 252 - Computer architecture. (Brazilian Portuguese)

• [2021-2] SIN 251 - Computer organization. (Brazilian Portuguese)

• [2021-1] SIN 131 - Introduction to computer theory. (Brazilian Portuguese)

• [2020-2] SIN 392 - Introduction to digital image processing. (Brazilian Portuguese)

• [2019-2] SIN 393 - Introduction to computer vision. (Brazilian Portuguese)

• [2018-2] SIN 393 - Introduction to computer vision. (Brazilian Portuguese)

Other materials

• An(other) awesome list of resources for deep learning and computer vision
  
• João F. Mari. GitHub repository.
• Link to the GitHub repository.

Awards

• BEST POSTER AWARD:
• Automated Segmentation of the Spinal Column in MRI Volumes Using Deep Learning
• Carvalho, R.S.; Silva, L.H.F.P.; Mari, J.F.
• XX Workshop on Computer Vision (WVC). São Carlos - SP, 2025.

• BEST PAPER AWARD:
• Classifying pests in crop images using deep learning.
• Mota, G.S.L.; Silva, L.H.F.P.; Rodrigues Moreira, L.F.; Mari, J.F.
• XVIII Workshop de Visão Computacional (WVC). S. B. do Campo - SP, 2022.
• Article in the UFV portal. (Brazilian Portuguese)

• BEST PAPER AWARD:
• Cell classification using handcrafted features and bag of visual words.
• Faria, L.C.; Rodrigues, L.F.; Mari, J.F.
• XIV Workshop de Visão Computacional (WVC). Ilhéus - BA, 2018.

• BEST POSTER AWARD:
• Improving the definition of markers for the watershed transform by combining h-maxima transform and convex-hull.
• Gonçalves, W.F.; Rodrigues, R.J.; Mari, J.F.
• XIII Workshop de Visão Computacional (WVC). Natal - RN, 2017.
• Article in the UFV portal. (Brazilian Portuguese)

Contact

“An expert is a person who has made all the mistakes that can be made in a very narrow field.” - Niels Bohr.

Last updated in 2025-12-01

My old website (Brazilian Portuguese)