Dr Jefersson Alex dos Santos

Department of Computer Science

Lecturer in Computer Vision

j.santos@sheffield.ac.uk

Regent Court (DCS)

Full contact details

Dr Jefersson Alex dos Santos
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP

Profile: Jefersson A. dos Santos is currently an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield, United Kingdom. He used to hold a position as Associate Professor at the Universidade Federal de Minas Gerais, Brazil (2013 - 2022). Jefersson got a Ph.D in Computer Science at the University of Campinas (Unicamp), Brazil, and at the University of Cergy-Pontoise, France, in 2013. He earned a Master's Degree in Computer Science from Unicamp in 2009 and a Bachelor Degree in Computer Science from University of Mato Grosso do Sul (UEMS), Brazil, in 2006. Jefersson is an IEEE Senior Member. He is currently an Associate Editor for the IEEE Geoscience and Remote Sensing Letters and Co-Chair for the ISPRS Working Group for AI/ML for Geospatial Data. Jefersson also serves as a PC member for several refereed journals and conferences and is currently the vice president of the IEEE GRSS Brazilian Chapter. Jefersson held the prestigious CNPq Productivity Research Scholarship (2016 - 2022). In 2021, he was awarded a competitive research grant from the Serrapilheira Institute, Brazil. His research interests include remote sensing image processing, computer vision and machine learning. Jefersson is the founder of the Laboratory of Pattern Recognition and Earth Observation (PATREO) at the Department of Computer Science, UFMG, Brazil.

Research interests: My current research interests include machine learning, computer vision, image processing, and remote sensing. Besides always aiming at excellence and impacting outcomes in Computer Science, I am especially interested in inter-, cross-, multidisciplinary research.

Publications

Journal articles

dos Santos JA, Apolinário AL, Miranda F & Distante C (2023) Foreword to Special Section on SIBGRAPI 2022. Pattern Recognition Letters, 175, 81-82.
Carvalho T, Martinez JAC, Oliveira H, Santos JAD & Feitosa RQ (2023) Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences. IEEE Geoscience and Remote Sensing Letters, 20, 1-5.
Apolinário AL, dos Santos JA, Miranda F & Distante C (2023) Foreword to special section on SIBGRAPI 2022. Computers & Graphics, 114, A4-A6.
Machado G, Pereira MB, Nogueira K & Santos JAD (2023) Facing the Void: Overcoming Missing Data in Multi-View Imagery. IEEE Access, 11, 12547-12554.
Barros P, Queiroz F, Figueiredo F, Santos JAD & Ramos H (2023) A New Similarity Space Tailored for Supervised Deep Metric Learning. ACM Transactions on Intelligent Systems and Technology, 14(1), 1-25.
Gama PHT, Oliveira H, Junior JM & Santos JAD (2023) Weakly Supervised Few-Shot Segmentation via Meta-Learning. IEEE Transactions on Multimedia, 25, 1784-1797.
Oliveira H, Silva C, Machado GLS, Nogueira K & dos Santos JA (2023) Fully convolutional open set segmentation. Machine Learning, 112(5), 1733-1784.
Monteiro BAA, Oliveira H & Santos JAD (2022) Self-Supervised Learning for Seismic Image Segmentation From Few-Labeled Samples. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
Chamorro Martinez JA, Oliveira H, Santos JAD & Feitosa RQ (2022) Open Set Semantic Segmentation for Multitemporal Crop Recognition. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
Nogueira K, Chanussot J, Mura MD & Santos JAD (2021) An Introduction to Deep Morphological Networks. IEEE Access, 9, 114308-114324.
Pereira EM, Torres RDS & dos Santos JA (2021) A genetic algorithm approach for image representation learning through color quantization. Multimedia Tools and Applications, 80(10), 15315-15350.
Osco LP, Nogueira K, Marques Ramos AP, Faita Pinheiro MM, Furuya DEG, Gonçalves WN, de Castro Jorge LA, Marcato Junior J & dos Santos JA (2021) Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, 22(4), 1171-1188.
Machado G, Ferreira E, Nogueira K, Oliveira H, Brito M, Gama PHT & Santos JAD (2021) AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 488-503.
Liesenberg V, Marcato J, Feitosa RQ, Gomes AR, dos Santos JA, Paes RL, Mitishita EA, Tommaselli AMG, Sombra de Sombra FN & Frery AC (2020) IEEE GRSS Brazil Chapter: Status and Activities in 2019 [Chapters]. IEEE Geoscience and Remote Sensing Magazine, 8(4), 144-151.
Oliveira H, Mota V, Machado AMC & dos Santos JA (2020) From 3D to 2D: Transferring knowledge for rib segmentation in chest X-rays. Pattern Recognition Letters, 140, 10-17.
Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2019) Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing, 57(10), 7503-7520.
Nogueira K, dos Santos JA, Menini N, Silva TSF, Morellato LPC & Torres RDS (2019) Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, 16(10), 1665-1669.
Menini N, Almeida AE, Lamparelli R, le Maire G, dos Santos JA, Pedrini H, Hirota M & Torres RDS (2019) A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, 16(2), 320-324.
Nogueira K, Fadel SG, Dourado IC, de O. Werneck R, Munoz JAV, Penatti OAB, Calumby RT, Li LT, dos Santos JA & Torres RDS (2018) Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, 15(9), 1446-1450.
Almeida J, dos Santos JA, Alberton B, Morellato LPC & da S. Torres R (2016) Phenological visual rhythms: Compact representations for fine-grained plant species identification. Pattern Recognition Letters, 81, 90-100.
dos Santos , Gosselin P-H, Philipp-Foliguet S, Torres RDS & Falcao AX (2013) Interactive Multiscale Classification of High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(4), 2020-2034.
da Silva AT, dos Santos JA, Falcão AX, Torres RDS & Magalhães LP (2012) Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning. Computer Vision and Image Understanding, 116(4), 510-523.
dos Santos JA, Gosselin P-H, Philipp-Foliguet S, da S. Torres R & Falao AX (2012) Multiscale Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3764-3775.
Santos JC, Juliani M & Nyari NLD () Dificuldades e desafios dos professores de educação física escolar em tempos de pandemia. Cidadania em Ação: Revista de Extensão e Cultura, 6(2).
Martins JAC, Nogueira K, Osco LP, Gomes FDG, Furuya DEG, Gonçalves WN, Sant’Ana DA, Ramos APM, Liesenberg V, dos Santos JA , de Oliveira PTS et al () Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning. Remote Sensing, 13(16), 3054-3054.
Albarracín JFH, Oliveira RS, Hirota M, dos Santos JA & Torres RDS () A Soft Computing Approach for Selecting and Combining Spectral Bands. Remote Sensing, 12(14), 2267-2267.
Nogueira K, L. S. Machado G, H. T. Gama P, C. V. da Silva C, Balaniuk R & A. dos Santos J () Facing Erosion Identification in Railway Lines Using Pixel-Wise Deep-Based Approaches. Remote Sensing, 12(4), 739-739.

Conference proceedings papers

Pinto A, Santos J, Oliveira H & Machado A (2023) CoDA-Few: Few Shot Domain Adaptation for Medical Image Semantic Segmentation. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 19 February 2023 - 21 February 2023.
Faria FA, Santos JAD, Rocha A & Torres RDS (2012) Automatic Classifier Fusion for Produce Recognition. 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, 22 August 2012 - 25 August 2012.
Dos Santos JA, Faria FA, Torres RDS, Rocha A, Gosselin PH, Philipp-Foliguet S & Falcao A (2012) Descriptor correlation analysis for remote sensing image multi-scale classification. Proceedings - International Conference on Pattern Recognition (pp 3078-3081)
Almeida J, dos Santos JA, Alberton B, Torres RDS & Morellato LPC (2012) Remote phenology: Applying machine learning to detect phenological patterns in a cerrado savanna. 2012 IEEE 8th International Conference on E-Science, 8 October 2012 - 12 October 2012.
Faria FA, dos Santos JA, Torres RDS, Rocha A & Falcao AX (2012) Automatic fusion of region-based classifiers for coffee crop recognition. 2012 IEEE International Geoscience and Remote Sensing Symposium, 22 July 2012 - 27 July 2012.
Dos Santos JA, Penatti OAB, Torres RDS, Gosselin PH, Philipp-Foliguet S & Falcao A (2012) Improving texture description in remote sensing image multi-scale classification tasks by using visual words. Proceedings - International Conference on Pattern Recognition (pp 3090-3093)
de S. Fedel G, Medeiros CB & dos Santos JA (2012) Sinimbu – Multimodal Queries to Support Biodiversity Studies (pp 620-634)
dos Santos JA, da Silva AT, da Silva Torres R, Falcão AX, Magalhães LP & Lamparelli RAC (2011) Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming (pp 300-307)
Dos Santos JA, Penatti OAB & Da Torres RS (2010) Evaluating the potential of texture and color descriptors for remote sensing image retrieval and classification. VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications, Vol. 2 (pp 203-208)
Geovana N. Macário C, dos Santos JA, Medeiros CB & da S. Torres R (2010) Annotating data to support decision-making. Proceedings of the 6th Workshop on Geographic Information Retrieval
Santos JAD, Ferreira CD & Torres RDS (2008) A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems. 2008 XXI Brazilian Symposium on Computer Graphics and Image Processing, 12 October 2008 - 15 October 2008.

Preprints

Laranjeira C, Andrade D & Santos JAD (2023) YOLOv7 for Mosquito Breeding Grounds Detection and Tracking.

Research group: Computer Vision research group