Eric K. Tokuda
Eric K. Tokuda
University of Oxford, University of Sao Paulo
Verified email at - Homepage
Cited by
Cited by
Single image deraining: A comprehensive benchmark analysis
S Li, IB Araujo, W Ren, Z Wang, EK Tokuda, RH Junior, R Cesar-Junior, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora
JMC Mondego, RO Vidal, MF Carazzolle, EK Tokuda, LP Parizzi, ...
BMC plant biology 11, 1-23, 2011
Exposing computer generated images by using deep convolutional neural networks
ERS De Rezende, GCS Ruppert, A Theophilo, EK Tokuda, T Carvalho
Signal Processing: Image Communication 66, 113-126, 2018
Computer generated images vs. digital photographs: A synergetic feature and classifier combination approach
EK Tokuda, A Rocha, H Pedrini
Journal of Visual Communication and Image Representation, 2013
Let's get dirty: Gan based data augmentation for camera lens soiling detection in autonomous driving
M Uricar, G Sistu, H Rashed, A Vobecky, VR Kumar, P Krizek, F Burger, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
A comprehensive benchmark analysis of single image deraining: Current challenges and future perspectives
S Li, W Ren, F Wang, IB Araujo, EK Tokuda, RH Junior, RM Cesar-Jr, ...
International Journal of Computer Vision 129, 1301-1322, 2021
Revisiting agglomerative clustering
EK Tokuda, CH Comin, LF Costa
Physica A: Statistical Mechanics and its Applications, 126433, 2021
Quantifying the presence of graffiti in urban environments
EK Tokuda, RM Cesar, CT Silva
2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019
A similarity approach to cities and features
LF Costa, EK Tokuda
The European Physical Journal B 95 (9), 155, 2022
A new approach for pedestrian density estimation using moving sensors and computer vision
EK Tokuda, Y Lockerman, GBA Ferreira, E Sorrelgreen, D Boyle, ...
ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-20, 2020
A novel semi-supervised detection approach with weak annotation
EK Tokuda, GBA Ferreira, C Silva, RM Cesar
2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2018
Sidewalk measurements from satellite images: Preliminary findings
M Hosseini, IB Araujo, H Yazdanpanah, EK Tokuda, F Miranda, CT Silva, ...
Spatial Data Science Symposium 2021, 2021
Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks
GS Domingues, EK Tokuda, L da F Costa
Journal of Physics: Complexity 3 (4), 045003, 2022
Impact of the topology of urban streets on mobility optimization
EK Tokuda, CH Comin, L da F Costa
Journal of Statistical Mechanics: Theory and Experiment 2022 (10), 103204, 2022
Spatial distribution of graffiti types: a complex network approach
EK Tokuda, HF de Arruda, CH Comin, RM Cesar Jr, CT Silva, ...
The European Physical Journal B 94, 1-8, 2021
The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools
JE Froehlich, Y Eisenberg, M Hosseini, F Miranda, M Adams, A Caspi, ...
Proceedings of the 24th International ACM SIGACCESS Conference on Computers …, 2022
Integrated Analytics and Visualization for Multi-modality Transportation Data
CT Silva, J Freire, F Miranda, M Lage, H Doraiswamy, M Hosseini, ...
Connected Cities for Smart Mobility toward Accessible and Resilient …, 2019
Pereira GA; Brazilian Coffee Genome Project Consortium.(2011) An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and …
JM Mondego, RO Vidal, MF Carazzolle, EK Tokuda, LP Parizzi, GG Costa
BMC Plant Biol 11, 30, 2011
Cross-relation characterization of knowledge networks
EK Tokuda, R Lambiotte, LF Costa
The European Physical Journal B 96 (11), 144, 2023
17K-Graffiti: spatial and crime data assessments in São Paulo city
B Lavi, EK Tokuda, F Moreno-Vera, LG Nonato, CT Silva, J Poco
International Conference on Computer Vision Theory and Applications, 2022
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