Abello, A. A. & Jr, R. H. :2019:
Optimizing Super Resolution for Face Recognition
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The search expression was <conferencen sibgrapi 32>.
35 references found. Search local date and time: 11/07/2025 14:22. |
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AbelloJr:2019:OpSuRe Abello, A. A. & Jr, R. H. :2019: Optimizing Super Resolution for Face Recognition
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AmorimMutSouBadOli:2019:SiEfLo Amorim, L. L., et al. :2019: Simple and effective load volume estimation in moving trucks using LiDARs
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BarcelosFNKPCPG:2019:ExHiSi Barcelos, I. B., et al. :2019: Exploring hierarchy simplification for non-significant region removal
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BastosMeloSchw:2019:MuReRe Bastos, I. L. O.; Melo, V. H. C. & Schwartz, W. R. :2019: Multi-Loss Recurrent Residual Networks for Gesture Detection and Recognition
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BelémJoãoGuimFalc:2019:ImObSe Belém, F. C., et al. :2019: The Importance of Object-based Seed Sampling for Superpixel Segmentation
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CaetanoBrémSchw:2019:SkImRe Caetano, C.; Brémond, F. & Schwartz, W. R. :2019: Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
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CardenasCernChav:2019:DySiLa Cardenas, E. J. E.; Cerna, L. R. & Chavez, G. C. :2019: Dynamic Sign Language Recognition Based on Convolutional Neural Networks and Texture Maps
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CarneiroElmGonCouMor:2019:ViPuUs Carneiro, A. T. S., et al. :2019: PursuitPass: A Visual Pursuit-Based User Authentication System
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CarneiroSilvGuimPedr:2019:FiDeVi Carneiro, S. A., et al. :2019: Fight Detection in Video Sequences Based on Multi-Stream Convolutional Neural Networks
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CetinaslanChav:2019:EnEmGa Cetinaslan, O. & Chaves, R. O. :2019: Energy Embedded Gauss-Seidel Iteration for Soft Body Simulations
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CostaCoutCout:2019:FaReUs Costa, M. V. B.; Couto, C. M. V. & Couto, L. N. :2019: Face Recognition Using LBP on an Image Transformation Based on Complex Network Degrees
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CáceresCondCháv:2019:ExDoCr Cáceres, J. R. L.; Condori, M. A. M. & Chávez, G. C. :2019: Exploring Double Cross Cyclic Interpolation in Unpaired Image-to-Image Translation
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FranceschinAbraNettCele:2019:GPReAr Franceschin, B., et al. :2019: GPU-based Rendering of Arbitrarily Complex Cutting Surfaces for Black Oil Reservoir Models
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GarciaMartLinsCama:2019:AcDiIm Garcia, P. S. C., et al. :2019: Acquisition of digital images and identification of Aedes aegypti mosquito eggs using classification and deep learning
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Gutierrez-CastillaToFaKoScMaMo:2019:ExMuIn Gutierrez-Castilla, N., et al. :2019: Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation
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JrSilvVieiOliv:2019:DeLeAp Jr. , V. N., et al. :2019: RetailNet: A deep learning approach for people counting and hot spots detection in retail stores
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LaranjeiraLaceNasc:2019:MoCoOb Laranjeira, C.; Lacerda, A. & Nascimento, E. R. :2019: On Modeling Context from Objects with a Long Short-Term Memory for Indoor Scene Recognition
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LourençoSilvFern:2019:LeApTr Lourenço, V. N.; Silva, G. G. & Fernandes, L. A. F. :2019: Hierarchy-of-Visual-Words: a Learning-based Approach for Trademark Image Retrieval
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LucioLarZanMorMen:2019:SiIrPe Lucio, D. R., et al. :2019: Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
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MeninCharDavoNede:2019:ToAlGe Menin, A., et al. :2019: eSTIMe: Towards an All-in-One Geovisualization Environment for Daily Mobility Analysis
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MesquitaCele:2019:RoEfMe Mesquita, R. & Celes, W. :2019: Robust and effective method for automatic generation of one-dimensional transfer functions
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Milon-FloresOchoGome:2019:GeAuSu Milon-Flores, D. F.; Ochoa-Luna, J. & Gomez-Nieto, E. :2019: Generating audiovisual summaries from literary works using emotion analysis
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OliveiraIntePereGome:2019:ViAuAn Oliveira, Í. P., et al. :2019: Video audience analysis using bayesian networks and face demographics
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PereiraSant:2019:HoEfSu Pereira, M. B. & Santos, J. A. :2019: How effective is super-resolution to improve dense labelling of coarse resolution imagery?
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RamosCaFaLiNoTrTr:2019:FaSmSe Ramos, J. S., et al. :2019: Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg
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RamosSantCava:2019:PaApIn Ramos, A. R. C.; Santos, E. & Cavalcante Neto, J. B. :2019: A partition approach to interpolate polygon sets for animation
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RodriguesBarbLopeBarb:2019:CoEfVi Rodrigues, A. M. B., et al. :2019: Comparing the effectiveness of visualizations of different data distributions
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RodriguesLoGiBaViGuSi:2019:CASyBr Rodrigues, P. S. S., et al. :2019: CAD System for Breast US Images with Speckle Noise Reduction and Bio-inspired Segmentation
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SantosPireColoPapa:2019:ViSeLe Santos, D. F. S., et al. :2019: Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
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SantosPont:2019:AlLoGl Santos, F. P. & Ponti, M. A. :2019: Alignment of Local and Global Features from Multiple Layers of Convolutional Neural Network for Image Classification
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SantosSebeAlme:2019:AcReCo Santos, S. F.; Sebe, N. & Almeida, J. :2019: CV-C3D: Action Recognition on Compressed Videos with Convolutional 3D Networks
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SouzaFray:2019:HyFrDe Souza, R. & Frayne, R. :2019: A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
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SouzaLBGRALF:2019:BrExNe Souza, R., et al. :2019: Brain extraction network trained with “silver standard” data and fine-tuned with manual annotation for improved segmentation
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StringhiniWelfOrneGama:2019:LoCTDe Stringhini, R. M., et al. :2019: Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering
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YamadaGoisBata:2019:SoTaPu Yamada, F. M.; Gois, J. P. & Batagelo, H. C. :2019: Solving Tangram Puzzles Using Raster-Based Mathematical Morphology
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