Mostrando 10 resultados de: 10
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Advances in Intelligent Systems and Computing(2)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Electronic Letters on Computer Vision and Image Analysis(1)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops(1)
International Conference on Systems, Signals, and Image Processing(1)
Cross-Spectral Image Dehaze through a Dense Stacked Conditional GAN Based Approach
Conference ObjectAbstract: This paper proposes a novel approach to remove haze from RGB images using a near infrared images basPalabras claves:Convolutional Networks, Cross spectral, Dense, Infrared imaging, Stacked CGANAutores:A. D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez RiofrioFuentes:googlescopusCYCLE GENERATIVE ADVERSARIAL NETWORK: TOWARDS A LOW-COST VEGETATION INDEX ESTIMATION
Conference ObjectAbstract: This paper presents a novel unsupervised approach to estimate the Normalized Difference Vegetation IPalabras claves:CyclicGAN, Instance normalization, NDVI, Near infrared spectraAutores:A. D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez RiofrioFuentes:googlescopusAdaptive harris corner detector evaluated with cross-spectral images
Conference ObjectAbstract: This paper proposes a novel approach to use cross-spectral images to achieve a better performance wiPalabras claves:Cross-spectral, Fusion, Near infrared, Pixel, pruning, Visible spectraAutores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez RiofrioFuentes:googlescopusNon-homogeneous Haze Removal Through a Multiple Attention Module Architecture
Conference ObjectAbstract: This paper presents a novel attention based architecture to remove non-homogeneous haze. The proposePalabras claves:Adaptative, Instance normalization, Residual learning, Spatial attentionAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Patricia L. Suarez RiofrioFuentes:googlescopusOff-The-Shelf Based System for Urban Environment Video Analytics
Conference ObjectAbstract: This paper presents the design and implementation details of a system build-up by using off-the-shelPalabras claves:carbon footprint, greenhouse gases, object detection, object tracking, off-the-shelf video analytics, website frameworkAutores:A. D. Sappa, Henry Oswaldo Velesaca Lara, Patricia L. Suarez Riofrio, Sanchez A., Steven AraujoFuentes:googlescopusImage vegetation index through a cycle generative adversarial network
Conference ObjectAbstract: This paper proposes a novel approach to estimate the Normalized Difference Vegetation Index (NDVI) jPalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Hammoud R.I., Patricia L. Suarez RiofrioFuentes:googlescopusLearning to colorize infrared images
Conference ObjectAbstract: This paper focuses on near infrared (NIR) image colorization by using a Generative Adversarial NetwoPalabras claves:CNN in multispectral imaging, Image colorizationAutores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez RiofrioFuentes:googlescopusTransformer based Image Dehazing
Conference ObjectAbstract: This paper presents a novel approach to remove non homogeneous haze from real images. The proposed mPalabras claves:atmospheric light, brightness component, computational cost, dehazing quality, haze-free imageAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Henry Oswaldo Velesaca Lara, Patricia L. Suarez RiofrioFuentes:googlescopusProcessing and Representation of Multispectral Images Using Deep Learning Techniques
ArticleAbstract: This thesis has implemented innovative techniques in the field of computer vision using visible andPalabras claves:convolutional neural networks, Generative Adversarial Network, haze, Infrared Imagery colorization, normalized difference vegetation index, Stacked Generative Adversarial NetworkAutores:Patricia L. Suarez RiofrioFuentes:googlescopusThermal image superresolution through deep convolutional neural network
Conference ObjectAbstract: Due to the lack of thermal image datasets, a new dataset has been acquired for proposed a super-resoPalabras claves:convolutional neural networks, Image enhancement, Thermal cameras, Thermal infrared imagesAutores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez Riofrio, Rafael Rivadeneira C.Fuentes:googlescopus