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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops(4)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(4)
Communications in Computer and Information Science(1)
Generative Adversarial Networks for Image-to-Image Translation(1)
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Colorizing near infrared images through a cyclic adversarial approach of unpaired samples
Conference ObjectAbstract: This paper presents a novel approach for colorizing near infrared (NIR) images. The approach is basePalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Mehri A.Fuentes:googlescopusAn adapted alternation approach for recommender systems
Conference ObjectAbstract: This paper presents an adaptation of the Alternation technique to tackle the pbkp_rediction task inPalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Julià C., López-Peña A., Lumbreras Ruiz F., Serrat J.Fuentes:googlescopusA Novel Domain Transfer-Based Approach for Unsupervised Thermal Image Super-Resolution
ArticleAbstract: This paper presents a transfer domain strategy to tackle the limitations of low-resolution thermal sPalabras claves:Attention module, Semiregistered thermal images, Thermal image super-resolution, thermal images, Unsupervised super-resolutionAutores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Hammoud R.I., Rafael Rivadeneira C.Fuentes:googlescopusA pbkp_redictive model for human activity recognition by observing actions and context
Book PartAbstract: This paper presents a novel model to estimate human activities — a human activity is defined by a sePalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Dennis G. Romero, Freire-Bastos T., Neto A.F.Fuentes:googlescopusConcurrent learning of visual codebooks and object categories in open-ended domains
Conference ObjectAbstract: In open-ended domains, robots must continuously learn new object categories. When the training setsPalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Kasaei S.H., Lim G.H., Oliveira M., Seabra Lopes L., Tome A.M.Fuentes:googlescopusCross-spectral image patch similarity using convolutional neural network
Conference ObjectAbstract: The ability to compare image regions (patches) has been the basis of many approaches to core computePalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez RiofrioFuentes:googlescopusCross-spectral local descriptors via quadruplet network
ArticleAbstract: This paper presents a novel CNN-based architecture, referred to as Q-Net, to learn local feature desPalabras claves:cnn, Cross-spectral, Descriptor, InfraredAutores:A. D. Sappa, Aguilera C., Aguilera-Carrasco C.A., Angel D. Sappa, Toledo R.Fuentes:googlescopusDeep Learning Based Camera Pose Estimation in Multi-view Environment
Conference ObjectAbstract: This paper proposes to use a deep learning network architecture for relative camera pose estimationPalabras claves:Camera pose estimation, deep learning, Multiview environment, Siamese ArchitectureAutores:A. D. Sappa, Boris X. Vintimilla Burgos, Jorge Misael Merchán RieraFuentes:googlescopusDeep Learning Based Shrimp Classification
Conference ObjectAbstract: This work proposes a novel approach based on deep learning to address the classification of shrimp (Palabras claves:color space, Light weight network, PigmentationAutores:A. D. Sappa, Angel D. Sappa, Dario Carpio, Francisca Burgos, Henry Oswaldo Velesaca Lara, Patricia L. Suarez Riofrio, Patricia UrdialesFuentes:googlescopusDeep learning based corn kernel classification
Conference ObjectAbstract: This paper presents a full pipeline to classify sample sets of corn kernels. The proposed approach fPalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Christian X. Larrea, Henry Oswaldo Velesaca Lara, Patricia L. Suarez Riofrio, Raúl A. Mira, Raúl Alberto MiraFuentes:googlescopus