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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: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:googlescopusDeep learning based single image dehazing
Conference ObjectAbstract: This paper proposes a novel approach to remove haze degradations in RGB images using a stacked condiPalabras claves:Autores:A. D. Sappa, Angel D. Sappa, Boris X. Vintimilla Burgos, Hammoud R.I., Patricia L. Suarez RiofrioFuentes:googlescopusMulti-modal Aerial View Object Classification Challenge Results - PBVS 2022
Conference ObjectAbstract: This paper details the results and main findings of the second iteration of the Multi-modal Aerial VPalabras claves:Autores:A. D. Sappa, Blasch E., Inkawhich N., Low S., Nina O.Fuentes:scopusInfrared Image Colorization Based on a Triplet DCGAN Architecture
Conference ObjectAbstract: This paper proposes a novel approach for colorizing near infrared (NIR) images using a Deep ConvolutPalabras claves:Autores:A. D. Sappa, Boris X. Vintimilla Burgos, Patricia L. Suarez RiofrioFuentes: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 Cross-Spectral Similarity Measures with Deep Convolutional Neural Networks
Conference ObjectAbstract: The simultaneous use of images from different spectra can be helpful to improve the performance of mPalabras claves:Autores:A. D. Sappa, Aguilera F.J., Aguilera-Carrasco C.A., Toledo R.Fuentes:scopusSemi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022
Conference ObjectAbstract: This paper summarizes the top contributions to the first semi-supervised hyperspectral object detectPalabras claves:Autores:A. D. Sappa, Chang H., Du S., Gao F., Hoffman M., Kim K.S., Ling Q., Lu K., Mulhollan Z., Rangnekar A., Shuang F., Shyam P., Vodacek A., Wang L., Yoon K.J., Yu J., Yu Y., Zhang L., Zhang Z.Fuentes:scopusThermal Image Super-Resolution Challenge Results - PBVS 2022
Conference ObjectAbstract: This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organizedPalabras claves:Autores:A. D. Sappa, Boris X. Vintimilla Burgos, Cao L., Hu J., Jia Z., Jian Y., Jiang J., Kim D., Kim J., Li L., Li Z., Liu X., Lv C., Qi F., Rafael Rivadeneira C., Sun L., Sun Q., Tian X., Wang C., Wang H., Wang K., Wang Y., Wei H., Wu R., Yan B., Zhang X., Zhao Y., Zhong Z.Fuentes:googlescopus