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Author Title Year Publication (up) Volume Pages
P. Ricaurte; C. Chilán; C. A. Aguilera-Carrasco; B. X. Vintimilla; Angel D. Sappa Performance Evaluation of Feature Point Descriptors in the Infrared Domain 2014 Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2013 1 545 -550
A. Amato; F. Lumbreras; Angel D. Sappa A general-purpose crowdsourcing platform for mobile devices 2014 Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 vol 3 211 - 215
N. Onkarappa; Cristhian A. Aguilera; B. X. Vintimilla; Angel D. Sappa Cross-spectral Stereo Correspondence using Dense Flow Fields 2014 Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 3 613 - 617
Armin Mehri; Angel D. Sappa Colorizing Near Infrared Images through a Cyclic Adversarial Approach of Unpaired Samples 2019 Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019); Long Beach, California, United States pp 971-979
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla; Riad I. Hammoud Image Vegetation Index through a Cycle Generative Adversarial Network 2019 Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2019); Long Beach, California, United States 1014-1021
Rangnekar,Aneesha; Mulhollan,Zachary; Vodacek,Anthony; Hoffman,Matthew; Sappa,Angel D.; Yu,Jun et al. Semi-Supervised Hyperspectral Object Detection Challenge Results-PBVS 2022. 2022 Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. 2022-June 389 - 397
Low S., Inkawhich N., Nina O., Sappa A. and Blasch E. Multi-modal Aerial View Object Classification Challenge Results-PBVS 2022. 2022 Conference on Computer Vision and Pattern Recognition Workshops, (CVPRW 2022), junio 19-24. 2022-June 417 - 425
Xavier Soria, Angel Sappa, Patricio Humanante, Arash Akbarinia 2023 Dense extreme inception network for edge detection. Pattern Recognition, Vol. 139, 109461
Roberto Jacome Galarza. Multimodal deep learning for crop yield prediction. 2022 Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. 1647 pp. 106 – 117
Stalin Francis Quinde Un nuevo modelo BM3D-RNCA para mejorar la estimación de la imagen libre de ruido producida por el método BM3D. (Ph.D. Angel Sappa, Director.). M.Sc. thesis 2019 Ediciones FIEC-ESPOL