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Patricia L. Suarez, Angel D. Sappa, & Boris X. Vintimilla. (2017). Cross-spectral Image Patch Similarity using Convolutional Neural Network. In 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) (pp. 1–5).
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Angel J. Valencia, Roger M. Idrovo, Angel D. Sappa, Douglas Plaza G., & Daniel Ochoa. (2017). A 3D Vision Based Approach for Optimal Grasp of Vacuum Grippers. In 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) (pp. 1–6).
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Sianna Puente, Cindy Madrid, Miguel Realpe, & Boris X. Vintimilla. (2017). An Empirical Comparison of DCNN libraries to implement the Vision Module of a Danger Management System. In 2017 International Conference on Deep Learning Technologies (ICDLT 2017) (Vol. Part F128535, pp. 60–65).
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Xavier Soria, Edgar Riba, & Angel D. Sappa. (2020). Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection. In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 1912–1921).
Abstract: This paper proposes a Deep Learning based edge de- tector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed ap- proach generates thin edge-maps that are plausible for hu- man eyes; it can be used in any edge detection task without previous training or fine tuning process. As a second contri- bution, a large dataset with carefully annotated edges, has been generated. This dataset has been used for training the proposed approach as well the state-of-the-art algorithms for comparisons. Quantitative and qualitative evaluations have been performed on different benchmarks showing im- provements with the proposed method when F-measure of ODS and OIS are considered.
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Patricia Suarez & Angel D. Sappa. (2025). Synthetic Thermal Image Generation from Multi-Cue Input Data. In 20th International Conference on Computer Vision Theory and Applications VISIGRAPP 2025 Porto 26-28 Febrero 2025 (Vol. Vol. 3, pp. 275–282).
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Gisel Bastidas G., P. M. V., Boris Vintimilla & Angel D. Sappa. (2025). Application-Guided Image Fusion: A Path to Improve Results in High-Level Vision Tasks. In 20th International Conference on Computer Vision Theory and Applications VISIGRAPP 2025 Porto 26-28 Febrero 2025 (Vol. Vol. 3, pp. 178–187).
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Heny O. Velesaca, A. M., Anjali Singh, Angel Sappa. (2025). The Hidden Cost of Poor Annotations: How Label Quality Affects Camouflaged Object Detection Performance. In 20th International Symposium on Visual Computing (ISVC 2025).
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Benítez-Quintero J., Q. - P. O., Calderon, Fernanda. (2022). Notes on Sulfur Fluxes in Urban Areas with Industrial Activity. In 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, (Vol. 2022-July).
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Michael B. Estrada, B. X. V. & L. E. C. (2026). A review of Advances in Artificial Intelligence-Driven Technologies for Assessing Food Quality Using Hyperspectral and Multiespectral Imaging. 21st International Conference on Computer Vision Theory and Applications VISAPP 2026, .
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Guillermo C. Erazo, X. S. P. & A. D. S. (2026). SynShapes: A synthetic Image-Annotation dataset for Edge Detection. 21st International Conference on Computer Vision Theory and Applications VISAPP 2026, .
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