|
Leo Ramos & Angel D. Sappa. (2024). Multispectral Semantic Segmentation for Land Cover Classification: An Overview (Vol. Vol. 17).
|
|
|
Luis Chuquimarca, B. X. V. & S. V. (2024). Classifying Healthy and Defective Fruits with a Siamese Architecture and CNN Models. In 14th International Conference on Pattern Recognition Systems (ICPRS).
|
|
|
Omar Coello, M. C., Darío Carpio, Boris X. Vintimilla & Luis Chuquimarca. (2024). Enhancing Apple’s Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging. In 14th International Conference on Pattern Recognition Systems (ICPRS).
|
|
|
Patricia L. Suarez, D. C., Angel D. Sappa. (2024). Enhancement of Guided Thermal Image Super-Resolution Approaches (Vol. 573).
|
|
|
Patricia Suarez & Angel D. Sappa. (2024). Haze-Free Imaging through Haze-Aware Transformer Adaptations. In In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024).
|
|
|
Patricia Suarez Riofrio & Angel D. Sappa. (2024). Thermal Image Synthesis: Bridging the Gap between Visible and Infrared Spectrum. In Accepted in 19th International Symposium on Visual Computing 2024.
|
|
|
Patricia Suarez, A. D. S. (2024). A Generative Model for Guided Thermal Image Super-Resolution. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024) Rome 27 – 29 February 2024 (Vol. Vol. 3: VISAPP, pp. 765–771).
|
|
|
Patricia Suarez, A. S. (2024). Depth-Conditioned Thermal-like Image Generation. In 14th International Conference on Pattern Recognition Systems (ICPRS).
|
|
|
Rafael E. Rivadeneira, A. D. S., Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Peilin Chen & Shiqi Wang. (2024). Thermal Image Super Resolution Challenge Results – PBVS 2024. In 20th IEEE Workshop on Perception Beyond the Visible Spectrum of the 2024 Conference on Computer Vision and Pattern Recognition.
|
|
|
Rafael Rivadeneira, H. V. & A. S. (2024). Cross-Spectral Image Registration: a Comparative Study and a New Benchmark Dataset. In In Fourth International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024).
|
|