L. Meyers, J. A. Rodríguez-Cordero and R. Mégret, “One-Shot Fine-Grained Re-Identification of Paint Marked Honey Bees using Vision Foundation Models,” 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2026, pp. 560-569, doi: 10.1109/WACV61042.2026.00062.
Nieves-Rivera, A., Lluberes-Contreras, M., & Mégret, R. (2026). The Relevance of Compound Events in Bee Traffic Monitoring. Informatics, 13(5), 65. https://doi.org/10.3390/informatics13050065
M. Lluberes-Contreras and A. V. Nieves-Rivera, “Multidimensional Similarity Analysis of Honey Bee Foraging Activity from Hive Monitoring Data,” 2026 14th International Conference on Agro-Geoinformatics (Agro-Geoinformatics),Sanya, China, 2026.
David Flores, Christian Mattos, Remi Megret. “A Parametric 3D Bee Model for Scalable Synthetic Data Generation in Animal Behavior Studies”. Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP 2026) – Volume 2, pages 226-233. Marbella, España. DOI: 10.5220/0014231100004084.
Gómez-Jaime A., Meyers L., Rodríguez-Cordero J., Agosto-Rivera J., Giray T. and Mégret R. (2025). Paint Blob Detection and Decoding for Identification of Honey Bees. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 2: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 242-250. doi: 10.5220/0013385800003912 NSF PAR
A. V. Nieves-Rivera and M. Lluberes-Contreras, “Using Bee Hive Video Monitoring Data for Individual Bee Flight Assembly and Analysis,” 2025 13th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Boulder, CO, USA, 2025, pp. 1-6, doi: 10.1109/Agro-Geoinformatics66479.2025.11136656.
Rodríguez-Cordero, J. A., Santiago-Plaza, G. A., Meyers, L., Noel, F., Figueroa-Santiago, E. J., Mégret, R., Bravo, C. C., Agosto-Rivera, J. L., & Giray, T. (2024). A Real-Time Edge Computing System for Monitoring Bees at Flowers. In M. Kadoch, K. Lu, F. Ye, & Y. Qian (Eds.), Proceedings of the International Symposium on Intelligent Computing and Networking 2024 (Vol. 1094, pp. 365–375). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-67447-1_27
Santiago-Plaza, G., Meyers, L., Gomez-Jaime, A., Meléndez-Ríos, R., Noel, F., Agosto, J., Giray, T., Rodríguez-Cordero, J., & Mégret, R. (2024). Identification of Honeybees with Paint Codes Using Convolutional Neural Networks: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 772–779. https://doi.org/10.5220/0012460600003660
Erdem, B., Arslan, O. C., Sevin, S., Gozen, A. G., Agosto-Rivera, J. L., Giray, T., & Alemdar, H. (2023). Effects of lithium on locomotor activity and circadian rhythm of honey bees. Scientific Reports, 13(1), 19861. https://doi.org/10.1038/s41598-023-46777-7