Open access research
publication repository

DOCUMENTS BY ahmed.zgaren@teluq.ca

Up one level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0

Papers in Conference Proceedings

Zgaren, Ahmed; Bouachir, Wassim; Bouguila, Nizar, & Hammoud, Riad I. (2023). MoundCount: A Detection-Based Approach for Automatic Counting of Planting Microsites on UAV Images. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (p. 497-506).

Nikougoftar Nategh, Majid; Zgaren, Ahmed; Bouachir, Wassim, & Bouguila, Nizar (2022). Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction. In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) (p. 375-381). IEEE. https://doi.org/10.1109/ICMLA55696.2022.00060

Zgaren, Ahmed; Bouachir, Wassim, & Ksantini, Riadh (2020). Coarse-to-Fine Object Tracking Using Deep Features and Correlation filters. In Advances in Visual Computing : 15th International Symposium, ISVC 2020, San Diego, CA, USA, October 5-7, 2020, Proceedings. Cham, Suisse : Springer, coll. « Lecture Notes in Computer Science », vol. 12509. https://doi.org/10.1007/978-3-030-64556-4_40