64 citations · 71 across the 4 of their papers we have counts for
4 papers
PLANesT-3D: A new annotated dataset for segmentation of 3D plant point clouds
Kerem Mertoğlu, Yusuf Şalk, Server Karahan Sarıkaya +6
Creation of new annotated public datasets is crucial in helping advances in 3D computer vision and machine learning meet their full potential for automatic interpretation of 3D pla…
Star+: A New Multi-Domain Model for CTR Prediction
Çağrı Yeşil, Kaya Turgut
In this paper, we introduce Star+, a novel multi-domain model for click-through rate (CTR) prediction inspired by the Star model. Traditional single-domain approaches and existing…
Local region-learning modules for point cloud classification
Kaya Turgut, Helin Dutagaci
Data organization via forming local regions is an integral part of deep learning networks that process 3D point clouds in a hierarchical manner. At each level, the point cloud is s…
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
Kaya Turgut, Helin Dutagaci, Gilles Galopin +1
Segmentation of structural parts of 3D models of plants is an important step for plant phenotyping, especially for monitoring architectural and morphological traits. Current state-…