1 citations · 1 across the 3 of their papers we have counts for
8 papers
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery
Anne Achieng Osio, Hoàng-Ân Lê, Samson Ayugi +3
Deep-learning-based image classification and object detection has been applied successfully to tree monitoring. However, studies of tree crowns and fallen trees, especially on floo…
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data
Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch +2
It is of interest to localize a ground-based LiDAR point cloud on remote sensing imagery. In this work, we tackle a subtask of this problem, i.e. to map a digital elevation model (…
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Hoang-An Le, Thomas Mensink, Partha Das +2
Multimodal large-scale datasets for outdoor scenes are mostly designed for urban driving problems. The scenes are highly structured and semantically different from scenarios seen i…
Novel View Synthesis from Single Images via Point Cloud Transformation
Hoang-An Le, Thomas Mensink, Partha Das +1
In this paper the argument is made that for true novel view synthesis of objects, where the object can be synthesized from any viewpoint, an explicit 3D shape representation isdesi…
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
Anil S. Baslamisli, Partha Das, Hoang-An Le +2
In general, intrinsic image decomposition algorithms interpret shading as one unified component including all photometric effects. As shading transitions are generally smoother tha…
Improving Face Detection Performance with 3D-Rendered Synthetic Data
Jian Han, Sezer Karaoglu, Hoang-An Le +1
In this paper, we provide a synthetic data generator methodology with fully controlled, multifaceted variations based on a new 3D face dataset (3DU-Face). We customized synthetic d…