6 citations · 14 across the 7 of their papers we have counts for
10 papers
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Hoàng-Ân Lê, Florent Guiotte, Minh-Tan Pham +2
Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point clouds is still challeng…
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…
Joint Learning of Intrinsic Images and Semantic Segmentation
Anil S. Baslamisli, Thomas T. Groenestege, Partha Das +3
Semantic segmentation of outdoor scenes is problematic when there are variations in imaging conditions. It is known that albedo (reflectance) is invariant to all kinds of illuminat…
Three for one and one for three: Flow, Segmentation, and Surface Normals
Hoang-An Le, Anil S. Baslamisli, Thomas Mensink +1
Optical flow, semantic segmentation, and surface normals represent different information modalities, yet together they bring better cues for scene understanding problems. In this p…
CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
Anil S. Baslamisli, Hoang-An Le, Theo Gevers
Most of the traditional work on intrinsic image decomposition rely on deriving priors about scene characteristics. On the other hand, recent research use deep learning models as in…