E2PNet: event to point cloud registration with spatio-temporal representation learning
Event cameras have emerged as a promising vision sensor in recent years due to their
unparalleled temporal resolution and dynamic range. While registration of 2D RGB images to 3D …
unparalleled temporal resolution and dynamic range. While registration of 2D RGB images to 3D …
A deep learning model for detection and tracking in high-throughput images of organoid
Organoid, an in vitro 3D culture, has extremely high similarity with its source organ or tissue,
which creates a model in vitro that simulates the in vivo environment. Organoids have been …
which creates a model in vitro that simulates the in vivo environment. Organoids have been …
Optic disc and optic cup segmentation based on anatomy guided cascade network
Background and Objective Glaucoma, a worldwide eye disease, may cause irreversible
vision damage. If not treated properly at an early stage, glaucoma eventually deteriorates into …
vision damage. If not treated properly at an early stage, glaucoma eventually deteriorates into …
Association of serum retinol-binding protein 4 levels and the risk of incident type 2 diabetes in subjects with prediabetes
J Fan, S Yin, D Lin, Y Liu, N Chen, X Bai, Q Ke… - Diabetes …, 2019 - Am Diabetes Assoc
OBJECTIVE To explore the association of serum retinol-binding protein 4 (RBP4) levels and
risk for the development of type 2 diabetes in individuals with prediabetes. RESEARCH …
risk for the development of type 2 diabetes in individuals with prediabetes. RESEARCH …
DDA-Net: Unsupervised cross-modality medical image segmentation via dual domain adaptation
Background and Objective: Deep convolutional networks are powerful tools for single-modality
medical image segmentation, whereas generally require semantic labelling or annotation …
medical image segmentation, whereas generally require semantic labelling or annotation …
Learning to match 2d images and 3d lidar point clouds for outdoor augmented reality
Large-scale Light Detection and Ranging (LiDAR) point clouds provide basic 3D information
support for Augmented Reality (AR) in outdoor environments. Especially, matching 2D …
support for Augmented Reality (AR) in outdoor environments. Especially, matching 2D …
Vehicle global 6-DoF pose estimation under traffic surveillance camera
Accurately sensing the global position and posture of vehicles in traffic surveillance videos
is a challenging but valuable issue for future intelligent transportation systems. Although in …
is a challenging but valuable issue for future intelligent transportation systems. Although in …
Architectural spatial characteristics of Fujian Tubao from the perspective of Chinese traditional ethical culture
X Lin, Y Wu - Buildings, 2023 - mdpi.com
Ethics was used as a building code in ancient China, not only to guide the construction of
cities and buildings but also to define a strict hierarchy of architectural characteristics. The …
cities and buildings but also to define a strict hierarchy of architectural characteristics. The …
DSMNet: Deep high-precision 3-D surface modeling from sparse point cloud frames
C Qiu, Z Wang, X Lin, Y Zang… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Existing point cloud modeling datasets primarily express the modeling precision by pose or
trajectory precision rather than the point cloud modeling effect itself. Under this demand, we …
trajectory precision rather than the point cloud modeling effect itself. Under this demand, we …
Ground camera images and uav 3d model registration for outdoor augmented reality
This paper presents a novel virtual-real registration approach for augmented reality (AR) in
large-scale outdoor environments. Essentially, it is a pose estimation for the mobile camera …
large-scale outdoor environments. Essentially, it is a pose estimation for the mobile camera …