Results 211 to 220 of about 50,928 (258)

Deconstruction of Human Age‐Related Cataract Capsules Defines Aging

Advanced Science, EarlyView.
We generate a comprehensive atlas of age‐related cataracts (ARC) at a single‐cell resolution, encompassing three disease states—mild cataract group (Mild), severe cortical cataract group (Severe_C), and severe nuclear cataract group (Severe_N). We find that ARC involves seven distinct lens capsule cell types, with notable differences in cellular ...
Qiaomei Tang, Ziyang Tong, Chunmei Fan, Silong Chen, Jiarui Guo, Jianghua Hu, Ke Yao, Zi Yin, Xiao Chen, Yibo Yu   +9 more
wiley   +1 more source

FOR: Point Cloud Outlier Removal Based on Fuzzy Theory and Informativeness and Its Application to 3D Object Detection. [PDF]

Sensors (Basel)
Gan L, Yang Z, Liu Y, Wang Y, An X.
europepmc   +1 more source

Mexican sign language 3D static alphabet dataset. [PDF]

Data Brief
Rios-Figueroa HV, Sosa-Jiménez CO.
europepmc   +1 more source

TomatoPGT: A 3D point cloud dataset of tomato plants for segmentation and plant-trait extraction. [PDF]

Data Brief
Nethala P, Um D, McCoy SL, Gibson S, Bhandari M, Lee K.   +5 more
europepmc   +1 more source

Long-Tail Aware Cross-Modal Graph Attention Network for Fine-Grained Indoor 3D Semantic Segmentation of Point Clouds. [PDF]

Sensors (Basel)
Özbay E, Altunbey Özbay F.
europepmc   +1 more source

Geometry-aware point cloud clustering for spherical-component aggregate modeling. [PDF]

Sci Rep
Muramatsu Y, Sato S, Sakurai K.
europepmc   +1 more source

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Latent diffusion transformer for point cloud generation

Visual Computer
Junzhong Ji, Minglong Lei, Ji Junzhong   +2 more
exaly   +2 more sources

Learning Progressive Point Embeddings for 3D Point Cloud Generation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Generative models for 3D point clouds are extremely important for scene/object reconstruction applications in autonomous driving and robotics. Despite recent success of deep learning-based representation learning, it remains a great challenge for deep neural networks to synthesize or reconstruct high-fidelity point clouds, because of the difficulties ...
Cheng Wen 0001, Baosheng Yu, Dacheng Tao
openaire   +1 more source

Generalizing Discrete Convolutions for Unstructured Point Clouds

CoRR, 2019
Alexandre ...
openaire   +2 more sources