6 papers · 1 filter
SVGS: Single-View to 3D Object Editing via Gaussian Splatting
Pengcheng Xue, Yan Tian, Qiutao Song +7
Text-driven 3D scene editing has attracted considerable interest due to its convenience and user-friendliness. However, methods that rely on implicit 3D representations, such as Ne…
V-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy
Long Bai, Beilei Cui, Liangyu Wang +9
Deep learning can predict depth maps and capsule ego-motion from capsule endoscopy videos, aiding in 3D scene reconstruction and lesion localization. However, the collisions of the…
Visual-Semantic Graph Matching Net for Zero-Shot Learning
Bowen Duan, Shiming Chen, Yufei Guo +3
Zero-shot learning (ZSL) aims to leverage additional semantic information to recognize unseen classes. To transfer knowledge from seen to unseen classes, most ZSL methods often lea…
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction
Hui Luo, Jiashuang Huang, Hengrong Ju +2
Accurate cancer survival prediction is crucial for assisting clinical doctors in formulating treatment plans. Multimodal data, including histopathological images and genomic data,…
FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation
Weiping Ding, Sheng Geng, Haipeng Wang +2
In recent years, the denoising diffusion model has achieved remarkable success in image segmentation modeling. With its powerful nonlinear modeling capabilities and superior genera…
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
Weiping Ding, Tianyi Zhou, Jiashuang Huang +3
Histopathological image classification constitutes a pivotal task in computer-aided diagnostics. The precise identification and categorization of histopathological images are of pa…