49 citations · 136 across the 12 of their papers we have counts for
12 papers
Balanced Prompt Adaptation against Entropy-Induced Collapse for Test-Time Binary Segmentation
Zhengshan Wang, Joshua Charles Webster-Ford, Yifei Tian +3
Entropy minimization is a standard objective for test-time adaptation (TTA), but it can fail in imbalanced binary segmentation. Unlike image classification, dense segmentation aggr…
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…
Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems
Yuepeng Chen, Weiping Ding, Hengrong Ju +2
Feature selection is a vital technique in machine learning, as it can reduce computational complexity, improve model performance, and mitigate the risk of overfitting. However, the…
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…
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li, Zhen Wang, Yankai Chen +3
Active learning seeks to achieve strong performance with fewer training samples. It does this by iteratively asking an oracle to label new selected samples in a human-in-the-loop m…
Few-Shot Object Detection: Research Advances and Challenges
Zhimeng Xin, Shiming Chen, Tianxu Wu +3
Object detection as a subfield within computer vision has achieved remarkable progress, which aims to accurately identify and locate a specific object from images or videos. Such m…
How to characterize imprecision in multi-view clustering?
Jinyi Xu, Zuowei Zhang, Ze Lin +3
It is still challenging to cluster multi-view data since existing methods can only assign an object to a specific (singleton) cluster when combining different view information. As…
Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
Yingbai Hu, Fares J. Abu-Dakka, Fei Chen +4
Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds significant promise for capturing expert motor skills through efficient imitation, facilitatin…