research
∙
08/03/2023
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Recent data-driven image colorization methods have enabled automatic or ...
share
research
∙
12/26/2022
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
The lack of efficient segmentation methods and fully-labeled datasets li...
research
∙
11/15/2022
Bayesian Federated Neural Matching that Completes Full Information
Federated learning is a contemporary machine learning paradigm where loc...
research
∙
10/24/2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks
Fusing deep learning models trained on separately located clients into a...
research
∙
12/06/2020
Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information
In federated learning, models trained on local clients are distilled int...
research
∙
10/29/2020
An automated and multi-parametric algorithm for objective analysis of meibography images
Meibography is a non-contact imaging technique used by ophthalmologists ...
research
∙
12/02/2019
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
We present DeepFPC, a novel deep neural network designed by unfolding th...
research
∙
02/05/2019
Neural Network for NILM Based on Operational State Change Classification
Energy disaggregation in a non-intrusive way estimates appliance level e...
research
∙
02/18/2016