activity
20172022
most citedImage Fusion With Cosparse Analysis Operator

52 citations · 61 across the 6 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn2022

Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics

Indu Kant Deo, Rui Gao, Rajeev Jaiman

There is a critical need for efficient and reliable active flow control strategies to reduce drag and noise in aerospace and marine engineering applications. While traditional full…

eess.IV2021

Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer

Zhendong Liu, Xiaoqiong Huang, Xin Yang +8

Deep segmentation models that generalize to images with unknown appearance are important for real-world medical image analysis. Retraining models leads to high latency and complex…

eess.IV2020★ 1 cited

Contrastive Rendering for Ultrasound Image Segmentation

Haoming Li, Xin Yang, Jiamin Liang +12

Ultrasound (US) image segmentation embraced its significant improvement in deep learning era. However, the lack of sharp boundaries in US images still remains an inherent challenge…

eess.IV2020★ 5 cited

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer

Zhendong Liu, Xin Yang, Rui Gao +9

Deep Neural Networks (DNNs) suffer from the performance degradation when image appearance shift occurs, especially in ultrasound (US) image segmentation. In this paper, we propose…

cs.CV2017★ 3 cited

Multi-Focus Image Fusion Using Sparse Representation and Coupled Dictionary Learning

Farshad G. Veshki, Sergiy A. Vorobyov

We address the multi-focus image fusion problem, where multiple images captured with different focal settings are to be fused into an all-in-focus image of higher quality. Algorith…

cs.CV2017★ 52 cited

Image Fusion With Cosparse Analysis Operator

Rui Gao, Sergiy A. Vorobyov, Hong Zhao

The paper addresses the image fusion problem, where multiple images captured with different focus distances are to be combined into a higher quality all-in-focus image. Most curren…