115 citations · 153 across the 9 of their papers we have counts for
5 papers · 1 filter
Attention Hybrid Variational Net for Accelerated MRI Reconstruction
Guoyao Shen, Boran Hao, Mengyu Li +4
The application of compressed sensing (CS)-enabled data reconstruction for accelerating magnetic resonance imaging (MRI) remains a challenging problem. This is due to the fact that…
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xin Zhang, Jiaxian Guo, Paul Yoo +2
Text-to-image generative models have attracted rising attention for flexible image editing via user-specified descriptions. However, text descriptions alone are not enough to elabo…
RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks
Xin Zhang, Chen Liu, Degang Yang +4
In the realm of deep learning, spatial attention mechanisms have emerged as a vital method for enhancing the performance of convolutional neural networks. However, these mechanisms…
Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation
Xiaodong Zhao, YiXuan Luo, Juejing Liu +6
Manual analysis of XRD data is usually laborious and time consuming. The deep neural network (DNN) based models trained by synthetic XRD patterns are proved to be an automatic, acc…
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization
Congqi Cao, Yizhe Wang, Yue Lu +2
Temporal action localization (TAL) is a prevailing task due to its great application potential. Existing works in this field mainly suffer from two weaknesses: (1) They often negle…