most citedLearning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation

23 citations · 42 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV202423 cited

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation

Jingjun Yi, Qi Bi, Hao Zheng +5

The rapid development of Vision Foundation Model (VFM) brings inherent out-domain generalization for a variety of down-stream tasks. Among them, domain generalized semantic segment…

eess.IV20237 cited

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views

Dong Wei, Yawen Huang, Donghuan Lu +2

Background: View planning for the acquisition of cardiac magnetic resonance (CMR) imaging remains a demanding task in clinical practice. Purpose: Existing approaches to its automat…

cs.CV20233 cited

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion

Jinheng Xie, Yuexiang Li, Yawen Huang +4

Recent text-to-image diffusion models have demonstrated an astonishing capacity to generate high-quality images. However, researchers mainly studied the way of synthesizing images…

eess.IV2023

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction

Yunlu Yan, Chun-Mei Feng, Yuexiang Li +2

While multi-modal learning has been widely used for MRI reconstruction, it relies on paired multi-modal data which is difficult to acquire in real clinical scenarios. Especially in…

eess.IV20232 cited

Cross-Modal Vertical Federated Learning for MRI Reconstruction

Yunlu Yan, Hong Wang, Yawen Huang +5

Federated learning enables multiple hospitals to cooperatively learn a shared model without privacy disclosure. Existing methods often take a common assumption that the data from d…

cs.CV20231 cited

VisorGPT: Learning Visual Prior via Generative Pre-Training

Jinheng Xie, Kai Ye, Yudong Li +5

Various stuff and things in visual data possess specific traits, which can be learned by deep neural networks and are implicitly represented as the visual prior, e.g., object locat…