10 citations · 17 across the 11 of their papers we have counts for
12 papers
SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation
Zhiyuan Ma, Zhengfeng Shi, Yuning An +6
While Text-to-Image (T2I) models have shown remarkable success in generating photorealistic visual content, they still struggle with the rigorous semantic alignment and logical rea…
Segmentation-Assisted Brain MRI Synthesis with Cross-Image Multi-Contrast Feature Memory Bank Retrieval Augmentation
Wenwei Huang, Jia Wei, Jianlong Zhou
Multi-contrast brain MRI provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption and…
CSPR-Net: Self-supervised Curved Surface Projection Rectification Network for Geometric Distortion Correction in Non-planar Projections
Kejin Peng, Jia Wei, Xiang Hao
Projecting images onto non-planar surfaces inevitably introduces geometric distortions that degrade visual quality. Traditional correction methods often require tedious manual cali…
Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation
Jia Wei, Xiaoqi Zhao, Jonghye Woo +4
Single domain generalization (SDG) has recently attracted growing attention in medical image segmentation. One promising strategy for SDG is to leverage consistent semantic shape p…
DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
Xueqiang Ouyang, Jia Wei, Wenjie Huo +3
Temporal embryo images and parental fertility table indicators are both valuable for pregnancy prediction in \textbf{in vitro fertilization embryo transfer} (IVF-ET). However, curr…
DH-VTON: Deep Text-Driven Virtual Try-On via Hybrid Attention Learning
Jiabao Wei, Zhiyuan Ma
Virtual Try-ON (VTON) aims to synthesis specific person images dressed in given garments, which recently receives numerous attention in online shopping scenarios. Currently, the co…
Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
Chuan Huang, Jia Wei, Rui Li
Multi-modal brain images from MRI scans are widely used in clinical diagnosis to provide complementary information from different modalities. However, obtaining fully paired multi-…
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning
Zecheng Liu, Jia Wei, Rui Li
Due to the difficulties of obtaining multimodal paired images in clinical practice, recent studies propose to train brain tumor segmentation models with unpaired images and capture…
SFusion: Self-attention based N-to-One Multimodal Fusion Block
Zecheng Liu, Jia Wei, Rui Li +1
People perceive the world with different senses, such as sight, hearing, smell, and touch. Processing and fusing information from multiple modalities enables Artificial Intelligenc…
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation
Zekang Chen, Jia Wei, Rui Li
In clinical practice, well-aligned multi-modal images, such as Magnetic Resonance (MR) and Computed Tomography (CT), together can provide complementary information for image-guided…
A Compact Neural Network-based Algorithm for Robust Image Watermarking
Hong-Bo Xu, Rong Wang, Jia Wei +1
Digital image watermarking seeks to protect the digital media information from unauthorized access, where the message is embedded into the digital image and extracted from it, even…
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao +14
WebFG 2020 is an international challenge hosted by Nanjing University of Science and Technology, University of Edinburgh, Nanjing University, The University of Adelaide, Waseda Uni…