activity
20242026
collaborators

6 papers

cs.CV2026

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…

cs.CV2026

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…

physics.optics2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…