most citedBidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation

13 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification

Yuejun Jiao, Song Qiu, Mingsong Chen +3

In recent years, vehicle re-identification (Re-ID) has gained increasing importance in various applications such as assisted driving systems, traffic flow management, and vehicle t…

cs.CV2023

Gene-induced Multimodal Pre-training for Image-omic Classification

Ting Jin, Xingran Xie, Renjie Wan +2

Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine. This paper proposes a Gene-induced Multim…

cs.CV2023

RecursiveDet: End-to-End Region-based Recursive Object Detection

Jing Zhao, Li Sun, Qingli Li

End-to-end region-based object detectors like Sparse R-CNN usually have multiple cascade bounding box decoding stages, which refine the current predictions according to their previ…

eess.IV20233 cited

Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning

Yiman Liu, Qiming Huang, Xiaoxiang Han +9

Purpose: Congenital heart defect (CHD) is the most common birth defect. Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics…

cs.CV202313 cited

Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation

Yunhao Bai, Duowen Chen, Qingli Li +2

In semi-supervised medical image segmentation, there exist empirical mismatch problems between labeled and unlabeled data distribution. The knowledge learned from the labeled data…

cs.CV20225 cited

Cross Attention Based Style Distribution for Controllable Person Image Synthesis

Xinyue Zhou, Mingyu Yin, Xinyuan Chen +3

Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance. In this paper, we propose a cross attention ba…