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20232026
most citedAlternate Diverse Teaching for Semi-supervised Medical Image Segmentation

2 citations · 4 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Semi-MedRef: Semi-Supervised Medical Referring Image Segmentation with Cross-Modal Alignment

Yuchen Li, Ziru Wei, Zhen Zhao +2

Medical referring image segmentation (MRIS) predicts lesion masks from medical images and natural-language referring expressions, but acquiring paired pixel-level annotations and r…

cs.CV2024★ 1 cited

UniBrain: A Unified Model for Cross-Subject Brain Decoding

Zicheng Wang, Zhen Zhao, Luping Zhou +1

Brain decoding aims to reconstruct original stimuli from fMRI signals, providing insights into interpreting mental content. Current approaches rely heavily on subject-specific mode…

cs.CV2023★ 1 cited

Clean Label Disentangling for Medical Image Segmentation with Noisy Labels

Zicheng Wang, Zhen Zhao, Erjian Guo +1

Current methods focusing on medical image segmentation suffer from incorrect annotations, which is known as the noisy label issue. Most medical image segmentation with noisy labels…

cs.CV2023★ 2 cited

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation

Zhen Zhao, Zicheng Wang, Longyue Wang +3

Semi-supervised medical image segmentation studies have shown promise in training models with limited labeled data. However, current dominant teacher-student based approaches can s…

cs.CV2023

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation

Zhanyu Wang, Longyue Wang, Zhen Zhao +7

While the recent advances in Multimodal Large Language Models (MLLMs) constitute a significant leap forward in the field, these models are predominantly confined to the realm of in…

cs.CV2023

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds

Zicheng Wang, Zhen Zhao, Yiming Wu +2

Unsupervised domain adaptation (UDA) is a critical challenge in the field of point cloud analysis. Previous works tackle the problem either by feature extractor adaptation to enabl…