activity
20242026
most citedSegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

3 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

OCR-Agent: Agentic OCR with Capability and Memory Reflection

Shimin Wen, Zeyu Zhang, Xingdou Bian +5

Large Vision-Language Models (VLMs) have demonstrated significant potential on complex visual understanding tasks through iterative optimization methods.However, these models gener…

cs.CV2026

OmniOCR: Generalist OCR for Ethnic Minority Languages

Bonan Liu, Zeyu Zhang, Bingbing Meng +5

Optical character recognition (OCR) has advanced rapidly with deep learning and multimodal models, yet most methods focus on well-resourced scripts such as Latin and Chinese. Ethni…

cs.CV2025

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation

Hongjie Zhu, Xiwei Liu, Rundong Xue +5

In the era of information explosion, efficiently leveraging large-scale unlabeled data while minimizing the reliance on high-quality pixel-level annotations remains a critical chal…

cs.CV2025

DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps

Hongjie Zhu, Zeyu Zhang, Guansong Pang +6

Weakly supervised semantic segmentation (WSSS) typically utilizes limited semantic annotations to obtain initial Class Activation Maps (CAMs). However, due to the inadequate coupli…

cs.CV20243 cited

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation

Shengbo Tan, Zeyu Zhang, Ying Cai +5

Medical imaging segmentation plays a significant role in the automatic recognition and analysis of lesions. State-of-the-art methods, particularly those utilizing transformers, hav…