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20072026
most citedEfficient and ultra-stable perovskite light-emitting diodes

365 citations

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31 papers · 1 filter

cs.CV2026

OPERA: Offline Policy-guided Expert Routing and Adaptation for Universal Biomedical Image Analysis

Zihan Li, Feiyang Liu, Dandan Shan +2

Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distribution shifts across scanners, protocols, and patient population…

cs.CV2026★ 4 cited

Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation

Hong Liu, Dong Wei, Qian Dai +3

Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications.…

cs.CV2025★ 4 cited

TextMamba: Scene Text Detector with Mamba

Qiyan Zhao, Yue Yan, Da-Han Wang

In scene text detection, Transformer-based methods have addressed the global feature extraction limitations inherent in traditional convolution neural network-based methods. Howeve…

cs.CV2025

Seeing Symbols, Missing Cultures: Probing Vision-Language Models' Reasoning on Fire Imagery and Cultural Meaning

Haorui Yu, Yang Zhao, Yijia Chu +1

Vision-Language Models (VLMs) often appear culturally competent but rely on superficial pattern matching rather than genuine cultural understanding. We introduce a diagnostic frame…

cs.CV2024★ 8 cited

The Effectiveness of a Simplified Model Structure for Crowd Counting

Lei Chen, Xinghang Gao, Fei Chao +6

In the field of crowd counting research, many recent deep learning based methods have demonstrated robust capabilities for accurately estimating crowd sizes. However, the enhanceme…

cs.CV2023★ 14 cited

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

Kaiyuan Yang, Fabio Musio, Yihui Ma +112

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…