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20172026
most citedDeep learning in remote sensing: a review

3.2k citations · 3.4k across the 19 of their papers we have counts for

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cs.CV2026

Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach

Lichao Mou, Shilan Zhang, Chunlei Li +7

Large vision-language models (LVLMs) can be adapted to specialized medical imaging tasks via parameter-efficient fine-tuning approaches such as low-rank adaptation (LoRA), leading…

cs.CV2026

Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports

Bingcong Yan, Chunlei Li, Jingliang Hu +3

Large vision-language models (LVLMs) have achieved strong performance across many medical imaging tasks, yet their application to ultrasound remains limited due to its inherent com…

cs.CV2026

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +54

This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration…

cs.CV2026

Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration

Guanglu Dong, Chunlei Li, Chao Ren +4

Recently, significant breakthroughs have been made in all-in-one image restoration (AiOIR), which can handle multiple restoration tasks with a single model. However, existing metho…

cs.CV2026

Dual Distillation for Few-Shot Anomaly Detection

Le Dong, Qinzhong Tan, Chunlei Li +5

Anomaly detection is a critical task in computer vision with profound implications for medical imaging, where identifying pathologies early can directly impact patient outcomes. Wh…

cs.CV2025

SAM 3D for 3D Object Reconstruction from Remote Sensing Images

Junsheng Yao, Lichao Mou, Qingyu Li

Monocular 3D building reconstruction from remote sensing imagery is essential for scalable urban modeling, yet existing methods often require task-specific architectures and intens…