activity
20202026
most citedX-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data

258 citations · 264 across the 9 of their papers we have counts for

collaborators

10 papers

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

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.LG2026

Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network

Fan Fan, Yilei Shi, Tobias Guggemos +1

Quantum machine learning (QML) has gained increasing attention as a potential solution to address the challenges of computation requirements in the future. Earth observation (EO) h…

cs.DL2026

A Deep Dive into OpenStreetMap Research Since its Inception (2008-2024): Contributors, Topics, and Future Trends

Yao Sun, Liqiu Meng, Andres Camero +2

OpenStreetMap (OSM) has transitioned from a pioneering volunteered geographic information (VGI) project into a global, multi-disciplinary research nexus. This study presents a bibl…

cs.CV20251 cited

GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models

Xiao Xiang Zhu, Sining Chen, Fahong Zhang +2

We introduce GlobalBuildingAtlas, a publicly available dataset providing global and complete coverage of building polygons, heights and Level of Detail 1 (LoD1) 3D building models.…