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20242026
most citedSeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language Model

6 citations · 14 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

SFR-Net: Learning Scale-Frustum Representations for Ultra-Wide Area Remote Sensing Image Segmentation

Chuyu Zhong, Keyan Chen, Qinzhe Yang +3

Pixel count and geographical coverage are two key characteristics of remote sensing images. Existing remote sensing image segmentation methods typically focus on images with either…

cs.CV2025

TaCo: Capturing Spatio-Temporal Semantic Consistency in Remote Sensing Change Detection

Han Guo, Chenyang Liu, Haotian Zhang +3

Remote sensing change detection (RSCD) aims to identify surface changes across bi-temporal satellite images. Most previous methods rely solely on mask supervision, which effectivel…

cs.CV2025★ 5 cited

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models

Keyan Chen, Chenyang Liu, Bowen Chen +3

Referring Remote Sensing Image Segmentation provides a flexible and fine-grained framework for remote sensing scene analysis via vision-language collaborative interpretation. Curre…

cs.CV2025★ 6 cited

SeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language Model

Bowen Chen, Keyan Chen, Mohan Yang +2

High-resolution (HR) remote sensing imagery plays a vital role in a wide range of applications, including urban planning and environmental monitoring. However, due to limitations i…

eess.IV2025

Heterogeneous Mixture of Experts for Remote Sensing Image Super-Resolution

Bowen Chen, Keyan Chen, Mohan Yang +2

Remote sensing image super-resolution (SR) aims to reconstruct high-resolution remote sensing images from low-resolution inputs, thereby addressing limitations imposed by sensors a…

cs.CV2025

DynamicVis: Dynamic Visual Perception for Efficient Remote Sensing Foundation Models

Keyan Chen, Chenyang Liu, Bowen Chen +4

The advancement of RS technology has enabled high-resolution Earth observation; however, interpreting these images using modern VFMs remains a significant challenge. Unlike object-…

cs.CV2024

RSCaMa: Remote Sensing Image Change Captioning with State Space Model

Chenyang Liu, Keyan Chen, Bowen Chen +3

Remote Sensing Image Change Captioning (RSICC) aims to describe surface changes between multi-temporal remote sensing images in language, including the changed object categories, l…

cs.CV2024★ 3 cited

RSMamba: Remote Sensing Image Classification with State Space Model

Keyan Chen, Bowen Chen, Chenyang Liu +3

Remote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation. The recent advancements…