works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CV2026

GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing

Yujie Li, Jiancheng Pan, Zhiwei Wei +3

Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…

cs.CV2026

Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence

Zhishan Zou, Guoyan Sun, Zhiwei Wei +4

The paper presents SIS-Bench, a benchmark for assessing UAV embodied spatial intelligence that jointly evaluates spatial cognition and self‑awareness across perception, memory, and…

cs.CV2026

BTCChat: Advancing Remote Sensing Bi-temporal Change Captioning with Multimodal Large Language Model

Yujie Li, Wenjia Xu, Yuanben Zhang +2

Bi-temporal satellite imagery supports critical applications such as urbanization monitoring and disaster assessment. Although powerful multimodal large language models~(MLLMs) hav…

cs.HC2025

MapColorAI: Designing Contextually Relevant Choropleth Map Color Schemes Using a Large Language Model

Nai Yang, Yijie Wang, Fan Wu +1

Choropleth maps, which utilize color schemes to visualize spatial patterns and trends, are simple yet effective tools for geographic data analysis. As such, color scheme design is…

cs.CV2025

TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo

Song Zhang, Zhiwei Wei, Wenjia Xu +4

3D terrain reconstruction with remote sensing imagery achieves cost-effective and large-scale earth observation and is crucial for safeguarding natural disasters, monitoring ecolog…

cs.CV2024

UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models

Yujie Li, Wenjia Xu, Guangzuo Li +4

The domain gap between remote sensing imagery and natural images has recently received widespread attention and Vision-Language Models (VLMs) have demonstrated excellent generaliza…